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Integrates 15 skills from\n[agentic-qe](https://github.com/proffesor-for-testing/agentic-qe) for quality engineering. Part of\nthe [Keysarium](https://www.npmjs.com/package/@dzhechkov/keysarium) ecosystem.\n\n> **For your team:** the `features/<slug>/` folder this produces *is* the spec — reviewable in a PR,\n> onboarding doc for free, every decision captured as an ADR, and machine-checked back against the\n> code by the QE phase. See **[Spec-Driven Development](#spec-driven-development-sdd)** below.\n>\n> 👉 **Onboarding a team? Start here:** [**Feature ADR — Team Onboarding**](https://github.com/djd1m/dz-skill-bundles/blob/main/docs/feature-adr-team-onboarding.md) — a single read-top-to-bottom playbook (install → first feature → SDD mechanics → model routing incl. Fable → self-learning layers → team PR workflow → FAQ). It also ships **inside this package** at `node_modules/@dzhechkov/skills-feature-adr/docs/team-onboarding.md` ([raw copy on unpkg](https://unpkg.com/@dzhechkov/skills-feature-adr/docs/team-onboarding.md)), so every install has it locally.\n\n---\n\n## Quick Start\n\n```bash\n# Core install (feature-adr pipeline only)\nnpx @dzhechkov/skills-feature-adr init\n\n# Full install with learning + knowledge extraction\nnpx @dzhechkov/skills-feature-adr init --with-learning --knowledge-extractor\n\n# Or install globally\nnpm install -g @dzhechkov/skills-feature-adr\nskills-feature-adr init --with-learning --knowledge-extractor\n\n# Already have @dzhechkov/keysarium? Just install core (learning & harvest included)\nnpx @dzhechkov/skills-feature-adr init\n```\n\nAfter installation, open Claude Code in your project directory and use `/feature-adr`.\n\nPlain usage guidance joins the existing stage writer to `usage --by-stage --project` with explicit FA/\nWf source selection and observed receipt IDs. It preserves unknown splits/prices, caller estimates and\nseparate conservation/inventory/source verification. No billing inference, new ledger or paid replay.\n\nPlain Step 8 bridge guidance now passes current `--round`, `--round-run` and `--task` from the existing\nround receipt with the execution `--project`. Explicit conflicts refuse before reviewer work; the\nbridge's invocation `runId` stays distinct from pipeline identity. Native Workflow QE remains its own\nreview path. Historical window correlation is disclosed as lower assurance, without guessed identity.\n\nStep 7 uses the installed `scripts/build-coder-context.mjs` helper to include literal requirements,\nplan tasks and ADR Decision/Confirmation. Workflow reads current inputs before code checkpoint\nlookup; plain coding runs the same helper and reads or embeds its successful `promptBlock`.\nMissing required sections, invalid files and exceeded UTF-8 bounds refuse coding instead of trimming\nthe context. Existing decision recall and code-wrapper routing remain in place.\n\n---\n\n## What You Get\n\n| Component | Count | Description |\n|-----------|-------|-------------|\n| **Skill** | 1 | `feature-adr` — 11-step pipeline with complexity routing |\n| **Modules** | 12 | Steps 00-09 + 03.5 + opt-in 10: Router → Requirements → Research → ADR → QCSD → DDD → Architecture → Plan → Code → QE → Fleet QE → Delivery Gate (opt-in) |\n| **References** | 4+15 | Complexity matrix, ADR/C4/QE templates + 15 agentic-qe skill protocols |\n| **Examples** | 1 | Sample M-tier feature output |\n| **Command** | 1 | `/feature-adr` — orchestrator (supports `--full-qe` and `--full-qe-extended`) |\n| **Rules** | 1 | `feature-adr-conventions` — directory structure and naming |\n| **Shards** | 1 | `feature-adr` — governance shard with quality gates |\n\nEverything is installed into your project's `.claude/` directory and works natively with Claude Code.\n\n---\n\n## Commands\n\n```bash\nnpx @dzhechkov/skills-feature-adr                    # Full install (same as init)\nnpx @dzhechkov/skills-feature-adr init               # Install core components\nnpx @dzhechkov/skills-feature-adr init --with-learning                  # + reward learning\nnpx @dzhechkov/skills-feature-adr init --knowledge-extractor            # + knowledge extractor\nnpx @dzhechkov/skills-feature-adr init --with-learning --knowledge-extractor  # + both\nnpx @dzhechkov/skills-feature-adr init --force       # Overwrite existing files (a locally\n                                                     # changed file is copied to <file>.bak first,\n                                                     # and the copy is named in the report)\nnpx @dzhechkov/skills-feature-adr init --dry-run     # Preview without making changes\nnpx @dzhechkov/skills-feature-adr update             # Update to latest version\nnpx @dzhechkov/skills-feature-adr remove             # Clean uninstall\nnpx @dzhechkov/skills-feature-adr list               # Show installed components\nnpx @dzhechkov/skills-feature-adr doctor             # Health check\n```\n\n---\n\n## Feature ADR Pipeline\n\n```\nStep 0        Step 1          Step 2       Step 3      Step 3.5      Step 4\nCOMPLEXITY → REQUIREMENTS → RESEARCH  →   ADR    →  QCSD SWARM  →   DDD\n  ROUTER                   (L/XL only)  (M+ only)   (M+ only)    (L/XL only)\n\nStep 5         Step 6            Step 7     Step 8     Step 9\nARCHITECTURE → IMPLEMENTATION →  CODE   →   QE    →  FLEET QE\n(M+ only)       PLAN                                (L/XL only)\n```\n\n### Usage in Claude Code\n\n```bash\n# Start the full adaptive pipeline\n/feature-adr Add user authentication with OAuth2 and JWT\n\n# The Complexity Router classifies your feature automatically:\n#   S  → fast track (5 steps)\n#   M  → standard (8 steps)\n#   L  → full pipeline (11 steps)\n#   XL → full DAG + multi-agent swarm\n\n# With full agentic-qe integration (requires: npm install -g agentic-qe)\n/feature-adr --full-qe Add payment processing module\n# Full protocols for 9 core skills, same agents, deeper methodology\n\n# With extended agentic-qe (chaos, security, performance, mutation, TDD)\n/feature-adr --full-qe-extended Migrate authentication to zero-trust architecture\n# Full protocols + 6 extra skills, up to 7 fleet QE agents\n```\n\n### Checkpoint reads have one source (v1.5.14)\n\n`loadCheckpoints` in the bundled `feature-adr.js` now builds its read command with the checkpoints blob's own\n`checkpointReadCmd(FDIR)` instead of a hand-written duplicate, so the helper with the speaking name is the one the pipeline\nruns. Behaviour is unchanged: for directory names with spaces, quotes and missing directories the shell output is\nbyte-identical (proved against the old command). A wiring test fails if the duplicate is re-inlined.\n\n### Advisory micro-recall at two decision points (v1.5.9, staged)\n\nThe workflow makes one bounded decision-local recall attempt immediately before the live Step 3\nADR-alternative choice and one immediately before the live Step 6 plan-route choice. Each attempt\nasks for at most three lessons, uses a decision-specific lesson-bandit context, has a 15-second\nwhole-attempt ceiling, and is never retried. The Step 6 Codex-to-Claude fallback reuses the same\nsnapshot instead of recalling again.\n\nThis is strictly advisory. Empty output, timeout, command/parse/transport failure, an unwritable\nreceipt, or an unestablished application probe leaves the original stage prompt, dispatch count,\nresult, and verdict unchanged. There is no hard gate or runtime effectiveness threshold.\n\nThe append-only evidence lives at\n`features/<slug>/.fa-state/decision-recall.jsonl`: versioned `entered`, `recalled`, `applied`, and\noptional `owner-label` rows. Post-hoc analysis can derive `receipted / eligible`, outcome counts,\n`applied / selected`, owner-label coverage, repeat-hit numerator/denominator, irrelevant injections,\nand explicit uncounted/unknown populations. The motivating timing observation remains external\n`[SRC], n=1`; the required book queries were silent on retrieval timing, so this instrumentation is\na falsifiable hypothesis, not a claim that decision-point recall is needed or effective here.\n\n### The K2 plan gate runs on ANY repo, not just JS/TS ones (v1.5.0)\n\nBetween Step 6 and Step 7 the pipeline runs a machine plan-completeness gate (K2). Until v1.5.0 it\ncould not finish a run on a non-JS repository — three separate defects, all closed here.