Skill audit report
Set up local development linting by picking the right linters for each file type a project uses, then recording them as required pre-commit checks in AGENTS.md / CLAUDE.md and a `make lint` target. Uses the super-linter project as the live source of truth for which linters are current and popular per language. Use this skill whenever the user wants to add, choose, configure, or standardize linters for local development; asks "what linter should I use for X"; wants the agent to lint files before committing; sets up AGENTS.md/CLAUDE.md linting rules; or mentions super-linter, linting setup, pre-commit linting, or keeping linters up to date. This is for LOCAL developer/agent linting, not for authoring CI workflows.
OpenAgentSkill Trust Score
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, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
20d since push
License clarity
PASS86
MIT
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 BretFisher/skills --skill super-linting
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/BretFisher/skills/tree/main/skills/super-linting
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add BretFisher/skills --skill super-linting
Repository
88
https://github.com/BretFisher/skills/tree/main/skills/super-linting
License
86
MIT
Maintenance
100
20d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
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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Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
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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
48
shell or command execution, filesystem or document access
Stars/forks activity
32
20 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
20 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.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
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.