Laporan audit skill
ai-assist-prototype Laporan audit.
Build self-contained, double-click-to-open HTML prototypes so the user can vet an interface before it gets built. One file holds several structurally different variants of a page, app screen, component, flow, or terminal/TUI layout (rendered in-browser), plus a draggable Design Deck for flipping between variants, tuning fonts, colors, spacing, shape, motion and 'feel' with live dials, trying vibe presets, checking viewport sizes and light/dark, pinning comments on elements, and an 'Export to LLM' button that copies the chosen variant and every dial value as a handoff block to paste back to the agent. Use this whenever the user wants to prototype, mock up, wireframe, explore options for, or sanity-check a UI (landing page, dashboard, settings page, onboarding, form, mobile screen, component, CLI/TUI layout), or says 'what should this look like', 'show me a few options', 'let me tweak it before we build', 'vet the design'. Also use it when the user pastes a block starting with 'AI-ASSIST
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
88 star GitHub
Aktivitas star/fork
Peringatan48
88 star dan 12 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus100
Diperbarui hari ini
Kejelasan lisensi
Peringatan42
Tidak diketahui
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Gagal36
command execution surface, credential or environment access
Ketersediaan pemasangan
Lulus92
npx skills add jparkerweb/ai-assist-skills --skill ai-assist-prototype
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Gagal18
secrets or environment access, shell or command execution
Bukti repositori
Lulus86
https://github.com/jparkerweb/ai-assist-skills/tree/main/skills/ai-assist-prototype
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 jparkerweb/ai-assist-skills --skill ai-assist-prototype
Repositori
88
https://github.com/jparkerweb/ai-assist-skills/tree/main/skills/ai-assist-prototype
Lisensi
45
Tidak diketahui
Pemeliharaan
100
Diperbarui hari ini
Tinjauan AI
55
Repository license is unknown (GitHub detected 'Unknown'), which creates legal ambiguity for users and contributors.
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
36
command execution surface, credential or environment access
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
18
secrets or environment access, shell or command execution
Aktivitas star/fork
48
88 star dan 12 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
88 star GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Peringatan
- Lisensi tidak jelas
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- Repository license is unknown (GitHub detected 'Unknown'), which creates legal ambiguity for users and contributors.
- The skill relies on a local build script (scripts/build-prototype.mjs) that is not reviewed here; its behavior should be audited to ensure it does not introduce security risks (e.g., path traversal, arbitrary code execution).
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 88 GitHub stars
- Stars/forks activity: 88 stars, 12 forks; issue activity unavailable in current metadata
- License clarity: Unknown
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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