\n\n**1. Test paths in every ecosystem.** C2 checks that each ADR's Confirmation names a test file and\nthat the plan names the same path. It used to demand a `.test.(ts|mjs|js)` suffix, so on a Python,\nGo, Rust, JVM or .NET repo it found nothing and failed the plan (measured: 4/4 JS forms matched,\n0/11 non-JS forms did). It now uses a two-stage predicate — candidate paths are extracted from the\nConfirmation text, then matched against one anchored rule per ecosystem:\n\n| Ecosystem | Recognised |\n|---|---|\n| JS/TS | `*.test.*` / `*.spec.*` (`ts tsx mts cts mjs cjs js jsx`) |\n| pytest | `test_*.py` **and** `*_test.py` |\n| Go | `*_test.go` |\n| Rust | `tests/*.rs` **and** `tests.rs` |\n| JVM | `*Test|Tests|IT|Spec.(java kt kts scala groovy)` |\n| .NET | `*Test|Tests.(cs fs vb)` |\n\nDeliberately NOT \"any path containing the word test\": `docs/testing.md`, `src/latest.rs`,\n`contests/results.py` and a sentence like *\"the staleness test will verify this\"* are all refused. A\ngate that passes prose is worse than one that fails Python. An unknown ecosystem is still a FAIL,\nnever a warning — the message names the recognised set and points at the override below.\n\n**Extending the vocabulary — `testPathRules`.** Add rules to the manifest the pipeline already\nreads, `architecture/project-skills.json` (no second dotfile):\n\n```json\n{\n  \"testPathRules\": [\n    { \"ecosystem\": \"elixir\", \"pattern\": \"(?:^|/)test/[^/]+_test\\\\.exs\" }\n  ]\n}\n```\n\nRules are ADDED to the built-ins, never replace them, and each pattern is anchored by wrapping\n(`(?:<pattern>)$`) so every branch of an alternation is anchored. A malformed `testPathRules`\n(bad JSON, not an array, missing `ecosystem`/`pattern`, an invalid regex, over 200 characters, or a\nnested quantifier) is **NOT-ESTABLISHED, exit 3** — never a quiet fall-back to the built-ins.\n\n**2. The gate script is found where it is installed — `args.gateScript`.** The skill lives in your\nWORKSPACE; the gate command `cd`s into the TARGET repo, so a repo-relative lookup died with\n`Cannot find module` on every repo that is not itself a feature-adr install. The resolution order is\nnow:\n\n1. `args.gateScript` — an explicit ABSOLUTE path (validated: absolute, no `..`, or the run fails loudly);\n2. the WORKSPACE copy (`$WS/.claude/skills/feature-adr/scripts/check-plan-completeness.mjs`);\n3. the target-repo copy.\n\nWorkspace before repo on purpose: the verdict contract is defined by the parser inside the running\nworkflow, so only that installation's own copy is known to speak it. Every run echoes\n`K2_GATE_SCRIPT=` (which copy ran) and `K2_GATE_TRIED=` (all candidates) for audit. If none exists\nthe run refuses with reason `tooling-missing` — a NOT-ESTABLISHED, never a skip — and the operator\nmessage says the gate could not be RUN and that this is **not** a plan defect.\n\n**3. Dotfile targets are admissible; directory-shaped ones are not.** `EXPECTED_CODE_TARGETS` may\nnow name `.claude/…`, `.github/workflows/ci.yml`, `.gitignore`, `.env.example`. What is refused is\nrefused BY NAME: `path traversal ('..' segment)`, `degenerate path segment`, `empty path segment`,\n`trailing slash — names a directory, not a file`, `path segment ends with '.'`,\n`illegal character '<c>'`, `empty stem after the leading dot`. The old substring traversal test also\nrejected the ordinary filename `foo..bar.ts`; it is a segment test now.\n\n### The Step-8 amendment gate runs a command instead of judging (v1.5.8)\n\nEvery `AM-N` row must resolve to a test found INSIDE the file the row names, and the check is\n`dz amendment-check --slug <slug> --json` rather than a paragraph asking the reviewer to confirm it.\nMEASURED 2026-08-21: `features/qe-scoped-review` shipped with five named amendment test ids of which\nnone existed, while its plan recorded `## Amendments: None`. The gate did not fail — a prompt cannot.\n\nThe PLAN is authoritative when it carries rows (Step 6 owes \"carry AM-N into the plan verbatim\"), and\nthe rule that keeps that honest is coverage: an amendment the plan drops — or rewords under the same\nid — is a failure. Renaming the TEST stays legitimate; tests are named later than ideation guesses.\n\nThe durable writers were migrated in the same release: the run-cost ledger and the training-pair\ncapture no longer hand a subagent a pre-baked shell string with their payload baked in — the shape a\nsecurity classifier blocked nine times in one run. Both call `dz feature-adr-record`, which refuses\nbefore writing and verifies the append by re-reading the tail. A record failure still never fails the\nrun; it now survives it in `recordFailures`.\n\nRequires `@dzhechkov/harness-core >= 0.6.1`.\n\n### The QE instrument writes its own ledger row (aqe-ledger-row)\n\nBefore this, the run-cost ledger recorded `plan`, `full`, `design-gate` and friends automatically, but\nthe pass that actually reviews the code — Step 8 QE — left zero autorows: every `qe`/`impl` row in the\nledger was hand-entered, with no model, no findings count, no cross-family signal. The `Workflow`\npipeline now writes two additional autorows, both additive-only (existing rows are byte-identical to\nbefore — `appendRunCostRow` gained an optional fourth `extra` argument, spread in only after every\npre-existing field):\n\n- **`impl`** — written right after the Step 7.5 landing barrier settles: `coder`, `coderFamily`, and\n  `landed` (the barrier's verdict string, or `skipped-claude-sync` for a synchronous Claude coder that\n  never runs the barrier). Writing it here — before Step 8 starts — means the `qe` row's\n  `minutesSincePrev` measures the QE step alone, not QE-plus-code.\n- **`qe`** — written right after the QE step resolves: `reviewer` (the model, or `null` if unknown),\n  `reviewerFamily`, `qeRole` (`qe-code-reviewer` for Claude; `codex-review`/`codex-exec` for Codex by\n  scope mode; never guessed), `grade`, `gradeSource` (if known), `findings` + `findingsBySeverity` +\n  `findingsSource` (normalized from the QE `gaps[]`; an unknown severity counts as `other`, never\n  dropped; no `gaps` array at all reads as `findings:0`, `findingsSource:'no-gaps-array'`), `claimCheck`\n  (if run), `crossFamily` (bool — reviewer family differs from coder family), and `qeScope` (if the\n  reviewer ran scoped, e.g. Codex's `mode`/`ref`/`files`).\n\nBoth rows are skipped — with a logged reason, never silently — when their stage resumed from a\ncheckpoint (`resumedStages`), so a resumed run never double-pays the ledger. Plain-mode runs (the\ninteractive SKILL, not the ultracode `Workflow`) carry the same fields as a manual step at the end of\n`modules/08-qe.md` — see that module for the exact command.\n\n### Step 0 writes the assessment down, and the acid check gets its input back (v1.5.0)\n\nStep 0 classifies the feature and now **writes `00_complexity_assessment.md` before it returns** — the\ntier with the criterion that decided it, the active steps, the recalled patterns, and an acid-case\ntable. MEASURED 2026-08-21: 66 of 199 features carried that file and the last four in a row did not,\nwith two silent consequences. The tier was recorded NOWHERE while a run was alive (the router\ncheckpoint lands at phase end and the result object only at the very end), so mid-run it had to be\nguessed from which artifacts happened to exist. And the K2 gate reads its acid corpus from that file,\nso the C4 check quietly switched itself off — including for the features that introduced it.\n\nAcid rows are pinned to the exact shape the gate parses, `| A<n> | <the bad input> | <what must\nhappen> |`; a loose shape disables the check just as silently as a missing file. A feature with no\nacid cases still says so in prose and writes no table — the gate now tells an ABSENT file (a warning\nthat names the missing artifact) from a deliberate skip.\n\nTwo ways the tier could still go unrecorded, both closed here:\n\n- a **pre-contract router checkpoint** used to resume into the new contract. The resume gate only asks\n  whether the artifact is PRESENT, and any of the 66 features carrying a tableless file satisfied it,\n  so Step 0 never re-ran. A router-scoped hash token now makes those entries re-run — once, and only\n  the router, rather than every in-flight stage.