Skill audit report
Capture cross-project connections on the fly. Use when you notice a link between two projects — a shared pattern, a people-bridge, a narrative that feeds another project. Persists to thinking/bridges/ as structured YAML. Use when user says "bridge", "this connects to", "this feeds into", "same pattern as", or explicitly names a cross-project link.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
20 GitHub stars
Stars/forks activity
FAIL32
20 stars, 7 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
29d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add digital-stoic-org/agent-skills --skill bridge
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL36
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/digital-stoic-org/agent-skills/tree/main/content/skills/bridge
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add digital-stoic-org/agent-skills --skill bridge
Repository
88
https://github.com/digital-stoic-org/agent-skills/tree/main/content/skills/bridge
License
86
MIT
Maintenance
100
29d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
36
shell or command execution, filesystem or document access
Stars/forks activity
32
20 stars, 7 forks; issue activity unavailable in current metadata
Adoption
42
20 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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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