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adversarial-auditorlisted

Adversarial auditor that red-teams technical plans, asserts fail-closed factual provenance, decomposes cognitive token spend, and prevents premature completion.
CardSorting/LUMI-JOY · ★ 2 · AI & Automation · score 77
Install: claude install-skill CardSorting/LUMI-JOY
# Adversarial Auditor Skill Deep forensic and adversarial scrutiny skill distilled from the BroccoliDB compaction learnings and Osmosis methodology. ## 📋 Operational Protocol 1. **Plan Red-Teaming (`adversarial_scrutinize_plan`)**: - Inspect proposed architecture against 5 vulnerability vectors (verification omission, rollback gap, ungrounded metrics, context amnesia, edge case absence). - Reject fail-closed any plan lacking concrete test commands or safety boundaries. 2. **Provenance Grounding Verification (`adversarial_audit_provenance`)**: - Verify that all numbers, claims, and conclusions have character-level or semantic grounding in source evidence. - Reject synthetic placeholders (`TBD`, `TODO_LATER`, mocked numbers). 3. **Cognitive Spend Decomposition (`adversarial_decompose_spend`)**: - Separate compressible fluff (conversational filler, nested quotes, redundant whitespace) from irreducible task invariants. - Target >35% token reduction on bloated prompts. 4. **Completion Receipt Validation (`adversarial_verify_completion`)**: - Inspect stdout receipts from compiler and test suites. - Fail closed if receipts are missing, simulated-only, or contain error indicators. ## 🛡️ Invariants - Zero subshell execution overhead (<0.1 ms in-memory assertions). - Fail-closed gate enforcement.