Laporan audit skill
audit Laporan audit.
Whole-repo audits in eight modes. Codebase — merged structural + correctness audit, should this exist AND does it do what it promises. Triggers "nuclear review", "code judo", "whole codebase review", "should this exist", "adversarial audit", "fable audit", "correctness audit", "expectation gaps". Docs/Process — doc drift, walkable journeys. Triggers "audit the docs", "doc drift", "process audit", "walk the journeys". Performance — measured-only perf audit; no finding without a number. Triggers "perf audit", "performance audit", "why is it slow", "bundle audit", "build is slow". Threat-model — abuse paths. Triggers "threat model", "STRIDE", "attack surface". Motion — animation audit. Triggers "motion audit", "audit the animations". SEO — discoverability + AEO. Triggers "seo audit", "aeo", "answer engine", "llms.txt", "rank better". Debt — `SHORTCUT:` ledger. Triggers "debt ledger", "shortcut ledger". Owns bare "audit the codebase"; single-page CWV fix loops go to /lighthouse.
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
Peringatan48
42 star GitHub
Aktivitas star/fork
Peringatan43
42 star dan 3 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
2 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Peringatan56
command execution surface, network or browser surface
Ketersediaan pemasangan
Lulus92
npx skills add darkroomengineering/cc-settings --skill audit
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Gagal36
shell or command execution, filesystem or document access
Bukti repositori
Lulus86
https://github.com/darkroomengineering/cc-settings/tree/main/skills/audit
Status peninjauan
Info66
Data tinjauan AI tersedia
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add darkroomengineering/cc-settings --skill audit
Repositori
88
https://github.com/darkroomengineering/cc-settings/tree/main/skills/audit
Lisensi
86
MIT
Pemeliharaan
88
2 bulan sejak push
Tinjauan AI
55
The skill references an external script `codex-run.ts` (via `bun "$HOME/.claude/src/scripts/codex-run.ts"`) that is not part of the skill repository. This creates a dependency on the user's environment and could be a portability concern if the script is missing or modified.
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
56
command execution surface, network or browser surface
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
36
shell or command execution, filesystem or document access
Aktivitas star/fork
43
42 star dan 3 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
42
42 star GitHub
Peringatan
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The skill references an external script `codex-run.ts` (via `bun "$HOME/.claude/src/scripts/codex-run.ts"`) that is not part of the skill repository. This creates a dependency on the user's environment and could be a portability concern if the script is missing or modified.
- The `requires: mcp: context7` field in the frontmatter may be interpreted as a hard requirement, but the skill text clarifies it is optional and only used when configured. This could cause confusion for users without the MCP.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 42 GitHub stars
- Stars/forks activity: 42 stars, 3 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, network or browser surface
- Permission surface: shell or command execution, filesystem or document access
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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