{
  "schema_version": "2026-05-28",
  "library_name": "AI Agent Blind-Spot Review Proof Library",
  "status": "backtest_open",
  "index": "../proof_library/INDEX.md",
  "pages_dir": "../proof_library/pages",
  "queue": "../proof_library/backtest_queue.csv",
  "validator": "../../src/validate_proof_library.py",
  "purpose": "Autonomously produce and curate public or anonymized teardown examples that demonstrate recurring AI-agent blind spots without relying on private client intake.",
  "accepted_sources": [
    "public agent architecture posts",
    "public repositories",
    "public product documentation",
    "public incident reports",
    "public startup or product plans",
    "user-submitted anonymized artifacts"
  ],
  "source_rules": [
    "Use public or permissioned material only.",
    "Do not include confidential data.",
    "Do not name private submitters unless explicitly allowed.",
    "Preserve source links and observation dates.",
    "Separate observed facts, diagnostics, and hypotheses."
  ],
  "entry_schema": {
    "entry_id": "string",
    "title": "string",
    "source_type": "public | anonymized_submission",
    "source_urls": "string[]",
    "observation_date": "YYYY-MM-DD",
    "artifact_type": "agent_generated_plan | agent_workflow | execution_trace | market_route | architecture_sketch | multi_agent_role_setup",
    "verdict": "pass | downgrade | rework | stop",
    "blind_spot_classes": "string[]",
    "failure_map": "object",
    "failure_point": "string",
    "autonomy_assessment": "object",
    "contract_field_findings": "object",
    "next_allowed_action": "string",
    "do_not_do": "string[]",
    "public_page": "string",
    "publication_status": "draft | reviewed | published | rejected"
  },
  "publication_gates": [
    "public-source check",
    "no-confidential-data check",
    "public-surface terminology check",
    "semantic-density check",
    "source-specific evidence check",
    "sentinel spot-check before publishing high-impact claims"
  ],
  "monetization_modes": [
    {
      "mode": "free_public_samples",
      "purpose": "Trust, SEO, agent discovery, and calibration."
    },
    {
      "mode": "paid_pattern_database",
      "purpose": "Subscription or account-balance access to structured blind-spot patterns and benchmark entries."
    },
    {
      "mode": "m2m_pattern_feed",
      "purpose": "Machine-readable risk pattern feed for agent platforms and AI operations systems."
    }
  ],
  "quality_metrics": [
    "source_specificity",
    "novel_failure_mode",
    "evidence_density",
    "actionability",
    "non_generic_language",
    "route_continuity_clarity"
  ]
}