Skill audit report

blue-team Audit report.

Use when the user has concrete failing cases in code or a guardrail/classifier/filter/prompt/API they own — a red-team failure catalogue OR a CI/CD test-failure report (failing pytest/JUnit tests) — and wants the target patched until those failures are closed without breaking what already works. It points straight at the failed cases (normalize any source with tools/ingest.py), fixes one root-cause class per iteration, and re-checks with tools/verify.py — oracle mode against a red-team oracle, or tests mode against the test suite — keeping a patch only if it closes a class while nothing that passed before regresses, else reverting; loops until every class is closed (dry) or the budget runs out, then opens a pull request with the patch set. The defensive fixer half of a find→fix setup. Not for discovering new failures (that is red-team), and not for editing the oracle, tests, or holdout that define ground truth.

BLOCKED · BLOCKNeeds reviewGenerated Nov 5, 2026Heuristic metadata audit
69
Audit
63
Trust
63
Quality
71
Security
76
Maintain
92
Install

OpenAgentSkill Trust Score

63
Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

62

163 GitHub stars

Stars/forks activity

WARN

57

163 stars, 19 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

76

4mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

46

command execution surface, credential or environment access

Install availability

PASS

92

npx skills add gaasher/Agent-Loop-Skills --skill blue-team

Install command safety

PASS

92

standard package or runtime install path

Permission surface

FAIL

22

secrets or environment access, shell or command execution

Repository evidence

PASS

86

https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/blue-team

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

5 Passed · 14 Needs review

Install path

92

PASS

npx skills add gaasher/Agent-Loop-Skills --skill blue-team

Repository

88

PASS

https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/blue-team

License

86

PASS

MIT

Maintenance

76

CHECK

4mo since push

AI review

55

CHECK

The skill relies on user-provided commands (oracle_cmd, test_cmd) which could be misconfigured, but this is expected and not a security flaw.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

46

FIX

command execution surface, credential or environment access

Install command safety

92

PASS

standard package or runtime install path

Permission surface

22

FIX

secrets or environment access, shell or command execution

Stars/forks activity

57

FIX

163 stars, 19 forks; issue activity unavailable in current metadata

Adoption

68

INFO

163 GitHub stars

Warnings

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The skill relies on user-provided commands (oracle_cmd, test_cmd) which could be misconfigured, but this is expected and not a security flaw.
  • No explicit sandboxing or permission prompts beyond the agent's own safeguards; the skill assumes the user has granted appropriate execution rights.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 163 stars, 19 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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