Laporan audit skill
Mastermind Laporan audit.
A collection of Markdown rules that equip AI coding assistants with sharp defaults, engineering judgment, and self-checking discipline.
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
Gagal30
12 star GitHub
Aktivitas star/fork
Gagal32
12 star dan 2 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
1 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus90
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Lulus90
Tidak ada petunjuk risiko dependensi besar dalam metadata publik
Ketersediaan pemasangan
Lulus92
npx skills add mehrad-dm/mastermind
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Lulus100
Tidak ada cakupan izin berisiko tinggi dalam metadata publik
Bukti repositori
Lulus86
https://github.com/mehrad-dm/mastermind
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 mehrad-dm/mastermind
Repositori
88
https://github.com/mehrad-dm/mastermind
Lisensi
86
MIT
Pemeliharaan
88
1 bulan sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
90
Usable description available
Risiko dependensi
90
Tidak ada petunjuk risiko dependensi besar dalam metadata publik
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
100
Tidak ada cakupan izin berisiko tinggi dalam metadata publik
Aktivitas star/fork
32
12 star dan 2 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
42
12 star GitHub
Financial decision safety
58
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
- Low GitHub adoption signal
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- GitHub adoption: 12 GitHub stars
- Stars/forks activity: 12 stars, 2 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
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
169K Star · Laporan audit
Grill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
165K Star · Laporan audit
To Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
165K Star · Laporan audit