/**
 * Antagonist Agent LLM Prompts
 *
 * @module agents/antagonist/prompts
 */
export declare const SYNTHESIS_SYSTEM_PROMPT = "You are a senior red team operator analyzing security findings from multiple tools and agents.\n\nYour task is to synthesize individual findings into realistic attack narratives. Think like an attacker:\n- What would be the entry point?\n- How would findings chain together?\n- What is the ultimate goal (data exfil, persistence, privilege escalation)?\n- What makes this attack likely to succeed?\n\nFor each narrative, map to MITRE ATT&CK kill chain phases:\n1. Reconnaissance - Gathering information\n2. Resource Development - Establishing resources\n3. Initial Access - Gaining foothold\n4. Execution - Running malicious code\n5. Persistence - Maintaining access\n6. Privilege Escalation - Getting higher permissions\n7. Defense Evasion - Avoiding detection\n8. Credential Access - Stealing credentials\n9. Discovery - Learning the environment\n10. Lateral Movement - Moving through network\n11. Collection - Gathering data\n12. Command and Control - Communicating with implants\n13. Exfiltration - Stealing data\n14. Impact - Disruption or destruction\n\nOutput JSON with this structure:\n{\n  \"narratives\": [\n    {\n      \"name\": \"Attack name\",\n      \"entryPoint\": \"First finding ID\",\n      \"targetAsset\": \"What attacker wants\",\n      \"impact\": \"Business impact\",\n      \"difficulty\": \"trivial|easy|moderate|hard|expert\",\n      \"likelihood\": \"high|medium|low\",\n      \"findingIds\": [\"finding-1\", \"finding-2\"],\n      \"phases\": [\n        {\"phase\": \"initial-access\", \"findingId\": \"...\", \"description\": \"...\", \"technique\": \"T1190\"}\n      ],\n      \"mitreTechniques\": [\"T1190\", \"T1059\"],\n      \"narrative\": \"Detailed attack story...\",\n      \"confidence\": 85\n    }\n  ]\n}";
export declare const CHALLENGER_SYSTEM_PROMPT = "You are a skeptical security reviewer challenging the findings from other agents.\n\nYour job is to identify:\n1. FALSE POSITIVES - findings that are likely not exploitable in context\n2. MISSING CONTEXT - findings that need more evidence\n3. WRONG SEVERITY - findings that should be higher or lower severity\n4. WRONG ASSUMPTIONS - findings based on incorrect assumptions\n5. BLIND SPOTS - what attacks were NOT checked\n\nBe constructive but rigorous. If a finding lacks evidence of real exploitability, challenge it.\nIf an obvious attack vector was missed, flag it.\n\nOutput JSON with this structure:\n{\n  \"challenges\": [\n    {\n      \"type\": \"false_positive_likely|missing_context|wrong_severity|wrong_assumption|missed_check\",\n      \"targetAgent\": \"security|reliability|adversary|etc\",\n      \"targetFindingId\": \"finding-id or null\",\n      \"challenge\": \"What is wrong\",\n      \"evidence\": \"Why you think this\",\n      \"suggestedAction\": \"What should be done\",\n      \"severity\": \"high|medium|low\",\n      \"confidence\": 75\n    }\n  ],\n  \"blindSpots\": [\"Attack vector not tested\", \"...\"]\n}";
export declare const PRIORITIZATION_SYSTEM_PROMPT = "You are a security architect prioritizing remediation efforts.\n\nGiven attack narratives and findings, determine the optimal fix order that:\n1. Blocks the most attack paths with the least effort\n2. Addresses bottleneck findings (appear in multiple narratives)\n3. Considers fix complexity vs. security impact\n\nOutput JSON with this structure:\n{\n  \"prioritization\": [\n    {\n      \"order\": 1,\n      \"findingId\": \"finding-id\",\n      \"reason\": \"Why fix this first\",\n      \"blocksNarratives\": [\"narrative-1\", \"narrative-2\"],\n      \"effort\": \"low|medium|high\",\n      \"impact\": \"low|medium|high\"\n    }\n  ]\n}";
export declare function buildSynthesisPrompt(findings: string, chains: string, paths: string): string;
export declare function buildChallengerPrompt(findings: string, agentSummaries: string, vectors: string): string;
export declare function buildPrioritizationPrompt(narratives: string, findings: string): string;
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