Laporan audit skill

agentsop-domain-eval-set Laporan audit.

Build and govern a 50-200 example domain-specific held-out benchmark sampled from real traffic. Distinct from public benchmarks (MMLU/HumanEval/GSM8K via lm-evaluation-harness) which measure GENERAL capability. Only a held-out domain set predicts whether THIS system works on YOUR data. Collect real examples, label, hold out (never train/prompt on it), size 50-200, version it, refresh on drift.

Eksperimental · TinjauPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
79
Audit
77
Kepercayaan
69
Kualitas
83
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

77
Shortlist kuat

Trust Score OpenAgentSkill

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

Adopsi GitHub

Info

62

357 star GitHub

Aktivitas star/fork

Peringatan

57

357 star dan 19 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

Lulus

90

Tidak ada petunjuk risiko dependensi besar dalam metadata publik

Ketersediaan pemasangan

Lulus

92

npx skills add agentsope/SkillAlchemy --skill agentsop-domain-eval-set

Keamanan perintah pemasangan

Info

68

dynamic command execution, standard package or runtime install path

Cakupan izin

Info

74

filesystem or document access, database access

Bukti repositori

Lulus

86

https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsop-domain-eval-set

Status peninjauan

Lulus

88

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

7 Lulus · 8 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add agentsope/SkillAlchemy --skill agentsop-domain-eval-set

Repositori

88

Lulus

https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsop-domain-eval-set

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

88

Lulus

Approved with no listed issues

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

90

Lulus

Tidak ada petunjuk risiko dependensi besar dalam metadata publik

Keamanan perintah pemasangan

68

Periksa

dynamic command execution, standard package or runtime install path

Cakupan izin

74

Periksa

filesystem or document access, database access

Aktivitas star/fork

57

Perbaiki

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

Adopsi

68

Info

357 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

  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Stars/forks activity: 357 stars, 19 forks; issue activity unavailable in current metadata

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.

Bandingkan opsi sekitar

Skill terkait untuk diaudit berikutnya