Laporan audit skill

agent-observability-experiment-analyzer Laporan audit.

Analyze LLM experiment results. Handles single or comparative experiments, exploratory or Q&A modes. Use when user says "analyze experiment", "compare experiments", "analyze against baseline", or provides one or two experiment IDs for analysis.

Diblokir · BlokirPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
72
Audit
65
Kepercayaan
66
Kualitas
71
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

65
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

158 star GitHub

Aktivitas star/fork

Peringatan

57

158 star dan 25 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

Peringatan

46

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add datadog-labs/agent-skills --skill agent-observability-experiment-analyzer

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/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-experiment-analyzer

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 datadog-labs/agent-skills --skill agent-observability-experiment-analyzer

Repositori

88

Lulus

https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-experiment-analyzer

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

2 bulan sejak push

Tinjauan AI

55

Periksa

The SKILL.md excerpt does not include the Tool Reference appendix, which is referenced as being at the bottom of the file. Ensure it is present in the full document to avoid missing translation mappings for pup mode.

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

158 star dan 25 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

68

Info

158 star GitHub

Financial decision safety

58

Periksa

Research-only use: do not treat output as financial advice or execute a position without human approval.

Peringatan

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • The SKILL.md excerpt does not include the Tool Reference appendix, which is referenced as being at the bottom of the file. Ensure it is present in the full document to avoid missing translation mappings for pup mode.
  • The skill depends on external tools (MCP server or pup CLI) that may not be available in all environments. The detection logic handles this gracefully, but the skill could benefit from a note about required setup or permissions.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 158 stars, 25 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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