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review that happens while your agent writes: deterministic checks on the lines it changed, quiet unless it can prove a defect, and learning from your team's fixes and dismissals. Works with Claude Code, Cursor, Codex, Cline and Windsurf.","maintainers":[{"name":"erashu212","email":"ashu.singh212@gmail.com"},{"name":"riju_01","email":"iamriju01@gmail.com"},{"name":"gprakashdev","email":"gaurav.prakashcool72@gmail.com"},{"name":"hamza.sial1911","email":"hamza.sial1911@gmail.com"}],"readme":"# @rigour-labs/cli\n\n[![npm version](https://img.shields.io/npm/v/@rigour-labs/cli?color=cyan)](https://www.npmjs.com/package/@rigour-labs/cli)\n[![npm downloads](https://img.shields.io/npm/dm/@rigour-labs/cli?color=blue)](https://www.npmjs.com/package/@rigour-labs/cli)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\n**AI Agent Governance CLI — quality gates, DLP, drift detection, and deep analysis.**\nRigour governs what goes IN (DLP), what comes OUT (quality gates), and what gets PERSISTED (memory governance).\n\n> Core gates run locally. Deep analysis can run local or cloud provider mode.\n\n## 🚀 Quick Start\n\n```bash\nnpx @rigour-labs/cli scan     # Zero-config scan (auto-detect stack)\nnpx @rigour-labs/cli init     # Initialize config, hooks, DLP, governance\nnpx @rigour-labs/cli check    # Verify code quality (27+ gates)\nnpx @rigour-labs/cli run -- claude \"Build feature X\"  # Agent loop\n```\n\n## 🍺 Homebrew\n\n```bash\nbrew tap rigour-labs/tap\nbrew install rigour\n```\n\n## 🛑 The Problem\n\nAI agents are powerful but ungoverned. They claim success based on narrative, not execution. Credentials get cached in agent memory. Imports get hallucinated. Code quality drifts across sessions.\n\n**Rigour breaks this cycle** with deterministic PASS/FAIL gates, credential warnings, and memory governance — all local-first.\n\n## 🔄 How It Works\n\n```\nAgent writes code → Rigour checks → FAIL? → Fix Packet → Agent retries → PASS ✓\nDLP: User input → Credential scan → BLOCK before agent sees it\nMemory: Agent writes CLAUDE.md → Rigour intercepts → Forces rigour_remember (DLP-scanned)\n```\n\n## ⚙️ Quality Gates (27+ Deterministic)\n\n### Structural & Security Gates\n| Gate | Description |\n|:---|:---|\n| **File Size** | Max lines per file (default: 300-500) |\n| **Content Hygiene** | No TODO/FIXME comments allowed |\n| **AST Analysis** | Cyclomatic complexity, method count, nesting depth, function length |\n| **Required Docs** | SPEC.md, ARCH.md, README must exist |\n| **File Guard** | Protected paths, max files changed |\n| **Security Patterns** | XSS, SQL injection, hardcoded secrets, command injection, path traversal |\n| **Frontend Secret Exposure** | API keys in client-side bundles |\n| **Deprecated APIs** | Node, Python, Web, Go, C#, Java deprecated usage |\n| **Test Quality** | Empty tests, tautological assertions, mock-heavy, snapshot abuse |\n| **Side-Effect Safety** | Unbounded timers, recursive depth, resource lifecycle, retry loops |\n\n### AI-Native Drift Detection\n| Gate | Description |\n|:---|:---|\n| **Hallucinated Imports** | Imports referencing non-existent modules (JS/TS, Python, Go, Ruby, C#, Rust, Java, Kotlin) |\n| **Phantom APIs** | Non-existent stdlib/framework methods the LLM invented |\n| **Promise Safety** | Unhandled async, unsafe JSON.parse, floating fetch across 6 languages |\n| **Duplication Drift** | Three-pass: MD5 exact → AST Jaccard (tree-sitter) → semantic embedding (384D cosine) |\n| **Style Drift** | Naming conventions, error handling, import style fingerprinted against project baseline |\n| **Logic Drift** | Comparison operators (>= → >), branch counts, return statements tracked per function |\n| **Context Window Artifacts** | Quality degradation within long files — clean top, messy bottom |\n| **Inconsistent Error Handling** | Same error type handled differently across sessions |\n| **Dependency Bloat** | Unused deps, heavy alternatives (moment→dayjs), duplicate purpose packages |\n\n### Semantic Bugs (type-aware, on by default)\nTurn off with `semantic_bugs: { enabled: false }`. Each finding names where the risky value enters and where it does harm, across files; anything unresolved is not reported.\n\n| Rule | Description |\n|:---|:---|\n| **Credential Redirect** | A custom credential header (`x-*-token`, `*-api-key`, secret env values) on a request that follows redirects |\n| **In-Memory Aggregation** | Rows from a paged read loaded into memory only to be counted, or capped with a throwing length check |\n| **Degraded Response Cached** | A response cached with `max-age` while its body can carry a failure fallback |\n| **Learned rules** | Rules from your own fixes (`rigour learn`), stored in `.rigour/rules/` and run as `learned/<id>` |\n\n### Agent Governance\n| Gate | Description |\n|:---|:---|\n| **Memory Governance** | Blocks agent writes to CLAUDE.md, .clinerules, .windsurf/memories/ |\n| **Skills Governance** | Blocks agent writes to .claude/skills/, .cursor/rules/ |\n| **Governance DLP** | Scans content written to any governed file for credentials |\n\n### Two-Score System\nEvery failure carries a provenance tag (`ai-drift`, `traditional`, `security`, `governance`) and contributes to two sub-scores: **AI Health Score** (0–100) and **Structural Score** (0–100).