Laporan audit skill

blue-team Laporan 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.

Diblokir · BlokirPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
69
Audit
63
Kepercayaan
63
Kualitas
71
Keamanan
76
Maintain
92
Pasang

Trust Score OpenAgentSkill

63
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Info

62

163 star GitHub

Aktivitas star/fork

Peringatan

57

163 star dan 19 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Info

76

4 bulan sejak push

Kejelasan lisensi

Lulus

86

MIT

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Peringatan

46

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

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

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

22

secrets or environment access, shell or command execution

Bukti repositori

Lulus

86

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

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

5 Lulus · 14 Perlu ditinjau

Jalur pemasangan

92

Lulus

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

Repositori

88

Lulus

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

Lisensi

86

Lulus

MIT

Pemeliharaan

76

Periksa

4 bulan sejak push

Tinjauan AI

55

Periksa

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

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

46

Perbaiki

command execution surface, credential or environment access

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

22

Perbaiki

secrets or environment access, shell or command execution

Aktivitas star/fork

57

Perbaiki

163 star dan 19 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

68

Info

163 star GitHub

Peringatan

  • 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

Metode

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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