\n- a **caller-forced `args.tier`** is now the tier of record. The run executes the override, so the\n  file carries `Effective tier: <forced> (forced by the caller)` alongside the router's own\n  recommendation, and sizes the acid table for the effective tier. With no override the prompt is\n  byte-identical to before.\n\nRequires `@dzhechkov/harness-core >= 0.6.0`.\n\n### The Step-8 QE stage measures the run, not the room (v1.5.0)\n\nFour separate ways the QE stage graded the wrong thing, all closed: the change set is this run's DELTA\n(a pre-code baseline against the state after) instead of the working tree's current dirt, so an\nunrelated dirty file can no longer grade your feature; a finding whose location cannot be parsed is\n`unlocatable` and stays in the graded set, where it used to be filed as someone else's dirt — unknown\ncounted as clean, inside the function whose job is honest attribution; mode B refuses a scope built\nfrom unlanded code, an unmeasured change set, or an empty intersection; and the QE scribe is\nWITNESSED — the report is re-hashed before and after, so a file left by an earlier run can no longer\nstand in for one this run never wrote.\n\n### The design fan resumes per sibling, and an incomplete design is REFUSED (v1.4.0)\n\nStep 1–5 run as one parallel fan — requirements, ADR, QCSD, architecture. Until v1.4.0 the whole fan\nwas ONE checkpoint entry, so a single dead agent discarded three finished siblings and the next\ninvocation paid for all four again. Each sibling is now checkpointed on its own\n(`design:requirements` / `design:adr` / `design:qcsd` / `design:architecture`), keyed on what steers\n**it** — its own prompt text included, so correcting one step's instructions re-runs that step and\nleaves the others alone.\n\nThe other half is what the pipeline is allowed to CONSUME. An incomplete fan no longer flows into\nStep 6: the run stops at the Step-5/6 boundary and returns `phase: 'design-incomplete'` rather than\nproducing a plan with no ADR behind it. Three distinct reasons, each with its own repair:\n\n| Reason | What happened | Repair printed |\n|---|---|---|\n| `substage-missing` | a sibling agent died (often a Claude limit) | re-invoke — the finished siblings resume free; or route that stage to Codex |\n| `artifact-missing` | every sibling reported success, but a required file is not on disk | under `resume:'force'` it says use `resume:'never'` — force skips artifact probes, so re-invoking would loop |\n| `probe-not-established` | the check could not be trusted at all | inconclusive is never a pass — refuse, then re-run |\n\nThe artifact check never lists a directory. It asks `[ -f <exact path> ]` per required artifact,\nbecause a listing is a list of filenames and the data can impersonate the frame: measured, a file\nwhose NAME ends in a newline satisfied the requirement for the real file. And since the check is\nrelayed by an agent rather than read from a pipe, the whole transcript is validated — an agent that\nmerely *narrates* the expected output emits the token byte-identically, and that produced a false\npass before this release.\n\nRequires `@dzhechkov/harness-core >= 0.5.4`. **One-time cost:** the checkpoint schema moved to\n`fa-ckpt-3`, so every existing `.fa-state/checkpoints.jsonl` reads as no checkpoint and each\nin-flight feature re-runs router+design+plan once.\n\n### Durable checkpoints + resume (v1.3.64)\n\nEvery expensive stage (router / design / plan / code / qe / fleet) checkpoints its result into\n`features/<slug>/.fa-state/checkpoints.jsonl`. Re-invoking the workflow with the SAME slug resumes\ncompleted stages instead of re-running them — covering both a **killed run** (previously a total\nrestart: the exact failure mode that motivated usage-adaptive routing) and the **standard L/XL\ntwo-phase flow** (the `stopAfter: 'plan'` → `stopAfter: 'none'` re-invoke now resumes\nrouter+design+plan for free).\n\n```js\n// run 1 (dies mid-code, or stops at the L/XL plan checkpoint)…\nWorkflow({ scriptPath: '.claude/workflows/feature-adr.js', args: { slug: 'add-x', description: '…' } })\n// run 2 — same slug: completed stages resume, only the unfinished work runs\nWorkflow({ scriptPath: '.claude/workflows/feature-adr.js', args: { slug: 'add-x', description: '…', stopAfter: 'none' } })\n//   → log: \"checkpoint: router RESUMED … design RESUMED … plan RESUMED\"; result carries resumedStages\n```\n\nKnobs: `args.resume: 'auto'` (default — resume only on input-hash match AND every tier-required\nartifact present) · `'never'` (ignore recorded state) · `'force'` (trust the hash, skip artifact\nprobes); `args.checkpoints: false` disables the layer entirely. **Honest scope:** resume proves the\nrun *inputs* are unchanged and artifacts exist — it does NOT fingerprint the working tree; after\nmanual edits mid-feature pass `resume: 'never'` (or delete `.fa-state/`) and re-QE. A stale-input\ncheckpoint never resumes in any mode. RU: упавший L/XL-ран продолжает с места смерти, а не\nпере-тратит выполненные стадии; штатный двухфазный L/XL-флоу тоже дешевеет — re-invoke после\nплан-чекпоинта возобновляет router+design+plan из чекпоинтов.\n\n### Codex model routing (optional)\n\nIf [Codex](https://developers.openai.com/codex) is installed + logged in, the pipeline can route work to\nCodex — **always asking first, always with a Claude fallback** (it never blocks on Codex). Three opt-in\nknobs (via the workflow `args`, or offered interactively at the planning checkpoint):\n\n| Knob | Step | What it does |\n|---|---|---|\n| `planner: 'codex'` | 6 Plan | plan on Codex's top model (Claude fallback) |\n| `coder: 'codex-fallback'` | 7 Code | Claude first; **if the Claude Code limit is exhausted mid-run → retry on Codex** |\n| `qeReviewer: 'codex-fallback'` | 8 QE/tests | same fallback for the review/testing stage |\n| `codexModel: 'auto'` | — | which Codex model (`auto` default (Codex self-selects) · or an id your account exposes (e.g. `gpt-5.5`)) |\n\n**Scenario — never stall on a rate limit:** a long L/XL feature hits the Claude Code session limit while\nwriting code. Without this the run stalls; with `coder: 'codex-fallback'` the pipeline logs *\"Claude\nunavailable (limit?) — falling back to Codex auto\"* and finishes the code + tests on Codex, no\nrestart and no lost work.\n\n**Codex writes are out-of-band — the Step-7.5 landed barrier waits for them.** Codex applies edits via\nits own runtime, so a naive pipeline runs QE before the async write flushes and false-grades *\"Step 7\nnever ran\"* on real code. For a Codex-coded run the pipeline polls a **bounded 120s backing-off window**\n(`1,2,2,5,5,10,10,15,20,25,25`s), preferring the code stage's *declared expected files* when known, and\nemits an explicit `changed=0 after 120s — genuinely not landed` only when the window truly expires — so\nQE distinguishes \"not implemented\" from \"not yet flushed\". A Claude-coded run is synchronous and skips\nthe barrier entirely (zero added wait). Note: if Codex flushes slower than 120s, re-verify after the run\nrather than trusting the end-of-run grade.\n\n```bash\n# Headless login on a VPS (no browser):\ncodex login --device-auth                       # prints a code + URL you approve on another device\n# — or —\nprintenv OPENAI_API_KEY | codex login --with-api-key\n```\n\n```js\n// ultracode (the deterministic workflow form): plan on Codex, code+QE fall back to Codex on Claude-limit:\nWorkflow({ scriptPath: '.claude/workflows/feature-adr.js',\n  args: { slug: 'add-oauth', description: '…', tier: 'M',\n          planner: 'codex', coder: 'codex-fallback', qeReviewer: 'codex-fallback', codexModel: 'auto' } })  // 'auto' = Codex picks top; or pin e.g. 'gpt-5.5'\n```\n\nOmit the Codex knobs entirely for today's all-Claude behavior. The run result reports\n`plannerUsed` / `coderUsed` / `qeReviewerUsed` / `codexModel` / `modelsUsed` as a legacy routing\nsummary. `dispatchOutcomes` is the authoritative who-did-what ledger: it contains only settled\nattempts, never pre-dispatch intent.