Laporan audit skill

domain-modeling Laporan audit.

Actively build and sharpen a project's domain model — challenge terms against the glossary, sharpen fuzzy language, stress-test with edge-case scenarios, update CONTEXT.md inline, and offer ADRs sparingly. The active discipline loaded by language-shaping agents (planner, doc-syncer, exploration). Builders load a read-only/obey variant: they read CONTEXT.md and obey it, emitting a proposal on contradiction rather than resolving it. See the Active vs read-only section for which mode applies.

Eksperimental · TinjauPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
75
Audit
75
Kepercayaan
58
Kualitas
79
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

75
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

164 star GitHub

Aktivitas star/fork

Peringatan

57

164 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

Info

76

Metadata publik memerlukan konteks README/SKILL.md yang lebih kuat

Risiko dependensi/runtime

Lulus

82

database surface

Ketersediaan pemasangan

Lulus

92

npx skills add romiluz13/cc10x --skill domain-modeling

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Info

74

filesystem or document access, database access

Bukti repositori

Lulus

86

https://github.com/romiluz13/cc10x/tree/main/plugins/cc10x/skills/domain-modeling

Status peninjauan

Peringatan

46

Persetujuan tinjauan AI belum ada

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

7 Lulus · 7 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add romiluz13/cc10x --skill domain-modeling

Repositori

88

Lulus

https://github.com/romiluz13/cc10x/tree/main/plugins/cc10x/skills/domain-modeling

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

2 bulan sejak push

Tinjauan AI

55

Periksa

Review approval is missing

Kelengkapan README/SKILL.md

84

Lulus

Usable description available

Risiko dependensi

82

Lulus

database surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

74

Periksa

filesystem or document access, database access

Aktivitas star/fork

57

Perbaiki

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

Adopsi

68

Info

164 star GitHub

Peringatan

  • Persetujuan tinjauan AI belum ada
  • Quality score needs review
  • Stars/forks activity: 164 stars, 25 forks; issue activity unavailable in current metadata
  • 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.

Bandingkan opsi sekitar

Skill terkait untuk diaudit berikutnya