{"categories":[{"label":"Testing","url":"https://skillfed.io/packages/category/software-development-testing/3"},{"label":"Quality Assurance","url":"https://skillfed.io/packages/category/software-development-quality-assurance/2"}],"enrichment":{"capability":"A linter for AI agent instruction files that detects structural errors, vague language, contradictions, security risks, and configuration problems in agent skills, plugins, and coding assistant context.","skillfed_tags":["ai-agents","linting","prompt-engineering"],"use_cases":["Catch structural errors and broken references in agent skill and plugin files before they cause agent failures.","Enforce consistent terminology and description quality across a repository of agent instructions and configurations.","Detect embedded secrets, invisible Unicode, and hidden instructions in agent context files as part of a security review.","Integrate linting into CI/CD to fail pull requests when new instruction quality violations are introduced.","Gradually adopt linting standards across an existing codebase using baselines, fixing only new violations.","Generate a grade badge and report card for a project's agent instruction quality to display in README or dashboards."],"what_it_does":"skillsaw is a linter for the configuration and instruction files that steer AI coding agents\u2014files like CLAUDE.md, AGENTS.md, Agent Skills, and plugin manifests. It treats agent instructions as code rather than prose, catching structural errors (invalid frontmatter, broken references), quality issues (vague language, contradictions, buried priorities), and security problems (embedded secrets, hidden instructions, dangerous configurations) that make agents less reliable. It understands multiple agent frameworks and plugin standards, detects repository type automatically, and can lint multiple types in the same project.\n\nThe tool runs locally, in CI pipelines, and inside agent workflows. It produces line-level findings with explanations, applies deterministic autofixes where safe, supports baselines for gradual adoption, and outputs to text, JSON, SARIF, HTML, and Code Climate formats. Rules are configurable, and teams can add local rules or install rule plugins. Every run generates a weighted grade based on violation density.","worth_installing":"Yes. skillsaw addresses a real gap: agent instructions are now critical infrastructure but lack the tooling that code has. The package is actively maintained, has low install friction, carries no security vulnerabilities, and is licensed permissively. It's in Beta but has been released for months and sees substantial monthly downloads. Install it if you maintain agent skills, plugins, or AI coding assistant context files."},"id":"skillsaw","links":{"html":"https://skillfed.io/packages/skillsaw","md":"https://skillfed.io/packages/skillsaw.md","pypi":"https://pypi.org/project/skillsaw/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-07","license_spdx":null,"license_treatment":"permissive","name":"skillsaw","python_support":"supports_current","summary":"A configurable linter for agent skills, plugins, and AI coding assistant context"},"popularity":{"monthly_downloads":574293,"position":5940,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.18.0"}