\n\n**Live model visibility in `/workflows`:** each stage prints a two-phase line. `▸ ... · intent`\nappears before the target model starts and names the resolved model and selection reason;\n`◆ ... · outcome: ...` appears only after that attempt settles. Only the latter enters `dispatchOutcomes`.\nThis matters because a Codex stage's auto\nmodel-badge shows the `codex:codex-rescue` Claude wrapper (the session model), never `codex`; the\ntwo-phase lines are the honest signal. A Claude fallback appears as its own distinct attempt (never\nmislabeled as Codex), and a routing-off intent explicitly says `routing not requested`.\n\n### Per-stage model routing — `args.models`\n\nThe three Codex knobs above are shortcuts. `args.models` is the **general dial**: an optional map that\nroutes each of the 11 pipeline stages to an optimal model. Keys: `{router, requirements, research, adr,\nideation, ddd, architecture, plan, code, qe, fleet}`. Each value is a **spec** — Claude\n`fable|opus|sonnet|haiku`, or Codex `codex` / `codex:<id>` / `codex:<id>:<reasoning>`\n(`reasoning ∈ low|medium|high|xhigh`; ids incl. `gpt-5.5`, `gpt-5.6`, `gpt-5.6-sol` — the last is the\ndefault auto-top reviewer; ids are account-specific, so probe with `codex exec -m <id>` before pinning).\n\n**Recommended DEFAULT TABLE** (applied only when you opt in — one `args.models` key or any Codex knob\nturns it on; otherwise every stage is session-inherited, byte-identical to today):\n\n| router | requirements | adr | ideation | architecture | plan | code | qe | fleet |\n|---|---|---|---|---|---|---|---|---|\n| `fable` | `sonnet` | `opus` | `sonnet` | `opus` | `sonnet` | coder (default `opus`) | cross-model | `sonnet` |\n\n(`research` folds into `requirements`, `ddd` into `architecture` — recorded in `modelsUsed`, not a\nseparate call.)\n\n**Cross-model QE default (load-bearing):** when `args.models.qe` is unset, QE auto-routes to the **other\nfamily than the coder** — a model that writes code must not also self-QE; independent cross-model review\ncatches what self-review misses. coder=Codex ⇒ QE=Claude (`opus`); coder=Claude ⇒ QE=Codex\n(`codex:<top>:high`), or a Claude reviewer if Codex is unavailable (never blocks).\n\n### Step 8 on Codex is SCOPED — two modes, and every fallback names its cause\n\nWhen QE routes to Codex, Step 8 no longer hands it one unscoped `codex exec` prompt. Why, MEASURED\n2026-08-21 — same question, same model (`gpt-5.6-sol`, effort `high`), three dispatches:\n\n| dispatch | prompt | wall time | exit | verdict? |\n|---|---|---|---|---|\n| `codex exec`, unscoped | 19 038 chars | 280 s (and again under a 1500 s ceiling) | 124 | **none** — 416 KB of exploration |\n| `codex exec`, scoped (*\"read ONLY these two files\"*) | 1 461 chars | 41 s | 0 | `Grade: B` + findings |\n| `codex review --commit <SHA>` | scope from the diff | 146 s | 0 | verdict + findings |\n\nThe unscoped run spent its budget on **reconnaissance of the tree**, not on reasoning about the change.\nSo raising the timeout does not help, and the prompt-length ceiling was never the binding constraint\n(19 038 sat under `CODEX_EXEC_PROMPT_CEILING_CHARS` = 24 000 with ~5 000 to spare). The cost is not the\nwasted minutes: on timeout the dispatch returns `null`, the belt runs a Claude reviewer, and\ncross-family QE is silently lost — on exactly the big features that need it most.\n\n- **Mode A (primary): `codex review`.** The scope comes from the DIFF, so Codex computes for free the\n  thing we were paying a model to do badly. Default scope `--uncommitted`; override with\n  `args.qeScope: 'commit' | 'base'` + `args.qeScopeRef`. Two CLI facts are encoded as refusals, both\n  measured: `codex review` rejects `-m` (exit 2 — the model goes through `-c model=`), and **every**\n  scope flag rejects a positional prompt (`--commit`, `--base` and `--uncommitted` alike, exit 2). So\n  mode A runs on Codex's built-in review instructions and cannot be asked our questions.\n- **Mode B (follow-up): a NARROWED `codex exec`.** Carries our own questions over at most 3 named\n  files with the load-bearing clause *\"read ONLY these files, do not explore the repository\"*, and\n  ends with `Grade: <A|B|C|D>`. An unscoped mode-B prompt is not constructible: an empty file list\n  returns `''` and `codexExecPlan` refuses an unscoped `qe` prompt outright.\n- **The verdict is parsed, never synthesised.** A `Grade: D` is a SUCCESSFUL cross-family review; a\n  review with no grade is a FAILED one. Mode A cannot state a letter, so its grade is DERIVED from the\n  severities it reported and labelled `gradeSource: 'derived-from-findings'` — and **zero findings\n  yields `null`, never `A`** (measured: `codex review` on a clean tree exits 0 with a polite, entirely\n  empty review; calling that an `A` would be a review of nothing reported as a pass).\n- **Every fallback names its cause.** The reason carried into\n  `opus (cross-family QE DID NOT happen — …)` comes from a locked taxonomy —\n  `timeout` (narrow the scope) · `no-verdict` · `tool-error` (fix the invocation) · `unusable-output` ·\n  `unavailable` (fix the account/model) · `over-ceiling` · `scope-not-established` (mode A's scope\n  could not be built — see below) · `base-ref-not-established` (the scope's base-ref probe failed or\n  was unparseable — see below). A timeout and an unusable output can never render the same string,\n  because the operator's next move differs.\n- **The pipeline still never blocks on Codex.** Both modes fail into the same Claude belt as before.\n\n**Mode A's `--uncommitted` pass runs in an ISOLATED scope-repo, never on the shared tree.** MEASURED\n2026-09-17 (run `wf_95211e0f`): on a hub with other dirty packages, `codex review --uncommitted`\nwandered into unrelated files (`books/`, `features/clean-code-*`) and timed out at 600s having\nreviewed nothing of the run's own feature — cross-family QE silently lost on exactly the runs that\nneed it most. Before mode A is attempted for scope `'uncommitted'` (the default), the pipeline now:\nbuilds a throwaway git repo under `features/<slug>/.fa-state/review-scope/` containing ONLY the\nESTABLISHED change set (the same `modeBChanged` measurement mode B already uses — base versions via\n`git show <BASE_REF>:<path>` in one commit, working versions copied on top); verifies the receipt\n(`git status --porcelain` in that repo names EXACTLY the declared files, never \"close enough\"); and\nruns `codex review --uncommitted` with `repo:` pointed at that isolated tree. Findings come back with\nthe scope-repo's own absolute path and are normalized to repo-relative before scoring. A change set\nthat is **not established** (`null` — no pre-code baseline) or **established but empty** (`[]` — no\nfiles changed) refuses BEFORE any dispatch, under one decline kind `scope-not-established` (never a\nsilent fallback to `--uncommitted` on the shared tree); a failed scope-repo build or a receipt\nmismatch refuse the same way. Knob: `args.qeIsolatedScope` (default `true`) — `false` restores the\nprior `--uncommitted`-on-the-shared-tree behavior byte-for-byte, with a log line saying so. Scopes\n`commit`/`base` are unaffected.\n\n**Fix round 1 hardening (Codex r1 review, 2026-09-17), briefly:** the scope-repo path is validated by\nPATH SEGMENT (`<repo>/features/<slug>/.fa-state/review-scope`, `<slug>` alphanumeric, no `.`/`..`\nsegment anywhere), not by a lexical prefix/substring check — a `..`-laced path can no longer walk the\none destructive `rm -rf` outside `features/`; the script itself repeats the check at runtime (symlink\n+ `case` guard) as a second belt. A base-ref probe that fails or returns something unparseable now\nREFUSES under `base-ref-not-established` instead of silently substituting `HEAD` — a bad ref used to\nmake Codex review a full-file addition instead of the real modification. The receipt is now a CONTENT\ncheck, not just a pathname list: the scope-build script also emits a `sha256sum` of every working\nfile, compared against the same pre-measured hashes mode B already computes, so a `cp` that silently\ndegraded to a deletion (an unreadable file, one that vanished mid-copy) is caught even though the\npathname-only receipt would have passed; a genuine `cp` failure now aborts the build rather than being\nread as an intentional deletion. The porcelain receipt parser reads a fixed two-character status\ncolumn (`--no-renames` on the git status call, so a rename can never arrive as the ambiguous\n`old -> new` shape). A declared path is never trimmed and rejects only what the receipt genuinely\ncannot express (control characters, `\"`, `\\`, backtick, `$`, non-ASCII, a leading `-`) — spaces and\nshell metacharacters are accepted, because every value already passes through the same safe quoting\nfunction used everywhere else in this file.