Rapport d’audit du skill
blue-team Rapport d’audit.
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.
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adoption GitHub
Info62
163 stars GitHub
Activité stars/forks
Avertissement57
163 stars et 19 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Info76
4 mois depuis le dernier push
Clarté de licence
Validé86
MIT
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Avertissement46
command execution surface, credential or environment access
Disponibilité de l’installation
Validé92
npx skills add gaasher/Agent-Loop-Skills --skill blue-team
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Échoué22
secrets or environment access, shell or command execution
Preuve du dépôt
Validé86
https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/blue-team
État de revue
Info66
Données de revue IA disponibles
Résultats prouvés par Agent
Info54
Pas encore de données de résultats Agent
Vérifications
Revue d’installation et d’adoption
Chemin d’installation
92
npx skills add gaasher/Agent-Loop-Skills --skill blue-team
Dépôt
88
https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/blue-team
Licence
86
MIT
Maintenance
76
4 mois depuis le dernier push
Revue IA
55
The skill relies on user-provided commands (oracle_cmd, test_cmd) which could be misconfigured, but this is expected and not a security flaw.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
46
command execution surface, credential or environment access
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
22
secrets or environment access, shell or command execution
Activité stars/forks
57
163 stars et 19 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
163 stars GitHub
Avertissements
- 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
Méthode
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.
Comparer les options proches
Skills associés à auditer ensuite
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K Stars · Rapport d’audit
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
64K Stars · Rapport d’audit
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38K Stars · Rapport d’audit