Laporan audit skill

agent-observability Laporan audit.

Instrumentation technique d'un agent IA — tracing distribué des appels LLM et outils, spans, métriques custom, corrélation de logs et dashboards de supervision. Pour les alertes et garde-fous de production, voir agent-monitoring-setup. Se déclenche avec "observabilité agent", "tracing agent", "LangSmith", "Langfuse", "OpenTelemetry agent", "spans LLM", "corréler les logs agent". Also triggers on "trace my agent", "LLM tracing", "agent spans".

Diblokir · BlokirPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
68
Audit
59
Kepercayaan
57
Kualitas
69
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

59
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Gagal

30

22 star GitHub

Aktivitas star/fork

Gagal

32

22 star dan 7 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

2 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

Gagal

36

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add khalilbenaz/claude-skills-collection --skill agent-observability

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

36

secrets or environment access, shell or command execution

Bukti repositori

Lulus

86

https://github.com/khalilbenaz/claude-skills-collection/tree/main/agent-skills/agent-observability

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

6 Lulus · 16 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add khalilbenaz/claude-skills-collection --skill agent-observability

Repositori

88

Lulus

https://github.com/khalilbenaz/claude-skills-collection/tree/main/agent-skills/agent-observability

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

2 bulan sejak push

Tinjauan AI

55

Periksa

Code snippets are illustrative and not fully runnable as-is (e.g., missing imports like Resource, undefined client object).

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

36

Perbaiki

command execution surface, credential or environment access

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

36

Perbaiki

secrets or environment access, shell or command execution

Aktivitas star/fork

32

Perbaiki

22 star dan 7 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

42

Periksa

22 star GitHub

Peringatan

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Code snippets are illustrative and not fully runnable as-is (e.g., missing imports like Resource, undefined client object).
  • The skill is written in French, which may limit accessibility for non-French speakers, though the description includes English triggers.
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 22 GitHub stars
  • Stars/forks activity: 22 stars, 7 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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