\n\n**Named limit of the isolated scope (owner-facing, so it reads as a boundary, not a defect):** the\nscope-repo review is BLIND to everything outside the declared change set, by construction — that is\nthe whole point (it is why the shared-tree run above timed out reviewing unrelated dirty packages).\nA finding phrased as *\"file X does not exist\"* or *\"the twin file is missing\"* from mode A is therefore\nan artifact of that intentional narrowness, not a real defect: the twin/sibling file is simply not\ncopied into the scope repo. Context that spans beyond the declared files is covered by mode B (which\nis told exactly which files it may open) and by the separate Claude QE pass, never by mode A alone.\n\nAfter a Codex verdict a cheap Claude agent transcribes it into `08_qe_report.md` (mode A takes no\nprompt, so the reviewer cannot be asked to write anything). It is a scribe, not a second reviewer: the\ngrade is Codex's and is stated as final.\n\n**Precedence:** `args.models[stage]` wins; the legacy `planner`/`coder`/`qeReviewer`/`codexModel` knobs\nfill only unspecified stages. `codexModel` seeds the id for a bare `'codex'` spec. gpt-5.6-ready: a new\nCodex id is a data-only allowlist edit.\n\n```js\n// Claude writes the code; Codex independently QEs it (cross-model by construction):\nWorkflow({ scriptPath: '.claude/workflows/feature-adr.js',\n  args: { slug: 'add-oauth', description: '…', tier: 'L',\n          models: { code: 'opus', qe: 'codex:gpt-5.6:high', architecture: 'opus', router: 'fable' } } })\n```\n\n### Usage-adaptive routing — pre-emptive Codex switch at ≥ 70% Claude usage\n\nThe `codex-fallback` knobs above are **reactive** — they catch a stage *after* it dies on a limit. At\ntrue exhaustion even the fallback dispatch can die, so the pipeline also switches **pre-emptively**:\nwhen model routing is opted into, it probes Claude **SESSION** (fixed-length transcript block) and\n**WEEKLY** (fixed reset anchor such as `Wed 08:59`) usage at each phase boundary via `dz usage --json`\n(from `@dzhechkov/harness-cli`), and moves the\nremaining stages to Codex **before** hitting the wall.\n\n| Knob (`args.*`) | Default | Effect |\n|---|---|---|\n| `usageAdaptive` | `true` when routing is requested; `false` otherwise | `true` forces it on by itself; `false` disables all probes (byte-identical to no-routing runs) |\n| `usageThreshold` | `70` | the `>=` percent (SESSION **or** WEEKLY) that triggers the switch |\n| `usageReasoning` | built-in map | per-stage reasoning under the override (design/code/plan → `xhigh`; router/qe/fleet → `high`) |\n\n**Two-way, hysteretic, fail-safe:**\n\n- `>= usageThreshold` on **either** metric ⇒ ALL remaining stages switch to `codex:<top>`.\n- Both metrics back below (positive numbers, not nulls) ⇒ the normal model mix is **restored**.\n- A probe whose agent **dies** (often *means* the limit was hit) fail-safe-switches to Codex; a\n  value-null (limits not configured) flips nothing — no flapping, no false switches.\n- A reactive belt remains: a stage agent returning null while not overridden also flips the switch for\n  the *remaining* stages.\n\n**Observability:** switched stages carry ` (usage-switched)` in `modelsUsed`; results include\n`usageEvents` (`[{phase, sessionPct, weeklyPct, action}]`, action ∈\n`switch|restore|keep|fail-safe-switch|reactive-switch|none`) and `usageThreshold`.\n\n**Config (optional):** percentages are local-transcript **estimates**; claude.ai/settings/usage is\nauthoritative. They stay `null` — and never trigger a switch — until you set your plan's limits in\n`.dz/config.json`. When `weeklyTokenLimitByModel` is configured, `weeklyPct` is the binding per-model\nweekly estimate; otherwise it is the all-model weekly estimate.\n\n```json\n{\n  \"memory\": {\n    \"usage\": {\n      \"sessionTokenLimit\": 200000000,\n      \"weeklyTokenLimit\": 1000000000,\n      \"weeklyResetAnchor\": \"Wed 08:59\",\n      \"sessionBlockHours\": 5,\n      \"weeklyTokenLimitByModel\": { \"fable\": 500000000 }\n    }\n  }\n}\n```\n\n```js\n// Claude codes until usage crosses 70%, then every remaining stage runs on Codex until it drops back:\nWorkflow({ scriptPath: '.claude/workflows/feature-adr.js',\n  args: { slug: 'add-oauth', description: '…', tier: 'L',\n          models: { code: 'opus' }, usageAdaptive: true, usageThreshold: 70 } })\n```\n\n> Note: under the override, coder **and** QE both run on Codex — the cross-model self-QE guard is\n> consciously suspended (a Claude QE reviewer is exactly the agent that dies under limit pressure). The\n> ` (usage-switched)` suffix + `usageEvents` keep it auditable — and since v1.3.65 the suspension is a\n> **machine debt**, not a note: the run writes `features/<slug>/.fa-state/reqe-due.json` (idempotent,\n> run-stamped, crash-resume-safe) and returns `reqeDue: true`; after limits reset, `dz usage` shows a\n> `re-QE due:` line, `dz reqe --slug <s>` prints the cross-family review brief, and\n> `dz reqe --slug <s> --done --report <f>` settles FAIL-CLOSED — only against an existing graded\n> report, never the run's own 08_qe_report.md (real-path and inode compared). RU: «перепроверь другой\n> семьёй потом» стало долгом на диске с полным жизненным циклом.\n\n---\n\n## Spec-Driven Development (SDD)\n\nFeature ADR is a **spec-driven** pipeline. The point is not to write documentation — it's to make\nthe **specification the executable contract** that drives the code, and to keep the agent from ever\nskipping ahead to implementation before the spec is agreed. Three ideas make that real.\n\n### 1. The artifacts *are* the spec — one layered document, built top-down\n\nEach phase emits a spec artifact at a different altitude. Together they form a single, traceable\nspecification chain from intent to verified code:\n\n| Artifact | Spec layer | Answers |\n|----------|-----------|---------|\n| `00_complexity_assessment.md` | **Scope spec** | How big is this? Which phases are even needed? |\n| `01_requirements.md` | **Behavioral spec** | What must be true when we're done? (SMART, testable) |\n| `02_research.md` | **Prior-art spec** | What patterns/analogues constrain the design? |\n| `03_adr/00N-*.md` | **Decision spec** | Which option, and *why* — with ≥2 alternatives + trade-offs |\n| `03.5_ideation_report.md` | **Quality-risk spec** | HTSM/SFDIPOT risks + a GO / CONDITIONAL / NO-GO verdict |\n| `04_domain_model.md` | **Domain spec** | Entities, aggregates, invariants (DDD) |\n| `05_architecture.md` + `diagrams/` | **Structural spec** | C4 + sequence diagrams; components & contracts |\n| `06_implementation_plan.md` | **Task spec** | SPARC-GOAP milestones — the plan the code must follow |\n| `07_code_changes/` | **The implementation** | Code in the repo + a `change_manifest.md` |\n| `08_qe_report.md` / `09_fleet_qe_assessment.md` | **Conformance spec** | Does the code satisfy the spec? Traceability + gaps |\n\nThe spec is **version-controlled** (numbered files under `features/<slug>/`) and reviewable in a\npull request exactly like code. Code is **Step 7** — the second-to-last thing that happens.\n\n### 2. The spec is a typed contract carried forward — not prose that gets ignored\n\nEach phase's output becomes a **cross-phase variable** that downstream phases *consume as input*, so\na later phase can't silently contradict an earlier decision — it's building on a fixed upstream spec:\n\n```\n{REQUIREMENTS} → {RESEARCH_FINDINGS} → {ADR_DECISIONS} → {IDEATION_VERDICT}/{QUALITY_RISKS}\n             → {DOMAIN_MODEL} → {ARCHITECTURE} → {IMPL_PLAN} → {CODE_CHANGES} → {QE_RESULTS}\n```\n\ne.g. Step 5 (Architecture) *requires* `{ADR_DECISIONS}` as input — \"architecture without an ADR\"\nis a blocked anti-pattern. Step 7 (Code) consumes `{IMPL_PLAN}`; \"code without a plan\" is blocked.