Laporan audit skill

loopy Laporan audit.

Discover, find, compare, audit, repair, adapt, craft, run, debrief, save, and prepare repeatable AI-agent loops for publication. Use when a user asks to analyze code or coding threads for recurring work, find a published loop, interview them to turn a goal into a bounded loop, review a loop for weak checks or unsafe authority, execute a loop with an evidence receipt, learn from completed runs, save or reuse a project loop, or validate and submit a loop to Loop Library.

Diblokir · BlokirPerlu ditinjauDihasilkan 12 Okt 2026Audit metadata heuristik
77
Audit
74
Kepercayaan
74
Kualitas
72
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

74
Shortlist kuat

Trust Score OpenAgentSkill

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

Adopsi GitHub

Lulus

86

3.1K star GitHub

Aktivitas star/fork

Lulus

83

3.1K star dan 276 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

1 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 Forward-Future/loopy --skill loopy

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

24

secrets or environment access, shell or command execution

Bukti repositori

Lulus

86

https://github.com/Forward-Future/loopy/tree/main/skills/loopy

Status peninjauan

Peringatan

46

Persetujuan tinjauan AI belum ada

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

8 Lulus · 11 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add Forward-Future/loopy --skill loopy

Repositori

88

Lulus

https://github.com/Forward-Future/loopy/tree/main/skills/loopy

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

Review approval is missing

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

24

Perbaiki

secrets or environment access, shell or command execution

Aktivitas star/fork

83

Lulus

3.1K star dan 276 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

88

Lulus

3.1K star GitHub

Peringatan

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Persetujuan tinjauan AI belum ada
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • Review status: AI review approval is missing

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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