Diagnose agent operational failures through default-policy checks, multi-gap analysis, explicit service ownership, request-context lifetime, and degradation-versus-correctness checks.
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Audit agent runtimes and their tests for lifecycle inference, capability overload, context pollution, correlated verification, prompt-only control, false success, dead compatibility paths, test-only seams, and complexity without contribution. Use for whole-repository agent audits, slop or dead-code triage, test contribution reviews, large refactors, tool/context simplification, and cleanup requests that need proof before deleting code or tests.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Treat a static hit as a candidate, never as a finding. Prove the failure mechanism, affected consumer, and safe correction before changing code.
Read references/field-guide.md before triage. It defines the source grades, six anti-pattern families, false-positive boundaries, finding record, and deletion gate.
KEEP, SHRINK, DELETE, MEASURE, or DEFER.
Stop for review before a whole-repository audit edits production or tests.| Verdict | Meaning |
|---|---|
KEEP | A named behavior, safety, evidence, compatibility, or operational consumer justifies the surface. |
SHRINK | The contract is real, but a wrapper, branch, payload, capability, or test can be narrowed. |
DELETE | The complete deletion gate passes and no contribution remains. |
MEASURE | A suspected problem has a falsifiable hypothesis but insufficient evidence. |
DEFER | The problem is real but ownership, migration, dependency, or approval blocks safe change. |
Use the repository's existing surfaces when present:
.geode/skills/slop-audit/SKILL.md and scripts/slop_audit.py for
discovery-only heuristics;.claude/skills/codebase-audit/SKILL.md for general refactor workflow;.claude/skills/anti-deception-checklist/SKILL.md after every cleanup diff;Do not copy their instructions into this skill. Their results remain separate authorities because they scan different scopes and definitions.
MEASURE or DEFER when evidence is incomplete.Report:
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Diagnose agent operational failures through default-policy checks, multi-gap analysis, explicit service ownership, request-context lifetime, and degradation-versus-correctness checks.
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Align, run, audit, and publish GEODE benchmark comparisons against Agent-World arXiv 2604.18292v1 across MCP-Mark, BFCL V4, and tau2-bench. Use for Agent-World or AgentWorld comparison requests, cross-suite agent benchmark design, Tau2 comparator/profile diagnosis, paired thin-runtime-versus-GEODE experiments, mean-accuracy@8 replication, or benchmark comparability and artifact reviews.
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Verification checklist to prevent fake success. Detects test deletion/disabling, coverage regression, lint bypass, secret exposure. Triggered by "deception", "fake" ("가짜"), "fake success", "verification" ("검증"), "checklist" ("체크리스트"), "deletion detection" ("삭제 탐지"), "regression" keywords.
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Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications for better maintainability.
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Auto-search and summarize latest AI/agent papers.
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Content-addressed baseline-archive epoch partitioning. Partition baseline_archive.jsonl + the self-improving hub's baseline serving by a HASH of the full baseline-production+measurement spec — when the spec (margin_rule, fitness/margin logic version, the 4 roles' model+source, rubric/dim-set, bench, seed-pool identity) changes, the hash changes → a new epoch series (like seed-gen gen-*). Triggered by "baseline epoch", "baseline 아카이빙", "epoch partition", "spec hash", "content-addressed", "margin_rule namespace", "production logic 구분", "baseline 하위 서빙" keywords.
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