\n\n### 3. Every spec layer is *gated* — machine-checkable + human-approved\n\nTwo gates guard the boundary between phases, so the spec is enforced, not aspirational:\n\n- **Promise tags** — each phase must emit a completion token before the next may start:\n  `FEATURE_ADR_ROUTED → …_REQUIREMENTS_GATHERED → …_DESIGNED → …_QUALITY_ASSESSED → …_ARCHITECTED\n  → …_PLANNED → …_IMPLEMENTED → …_VERIFIED → …_FLEET_VERIFIED`. A missing/`_INCOMPLETE` promise\n  halts the pipeline.\n- **Checkpoints** — after each phase the agent stops and shows you the artifact for approval\n  (`\"ок\"` → next, `\"углуби X\"` → elaborate, free text → adjust). **You co-author and freeze the\n  spec** one layer at a time; the agent never runs a 30-file feature unattended.\n\n### 4. The loop closes — code is verified *against* the spec\n\nThis is what separates SDD from \"write a design doc, then wing it.\" The QE phases trace the\nimplementation **back to the specification**:\n\n- **`qe-requirements-validation`** builds a traceability matrix (`01_requirements.md` ⇄ code ⇄ tests).\n- **Gap-detection loop** in Step 8 must close with **zero remaining gaps** — every requirement is\n  covered or the pipeline blocks.\n- For L/XL, **Step 9 Fleet QE** adds risk-based, regression, integration and coverage checks and\n  emits `COMPLETE` or `NEEDS_REMEDIATION`.\n\nSo a requirement that never got implemented, or code that satisfies no requirement, is caught by a\ngate — not discovered in production.\n\n### SDD principle → how Feature ADR implements it\n\n| SDD principle | In this pipeline |\n|---------------|------------------|\n| Spec before code | Steps 0–6 produce specs; code is Step 7 |\n| Executable / enforced spec | Cross-phase variables + promise-tag gates + zero-gap QE loop |\n| Decisions are first-class | ADRs with ≥2 alternatives + trade-offs (`03_adr/`) |\n| Human stays in control | A checkpoint after every phase; NO-GO verdict blocks |\n| Spec ⇄ code traceability | Requirements-validation matrix + gap loop (Steps 8–9) |\n| Right-sized ceremony | Complexity Router: S-tier skips ADR/DDD/architecture entirely |\n| Spec is a durable asset | Numbered, versioned artifacts in `features/<slug>/`, PR-reviewable |\n\n> **Tip for teams:** treat `features/<slug>/` as the deliverable of the *design* PR, merged and\n> reviewed **before** the implementation PR. The ADRs and architecture diagrams become your living\n> documentation; the QE report is your acceptance evidence.\n\n---\n\n## Complexity Tiers\n\n| Tier | Scope | Active Steps | Time Budget |\n|------|-------|-------------|-------------|\n| **S** | 1-3 files, 1 domain | 0→1→6→7→8 | ~15 min |\n| **M** | 4-10 files, 1-2 domains | 0→1→3→3.5→5→6→7→8 | ~45 min |\n| **L** | 11-30 files, 2-4 domains | Full pipeline with parallelism | ~2 hours |\n| **XL** | 30+ files, cross-cutting | Full DAG + multi-agent swarm | ~4+ hours |\n\n### Complexity Dimensions (scored 1-4 each)\n\n| Dimension | 1 (Low) | 4 (High) |\n|-----------|---------|----------|\n| Files affected | 1-3 | 30+ |\n| Domain breadth | Single module | Cross-cutting concerns |\n| Integration points | 0-1 external | 4+ external systems |\n| Risk / reversibility | Easily reverted | Data migration required |\n| Novelty | Well-known pattern | No prior art in codebase |\n| Stakeholder count | Solo developer | 4+ teams affected |\n\n---\n\n## Pipeline Steps\n\n| Step | Name | Tiers | Model | Fable? | Agentic QE Skill | Output |\n|------|------|-------|-------|:------:|------------------|--------|\n| 0 | Complexity Router | All | haiku | ✅ | — | `00_complexity_assessment.md` |\n| 1 | Requirements | All | sonnet | ✅ | — | `01_requirements.md` |\n| 2 | Research | L/XL | sonnet | ✅ | — | `02_research.md` |\n| 3 | ADR + Shift-Left | M+ | opus | ⚠️ | shift-left-testing | `03_adr/001-*.md` |\n| 3.5 | QCSD Ideation Swarm | M+ | sonnet | ✅ | qcsd-ideation-swarm | `03.5_ideation_report.md` |\n| 4 | DDD | L/XL | opus | ⚠️ | — | `04_domain_model.md` |\n| 5 | Architecture | M+ | opus | ⚠️ | — | `05_architecture.md` + diagrams |\n| 6 | SPARC-GOAP Plan | All | sonnet | ✅ | code-goal-planner | `06_implementation_plan.md` |\n| 7 | Code | All | opus | ⚠️ | tdd-london-chicago* | `07_code_changes/` |\n| 8 | QE + Brutal Honesty | All | sonnet | ✅ | brutal-honesty-review | `08_qe_report.md` |\n| 9 | Fleet QE | L/XL | sonnet | ⚠️ | 5 skills (4 agents) | `09_fleet_qe_assessment.md` |\n\n*\\* Extended skills (marked with \\*) are only available with `--full-qe-extended`*\n\n### Step 0 is architecture- & project-aware (opt-in, zero-config when absent)\n\nBeyond classifying the tier, **Step 0 now aligns the feature to your product and folds in project-specific\nskills** — both are fully opt-in and a run with neither file present is byte-identical to before.\n\n**Architecture сverka** (needs `dz` ≥ 0.3.111 + an `architecture/` map in the repo). Step 0 runs\n`dz architecture --check` against your product map + vision and surfaces the verdict in the checkpoint:\n```bash\n# author these two committed files once:\n#   architecture/subsystems.manifest.json   — the product's subsystems (the 5 jobs + foundation/arsenal/ops)\n#   architecture/vision.md                    — what the product is, where it goes, what it must NOT do\ndz architecture              # see the map\ndz architecture --check --slug <slug> --desc \"<what you're building>\" --cmd <new,cmds>\n```\n```\n⛔ block (confidence 0.90) — duplicate-command: \"recall\" already exists in subsystem \"learn\". Confirm this is intentional.\n```\nA `block` (a hard-stop, e.g. re-adding an existing command) is surfaced for your confirmation — it never\nauto-aborts. At the end of a complete run the map is refreshed (`architecture/map.json`) so the next feature's\nсverka sees this one.\n\n**Project-skill polymorphism** (needs `dz` ≥ 0.3.112). If the repo ships `architecture/project-skills.json`,\nStep 0 resolves it and folds each declared skill into its stage as **guidance** — so a generic pipeline\nbecomes project-aware without editing the workflow:\n```json\n{ \"version\": 1,\n  \"roles\": { \"product-vision\": \"architecture/vision.md\", \"critic\": \".dz-skills/my-critic/SKILL.md\" },\n  \"extra\": [ { \"skill\": \".dz-skills/security-checklist/SKILL.md\", \"phase\": \"qe\", \"as\": \"guidance\" } ] }\n```\nFixed roles map to fixed stages (`product-vision`→design+QE, `critic`→QE, `brand`→code, `impl-bar`→code); the\nopen `extra` list adds guidance to any stage. `dz project-skills` prints the who-injected report. Absent ⇒ a\nnormal generic run. (See `dz mr-rakes --gen-critic` to auto-generate the `critic` skill from your recurring rakes.)\n\n**Bundled role-default skills (backend-service defaults; principles portable).** This pack ships four\ndepersonalized quality skills you can point the roles at — all calibrated by your `architecture/vision.md`\n(build it with `dz feature-adr-setup`), so they carry your project's reality, not a vendor's. The examples\nassume a backend-service stack (async web / RDB / JWT-JWKS / k8s); the *principles* are portable — translate\nthe examples for a different stack:\n\n- **`code-critic`** — an independent code-quality reviewer (god-object growth, security invariants, anti-pattern\n  detection by intent, honest severity, \"low precision costs more than low recall\"). Point the **`critic`** role\n  at it: `\"roles\": { \"critic\": \".claude/skills/code-critic/SKILL.md\" }`.\n- **`code-impl`** — the implementer's quality bar (top-5 hard rules, god-object rule, reuse-map discipline,\n  security invariants, decision discipline, done-ness). Point the **`impl-bar`** role at it.\n- **`system-grill`** — a Socratic architecture-intuition trainer (predict-before-reveal, honest 🔴/🟡/🟢 journal)\n  that generates its curriculum from your `architecture/subsystems.manifest.json` + `map.json` + `vision.md` —\n  for a product person to *feel* the system before briefing an agent. Trigger: \"погоняй меня по системе\".\n- **`code-skills-creator`** — a meta-factory that *produces* a project-tuned `code-impl` + `code-critic` pair.