\n\n## 🔒 AI Agent DLP (Data Loss Prevention)\n\nReal-time credential detection via PreToolUse hooks — warns by default before agent actions.\n\n- **29 credential patterns**: AWS, GCP, Azure, OpenAI, Anthropic, GitHub, Stripe, private keys, database URLs, JWTs, CI/CD tokens\n- **Anti-evasion**: Unicode normalization, zero-width char removal, bidi control stripping, Shannon entropy detection (>4.5 bits)\n- **Compliance mapped**: SOC2-CC6.1, HIPAA-164.312, PCI-DSS-3.4/3.5/6.5, OWASP-A2, CWE-798\n\n## 🔗 Real-Time Hooks\n\nTwo-tier supervision: inline hooks (<200ms per file write) + checkpoint suite (full gates).\n\n```bash\nrigour hooks init                    # auto-detect tool, install hooks + DLP\nrigour hooks init --tool all         # all tools at once\nrigour hooks init --block            # exit code 2 on failures (strict mode)\nrigour hooks init --no-dlp           # skip DLP hooks\nrigour hooks check --files src/a.ts  # manual fast check\n```\n\n**Supported tools:** Claude Code, Cursor, Cline, Windsurf — each with quality (post-write) and DLP (pre-write) hooks.\n\n## 🧠 Deep Analysis (LLM-Powered)\n\nFive-signal extraction → LLM interpretation → deterministic verification pipeline.\n\n```bash\nrigour check --deep                  # Local sidecar (Qwen2.5-Coder-0.5B, any CPU)\nrigour check --deep --pro            # Full model (Qwen2.5-Coder-1.5B)\nrigour check --deep --provider claude -k sk-ant-xxx  # Cloud BYOK\n```\n\nIn a scoped review, `deep.intent_checks` asks the model only whether a read in `Promise.all` is optional. It is off by default: the stock local models did not meet the zero-false-finding bar ([measurements](https://github.com/rigour-labs/rigour/blob/main/docs/DEEP_ANALYSIS.md#intent_checks-off-by-default)).\n\n## 🌐 Multi-Language Support\n\nHallucinated import detection with stdlib whitelists and dependency manifest parsing:\n\n**JS/TS** (Node.js builtins, package.json) · **Python** (160+ stdlib, local modules) · **Go** (150+ stdlib, go.mod) · **Ruby** (80+ stdlib, Gemfile) · **C#/.NET** (.NET 8 namespaces, .csproj) · **Rust** (std/core/alloc, Cargo.toml) · **Java** (java/javax/jakarta, build.gradle/pom.xml) · **Kotlin** (kotlin/kotlinx + Java interop, build.gradle.kts)\n\n## 🛠️ Commands\n\n| Command | Purpose |\n|:---|:---|\n| `rigour scan` | Zero-config stack-aware scan (auto-detect) |\n| `rigour scan --deep` | Zero-config + local LLM deep analysis |\n| `rigour init` | Setup config, hooks, DLP, governance |\n| `rigour check` | Full repository quality gates |\n| `rigour check --ci` | CI mode with minimal output |\n| `rigour check --deep` | + local LLM analysis |\n| `rigour review` | Review your uncommitted change (taken from git), findings on changed lines only |\n| `rigour review --base main` | Review a branch as a pull request; `--json`, `--github-summary` for CI |\n| `rigour learn <commit>` | Turn a fix into a validated rule (`--dry-run`, `--before/--after`, `--max-hits`) |\n| `rigour hooks init` | Install real-time hooks for detected tools |\n| `rigour hooks check --files ...` | Fast hook gates on specific files |\n| `rigour explain` | Detailed explanation of failures |\n| `rigour run` | Supervisor loop for agent refinement |\n| `rigour run --supervised` | Full supervisor mode (iterative command + gate loop) |\n| `rigour studio` | Dashboard for monitoring |\n| `rigour brain` | Local memory status (SQLite) |\n| `rigour brain --compact` | Prune old findings, reclaim disk |\n| `rigour doctor` | Diagnose install + deep readiness |\n| `rigour export-audit` | Export compliance audit report (JSON/Markdown) |\n| `rigour demo` | Live demo on synthetic or real repos |\n| `rigour settings` | Manage API keys and provider config |\n\n## 🤖 Works With\n\n- **Claude Code**: `rigour run -- claude \"...\"` + real-time hooks\n- **Cursor**: Via MCP server + `.cursor/hooks.json`\n- **Cline**: Via MCP server + `.clinerules/hooks/` scripts\n- **Windsurf**: Via MCP server + `.windsurf/hooks.json`\n- **Gemini**: Via MCP server (`rigour_check`, `rigour_explain`)\n- **GitHub Actions**: `npx @rigour-labs/cli check --ci`\n\n## 📖 Documentation\n\n**[📚 Full Documentation →](https://docs.rigour.run/)**\n\n| Quick Links | |\n|:---|:---|\n| [Getting Started](https://docs.rigour.run/getting-started) | Install and run in 60 seconds |\n| [CLI Reference](https://docs.rigour.run/cli/commands) | All commands and options |\n| [Configuration](https://docs.rigour.run/reference/configuration) | Customize quality gates |\n| [MCP Integration](https://docs.rigour.run/mcp/mcp-server) | AI agent setup |\n\n## 🧪 CI Integration\n\n```yaml\n- run: npx @rigour-labs/cli check --ci\n```\n\n## 📜 License\n\nMIT © [Rigour Labs](https://github.com/rigour-labs)\n","readmeFilename":"README.md"}