Skill audit report
Use to produce the canonical screen manifest for a UI feature — every screen in every state (default / loading / empty / error / success / validation), with reuse-first component picks — written to docs/features/{slug}/screens.md between api and tasks. Draws per the design-system tool: Figma MCP into the canon file, Pencil MCP into screens.pen, or inline markdown wireframes (code mode — also the degradation when an MCP is unavailable). Triggers on "screens for {slug}", "screen states for {slug}", "draw the screens", "mockups for {slug}", "/sdd:screens {slug}", "екрани для {slug}", "стани екранів {slug}", "намалюй екрани". States derive from §5 ACs + sad.md §6 branches + contract error responses; tasks/implement/review read ONLY the manifest. Hard-refuse if sad.md is missing; skipped when target_surfaces declares no UI surface.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
119 GitHub stars
Stars/forks activity
WARN57
119 stars, 46 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
20d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add genkovich/sdd --skill screens
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN46
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/genkovich/sdd/tree/main/skills/screens
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add genkovich/sdd --skill screens
Repository
88
https://github.com/genkovich/sdd/tree/main/skills/screens
License
86
MIT
Maintenance
100
20d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Warnings
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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Dependency risk
64
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
46
secrets or environment access, filesystem or document access
Stars/forks activity
57
119 stars, 46 forks; issue activity unavailable in current metadata
Adoption
68
119 GitHub stars
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.
Secrets or environment access
highSkill metadata references credentials, tokens, environment variables, or secret-bearing workflows.