\n  It starts from the two generic bases above and specializes them with your project's own evidence —\n  `dz mr-rakes` recurring code rakes (primary) or a parallel-critic audit (fallback), your god-object freeze\n  table and reuse-map — then generalizes every rake to a *class* of defect (never a bug-list linter). Writes\n  the pair to `architecture/project-{impl,critic}/SKILL.md` (augment-never-clobber). With no evidence it hands\n  back the generic pair unchanged rather than invent mistakes. Trigger: \"build a quality bar pair\".\n\n### Adversarial plan-gate at the L/XL checkpoint (needs `dz` ≥ 0.3.117)\n\nCross-model QE (Step 8) catches problems *after* the code is written. At the **checkpoint-after-plan** the\npipeline now also runs an adversarial **challenge panel** on the plan itself — a FRESH reviewer that did **not**\nwrite the plan tries to BREAK it across a fixed C1-C8 owner-question set (arch-anti-cement, prod-ready, test\nsufficiency + honesty, overengineering, silent decisions, runtime consistency, scope, executability):\n\n- **Panel ≠ plan author** (hard invariant): if Claude wrote the plan the adversary is Codex (honest `codex exec`,\n  never a fire-and-forget stub); if Codex wrote it the adversary is a fresh Claude. An unknown family never\n  silently claims cross-family.\n- **Every P0/P1 is cross-validated** by a second independent agent, matched by index (never by title), and the\n  non-validated ones are dropped — theory never reaches you. If the validator can't cover them, they are\n  surfaced **UNVALIDATED**, never silently dropped.\n- **Advisory** — the verdict returns as `challengeVerdict` alongside the ADR + plan; it **never auto-blocks**.\n- Calibrated by `architecture/vision.md` + `testing.md` + `map.json` + `architecture/degradations.md` (a\n  deviation from a pattern registered in the degradations file is **not** flagged). Run it ad-hoc with\n  `dz challenge --plan <plan.md>` or the `challenge-panel` skill; scaffold the degradations registry via\n  `dz feature-adr-setup --from-spec <spec with {\"degradations\":true}> --apply`.\n\n### ADR quality review + Confirmation file gate (Step 3 generates → Step 8 checks)\n\nStep 3 and Step 8 share an ADR best-practices contract distilled from the\n[architecture-decision-record monograph](https://github.com/architecture-decision-record/architecture-decision-record):\n\n- **Step 3** emits a **MADR-structured** ADR — invariant core (Title/Status/Context/Decision/Consequences),\n  ranked **Decision Drivers**, **Considered Options** (the chosen approach framed as an option alongside the\n  rejected ones, symmetric pros/cons), **Rationale** mapped to drivers, negative consequences + follow-up\n  links + after-action review, a **`## Confirmation`** stanza (method, monitoring, success metric, owner)\n  naming the load-bearing property, and a **`## Links`** traceability block. Template weight is tier-mapped:\n  S/M → Nygard/ITD-lightweight, L/XL → MADR + Confirmation.\n- **Step 8** runs a **13-point advisory ADR fitness checklist** (`qe-code-reviewer`) against every generated ADR —\n  decision-shaped title, controlled-vocabulary Status + reversibility,\n  neutral Context-before-Decision, symmetric options, driver-mapped rationale, concrete/testable decision,\n  negative consequences, traceability links, no placeholder, and **rejects explainer-masquerading-as-ADR**.\n  Those judgment-based items remain findings; they do not independently force the workflow verdict.\n- The **one mandatory gate** runs after Step 7.5 and before the QE verdict: every test-file path named\n  under an ADR heading beginning with `## Confirmation` must exist as a readable regular file. Missing\n  files or unreadable/unparseable paths force a non-passing Step-8 grade while the independent QE review\n  still runs. A feature with no ADR prints `пропущено: ADR нет, проверять нечего` and is not failed.\n  `dz discrimination-check` and `dz mutation-gate` remain advisory: existence does not prove that a test\n  actually discriminates the load-bearing property.\n\nThe pipeline **dog-foods** this: a harness test runs the gate against feature-adr's own generated ADR, so a\nStep-3↔Step-8 drift fails CI rather than shipping.\n\n### Amendments are mini-ADRs + the 🚦 Gates line (v1.3.58)\n\nThree additions derived from a real post-release incident analysis (a pipeline shipped slices whose defects\nonly a *full* post-push review caught), organized by one principle — the **cost-of-detection ladder**: every\ncheck lives on the cheapest layer that reliably holds it (deterministic test > always-loaded file > pipeline\ngate > reviewer judgment > memory). A miss usually means a check lived one layer too weak.\n\n- **Amendment Confirmation discipline.** Corrections folded into a run (a Step-3.5 CONDITIONAL condition, a\n  challenge-panel confirmed finding, a user checkpoint steer) were historically the least-tested part of the\n  pipeline — prose deltas with no proving test. Now every amendment is a **mini-ADR** in a `## Amendments`\n  section with a fixed, lintable shape:\n  ```\n  AM-N (qcsd|challenge-panel|user-steer): <change>. Confirmation: <property> → test `test_name` (fails if reverted).\n  ```\n  Step 8 verifies each named test **exists** and is **non-vacuous** — amendment tests join the ADR property\n  test in the same `dz discrimination-check` run (a test that stays green at pre-feature base proves\n  nothing). A *safeguard* amendment needs a test proving it actually **fires** on a real input, not just\n  that its code path exists. No `## Amendments` section ⇒ the gate skips silently (zero cost).\n- **The `🚦 Gates:` line.** Every checkpoint banner (and the workflow's return objects) carries a gate map\n  **derived from machine state** — artifact existence, JSON verdicts, test results — never from what the\n  orchestrator remembers. `✓` passed · `✗` failed · `not-run` pending · `—` N/A. The line doesn't make a\n  gate run; it makes NOT running one loud.\n- **I/O-on-pure-path rule.** A change that adds I/O (DB/network/file) to a previously-pure path — above all\n  startup/lifespan/health — must carry a **negative resource-down test** (broken resource → the declared\n  degradation contract: fail-open for advisory, fail-fast for load-bearing), and Step 8 hunts the\n  **fixture-swap smell**: replacing a broken fixture with a healthy one silently deletes the negative\n  control that proved the path was I/O-free. The bundled role-default skills gained the matching entries\n  (`code-impl` P25, `code-critic` AP14).\n\n- **No-stubs gate** (backlog 0b403a0106103901, Karpathy-Michaels rule XI). Step 8 greps the files THE RUN\n  touched for unfinished-stub markers — `TODO` / `FIXME` / `HACK` / `XXX` / `PLACEHOLDER` (case-sensitive,\n  word-bounded: `hackathon`/`todos` never fire) plus the `implement later` phrase — **any unwaived match =\n  the task shipped incomplete** (HIGH gap naming file:line). A line may carry an inline\n  `no-stubs: <reason>` waiver; a waiver **without** a reason is itself a HIGH gap, never an exemption. The\n  same scan runs mechanically at publish time as the SOFT `no-stubs` rule in `dz guard check --op publish`\n  (change-set scoped — a deliberate design: a tree-wide scan measured ~78% ancient-marker noise). Markers\n  quoted in the QE report are backticked so the report itself scans clean.\n\nBoth forms carry all of it: the interactive skill (step modules + banner template) and the deterministic\nworkflow (stage prompts + derived `gates` in its returns) — same shapes, same vocabulary.\n\n### Step 10 — Delivery Gate (opt-in, v1.3.60)\n\nStep 8 reviews the code as the coder's counterpart; **Step 10 reviews the feature as a PUBLISHED entity** —\nthe landed diff, its docs, its claims. Four orthogonal planes run in parallel on the **cross-family of the\ncoder** (regressions ‖ security ‖ code-quality ‖ **product-honesty** — the plane Step 8 lacks: fabricated\ncompleteness, features that do less than their description, misleading degradation text), every BLOCKER/HIGH\nis cross-validated **by index**, and the result is a machine-checkable hand-off verdict in\n`10_delivery_review.md` (`ready` ⇔ 0 BLOCKER + 0 unwaived HIGH).