Skill audit report
Guide for authoring Pulumi ComponentResource classes. Use when creating reusable infrastructure components, designing component interfaces, setting up multi-language support, or distributing component packages.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
67 GitHub stars
Stars/forks activity
WARN43
67 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
29d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, database surface
Install availability
PASS92
npx skills add pulumi/agent-skills --skill pulumi-component
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
secrets or environment access, database access
Repository evidence
PASS86
https://github.com/pulumi/agent-skills/tree/main/pulumi/skills/pulumi-component
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add pulumi/agent-skills --skill pulumi-component
Repository
88
https://github.com/pulumi/agent-skills/tree/main/pulumi/skills/pulumi-component
License
86
Apache-2.0
Maintenance
100
29d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
credential or environment access, database surface
Install command safety
92
standard package or runtime install path
Permission surface
62
secrets or environment access, database access
Stars/forks activity
43
67 stars, 6 forks; issue activity unavailable in current metadata
Adoption
68
67 GitHub stars
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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