Skill audit report
Design guidance for any HTML/Markdown file shown in octo's Artifacts panel — reports, dashboards, architecture/system diagrams, generated UIs, slide-style pages, 3D scenes. Read this BEFORE writing the file, not after — it calibrates how much design effort the request warrants and covers the panel's real constraints (the page runs on its own origin and can reference files beside it, external resources gated to an allowlist of CDN hosts, narrow default width, no live theme push). Use when the user asks to "画架构图" / "generate a diagram" / "make a dashboard" / "produce a report page" / "visualize this as a page" / build any artifact meant to be looked at rather than edited. If the page contains a chart, graph, plot, heatmap, or stat tile, also read references/charts.md — chart-type selection, color systems, legend/axis/tooltip conventions.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
99 GitHub stars
Stars/forks activity
WARN48
99 stars, 22 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
6d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
WARN54
credential or environment access, external package install surface
Install availability
PASS92
npx skills add open-octo/octo-agent --skill artifact-design
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/open-octo/octo-agent/tree/main/internal/skills/defaults/artifact-design
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add open-octo/octo-agent --skill artifact-design
Repository
88
https://github.com/open-octo/octo-agent/tree/main/internal/skills/defaults/artifact-design
License
86
MIT
Maintenance
100
6d since push
AI review
55
Review approval is missing
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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Usable description available
Dependency risk
54
credential or environment access, external package install 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
48
99 stars, 22 forks; issue activity unavailable in current metadata
Adoption
68
99 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.