\n\n```js\nWorkflow({ scriptPath: '.claude/workflows/feature-adr.js',\n  args: { slug, description, tier: 'L', deliveryGate: true, stopAfter: 'none' } })  // L/XL: without stopAfter:'none'\n// the run pauses at the plan checkpoint first (re-invoke to implement + gate). models.delivery tunes the\n// CLAUDE plane model; codex planes are unsupported in v1 (data-returning stage — the wrapper stubs).\n```\n\nExtensibility guarantees (deliberate): **strictly opt-in** — no `deliveryGate`/`models.delivery` ⇒\nbyte-identical, zero agents, no artifact; **zero VCS-host specifics** — no merge-request/CI API calls; an\nMR-flow project's extra criteria (`CI terminal`, `draft→ready`) are document rows the owner fills;\n**advisory** — `hand-off: blocked` is a report, nothing auto-aborts, findings are NEVER auto-posted\nanywhere. Honest v1 caveats: the cross-family guarantee holds for a CODEX-coded run (Claude planes); a\nClaude-coded run gets same-family planes with `crossFamily: false` recorded loudly; the promise tag\n`FEATURE_ADR_DELIVERY_GATED` is emitted only when `10_delivery_review.md` actually landed. The `🚦 Gates:`\nline gains `delivery ready|blocked|errored|n/a`.\n\n**Deterministic project guards (P3, needs `dz` ≥ 0.3.232).** The lowest rung of the same ladder:\n`dz feature-adr-setup --guards --apply` scaffolds `architecture/guards/guards.config.json` + a\n**zero-dependency** `check.mjs` runner into YOUR project (any stack with Node) — loc-cap (god-object guard,\n`--loc-cap <n>`, default 700), secret-scan, frozen-file sha256 pins; every waiver requires a reason (a\nreasonless waiver is itself a violation). Wire `node architecture/guards/check.mjs` into CI and the rules a\nreviewer \"might notice\" become deterministic tests that run on every future slice.\n\n### The `Model` / `Fable?` columns — read this before swapping models\n\nThe `Model` column is the **default recommendation, fully overridable** — the routing rule is\n\"phase difficulty → model tier\": a fast tier for classification, a mid tier (`sonnet`) for\nstructured drafting / QE synthesis, a top tier (`opus`) for load-bearing judgment.\n\nThe **`Fable?`** column flags where switching to **Fable** is low-risk to try:\n\n- **✅ Fable-friendly** — drafting / classification / synthesis phases that are **gated by a\n  checkpoint and cheap to redo** (0 Router, 1 Requirements, 2 Research, 3.5 Ideation, 6 Plan,\n  8 QE draft). If Fable holds quality here, you gain speed/cost with a human gate right after.\n- **⚠️ Validate first** — **load-bearing reasoning** phases where a wrong call cascades downstream\n  (3 ADR decisions, 4 DDD, 5 Architecture, 7 Code, 9 Fleet QE). Keep the `opus`/`sonnet` default\n  unless you've A/B-validated Fable on your codebase.\n\n> **How to decide with data, not vibes:** install with `--with-learning` and run 2–3 features with\n> Fable on the ✅ steps; compare the reward patterns / rework counts against your `sonnet` baseline.\n> The pipeline's own reward tracker tells you where Fable is safe. This table is a **starting\n> heuristic**, not a benchmark — tune per project.\n\n---\n\n## Output Structure\n\n```\nfeatures/<feature-slug>/\n├── 00_complexity_assessment.md     ← Always\n├── 01_requirements.md              ← Always\n├── 02_research.md                  ← L/XL only\n├── 03_adr/\n│   └── 001-<decision-slug>.md      ← M+ only\n├── 03.5_ideation_report.md         ← M+ only\n├── 04_domain_model.md              ← L/XL only\n├── 05_architecture.md              ← M+ only\n├── 06_implementation_plan.md       ← Always\n├── 07_code_changes/\n│   └── change_manifest.md          ← Always\n├── 08_qe_report.md                 ← Always\n├── 09_fleet_qe_assessment.md       ← L/XL only\n├── diagrams/                       ← M+ only\n│   ├── architecture-c4.mermaid\n│   └── sequence-*.mermaid\n└── README.md                       ← Always\n```\n\n---\n\n## Agentic QE Integration\n\nFeature ADR integrates 15 skills from [agentic-qe](https://github.com/proffesor-for-testing/agentic-qe) for quality engineering at every step.\n\n### Three Modes\n\n| Mode | Flag | Skills | Requires |\n|------|------|--------|----------|\n| **Reference** | (none) | 9 core (condensed copies) | Nothing — works out of the box |\n| **Direct** | `--full-qe` | 9 core (full protocols) | [agentic-qe](https://github.com/proffesor-for-testing/agentic-qe) installed |\n| **Direct Extended** | `--full-qe-extended` | 15 (9 core + 6 extended) | [agentic-qe](https://github.com/proffesor-for-testing/agentic-qe) installed |\n\n### Installing agentic-qe (required for `--full-qe` and `--full-qe-extended`)\n\n```bash\n# 1. Install agentic-qe globally\nnpm install -g agentic-qe\n\n# 2. Initialize in your project (auto-detects tech stack, configures MCP)\ncd your-project && aqe init --auto\n```\n\nSource: [github.com/proffesor-for-testing/agentic-qe](https://github.com/proffesor-for-testing/agentic-qe)\n\nAfter installation, feature-adr auto-detects agentic-qe when you use the `--full-qe` or `--full-qe-extended` flags. If agentic-qe is not found, the pipeline falls back to Reference Mode with a warning.\n\n### Core Skills (9, all modes)\n\n| Skill | Step | Purpose |\n|-------|------|---------|\n| shift-left-testing | 3 | ADR testability validation |\n| qcsd-ideation-swarm | 3.5 | HTSM + SFDIPOT quality swarm |\n| code-goal-planner | 6 | SPARC-GOAP milestone planning |\n| brutal-honesty-review | 8 | Linus/Ramsay/Bach code review |\n| qe-requirements-validation | 9 | Traceability matrix + SMART |\n| risk-based-testing | 9 | Probability×Impact 5×5 scoring |\n| enterprise-integration-testing | 9 | Contract testing + E2E flows |\n| regression-testing | 9 | Change-based test selection |\n| qe-coverage-analysis | 9 | Risk-weighted coverage |\n\n### Extended Skills (6, `--full-qe-extended` only)\n\n| Skill | Step | Condition |\n|-------|------|-----------|\n| tdd-london-chicago | 7 | Always |\n| mutation-testing | 8 | If test suite exists |\n| security-testing | 8, 9 | `HAS_AUTH` / `HAS_EXTERNAL_API` |\n| performance-testing | 8, 9 | `HAS_PERFORMANCE_SLA` |\n| chaos-engineering-resilience | 9 | `HAS_INFRASTRUCTURE_CHANGE` |\n| qcsd-production-swarm | Post-9 | Advisory feedback loops |\n\n---\n\n## Optional Features: Learning & Knowledge Extraction\n\nFeature ADR can be extended with reward learning and knowledge extraction — no additional packages required.\n\n### `--with-learning` — Reward Learning\n\nAdds the Memory Protocol and Reward Tracker. The pipeline **learns from your feedback** at every checkpoint:\n- Stores reward scores based on your responses (immediate approval = 1.0, minor adjustments = 0.7, rework = 0.3)\n- Loads historical patterns at the start of each step\n- Detects domain-specific bottlenecks and skill effectiveness trends\n\n```bash\nnpx @dzhechkov/skills-feature-adr init --with-learning\n```\n\n**Installs:** `lib/memory-protocol.md`, `lib/reward-tracker.md`, `.claude/rules/reward-learning.md`\n\n### `--knowledge-extractor` — Knowledge Harvesting\n\nAdds the Knowledge Extractor skill with the `/harvest` command. After completing a feature, extract reusable patterns:\n\n```bash\nnpx @dzhechkov/skills-feature-adr init --knowledge-extractor\n\n# After completing a feature:\n/harvest features/<feature-slug>/\n```\n\n**Installs:** `.claude/skills/knowledge-extractor/` (5 agents, 7 categories, 8 quality gates), `.claude/commands/harvest.md`\n\n### Both at once\n\n```bash\nnpx @dzhechkov/skills-feature-adr init --with-learning --knowledge-extractor\n```\n\n### Already using `@dzhechkov/keysarium`?\n\n> **If you have `@dzhechkov/keysarium` installed, these flags are not needed.**\n> Keysarium already includes reward learning, knowledge extraction, and more.\n> The installer auto-detects keysarium and skips optional components to avoid duplication.\n\n---\n\n## Self-Learning Layers\n\nThere are **three independent self-learning systems** that can sit under a Feature ADR run.\n`--full-qe-extended` does **not** turn on learning by itself — it controls QE depth. Learning is a\nseparate concern — though in Direct modes the pipeline now adds explicit touchpoints into layer B\n(Step 0 pattern recall, Steps 8/9 outcome store — see the skill's \"Pattern memory loop\" section). The three layers do **not conflict**: each is isolated by its own\nstorage path, its own learning signal, and its own consumer.\n\n| La","readmeFilename":"README.md"}