Skill audit report
Use when setting up linting for a Go project, configuring golangci-lint, or adding Go checks to a CI/CD pipeline. Also use when starting a new Go project and deciding which linters to enable, even if the user only asks about "code quality" or "static analysis" without mentioning specific linter names. Does not cover code review process (see go-code-review).
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
156 GitHub stars
Stars/forks activity
WARN57
156 stars, 18 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
3mo since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
command execution surface, network or browser surface
Install availability
PASS92
npx skills add cxuu/golang-skills --skill go-linting
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/cxuu/golang-skills/tree/main/skills/go-linting
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add cxuu/golang-skills --skill go-linting
Repository
88
https://github.com/cxuu/golang-skills/tree/main/skills/go-linting
License
86
Apache-2.0
Maintenance
88
3mo since push
AI review
55
SKILL.md does not explicitly state that the setup-lint.sh script requires golangci-lint to be installed and available in PATH, which could cause confusion for agents.
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
command execution surface, network or browser 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
57
156 stars, 18 forks; issue activity unavailable in current metadata
Adoption
68
156 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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