Laporan audit skill
final-method-explainer Laporan audit.
Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence.
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopsi GitHub
Info76
695 star GitHub
Aktivitas star/fork
Info65
695 star dan 31 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
2 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Info76
Metadata publik memerlukan konteks README/SKILL.md yang lebih kuat
Risiko dependensi/runtime
Lulus82
database surface
Ketersediaan pemasangan
Lulus92
npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Lulus88
Akses database
Bukti repositori
Lulus86
https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/final-method-explainer
Status peninjauan
Lulus88
Data tinjauan AI tersedia
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Repositori
88
https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/final-method-explainer
Lisensi
86
MIT
Pemeliharaan
88
2 bulan sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
84
Usable description available
Risiko dependensi
82
database surface
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
88
Akses database
Aktivitas star/fork
65
695 star dan 31 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
88
695 star GitHub
Peringatan
- Quality score needs review
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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