Skill audit report
ai-assist-prototype Audit report.
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
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
88 GitHub stars
Stars/forks activity
WARN48
88 stars, 12 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
Pushed today
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
FAIL36
command execution surface, credential or environment access
Install availability
PASS92
npx skills add jparkerweb/ai-assist-skills --skill ai-assist-prototype
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL18
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/jparkerweb/ai-assist-skills/tree/main/skills/ai-assist-prototype
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add jparkerweb/ai-assist-skills --skill ai-assist-prototype
Repository
88
https://github.com/jparkerweb/ai-assist-skills/tree/main/skills/ai-assist-prototype
License
45
Unknown
Maintenance
100
Pushed today
AI review
55
Repository license is unknown (GitHub detected 'Unknown'), which creates legal ambiguity for users and contributors.
README/SKILL.md completeness
86
Usable description available
Dependency risk
36
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
18
secrets or environment access, shell or command execution
Stars/forks activity
48
88 stars, 12 forks; issue activity unavailable in current metadata
Adoption
68
88 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
- License is unclear
- 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
Method
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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