Keep your skills sharp.¶
skillsaw lints the files that steer your AI coding agents: skills, plugins, instructions, and tool configs across Claude Code, Codex, Copilot, Agent Skills, OpenCode, and more. It catches security risks, structural flaws, and content dead zones with 89 rules, then applies deterministic autofixes.
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Security & Supply Chain
Supply chain protection blocks dangerous lifecycle hooks (
curl | sh,eval, arbitrary execution), prohibited MCP servers, invisible Unicode (ASCII smuggling), high-entropy encoded payloads, and unallowlisted dynamic context before they run. -
Multi-Ecosystem Structure
Schema and syntax validation across supported ecosystems: Agent Skills, Claude Code, OpenAI Codex, Agent Plugins v1, Copilot custom agents, OpenCode, Muse Code, APM, and MCP Registry.
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Deterministic Autofixes
Safe, instant autofixes via
skillsaw fix; bundled skills guide coding agents through remaining manual resolutions — see demo below. -
Context & Token Economy
Research-backed content intelligence: eliminates instruction drift, attention dead zones, cognitive overload, contradictions, and redundant tooling.
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CI-Ready & Baselines
GitHub and GitLab integration with PR comments, SARIF reporting, and baselines for gradual, zero-friction adoption.
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Extensible
Custom rules in Python, pip-installable rule plugins, and typed lint tree traversal tailor skillsaw to your repository.
Reading this with an AI agent? Fetch llms.txt for an index of the docs, or llms-full.txt for everything in one plain-markdown file.