Skill audit report
Install and configure the generic and optional Effect anti-slop Oxlint plugins in a local TypeScript or JavaScript repository. Use whenever a user asks to add anti-slop lint rules, copy the anti-slop plugin, configure opinionated Oxlint rules, or migrate an existing local anti-slop setup.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
4.0K GitHub stars
Stars/forks activity
INFO77
4.0K stars, 87 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
8d 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, database surface
Install availability
PASS92
npx skills add dmmulroy/anti-slop --skill install-anti-slop
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN50
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/dmmulroy/anti-slop/tree/main/skills/install-anti-slop
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add dmmulroy/anti-slop --skill install-anti-slop
Repository
88
https://github.com/dmmulroy/anti-slop/tree/main/skills/install-anti-slop
License
86
MIT
Maintenance
100
8d since push
AI review
55
The install.mjs script is not visible in the provided excerpt, so its exact behavior cannot be verified. However, the skill's instructions are explicit and safe, and the script is part of a well-maintained repository.
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
command execution surface, database surface
Install command safety
92
standard package or runtime install path
Permission surface
50
shell or command execution, filesystem or document access
Stars/forks activity
77
4.0K stars, 87 forks; issue activity unavailable in current metadata
Adoption
88
4.0K 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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