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Skillsaw Lint

Community
stbenjam
skillsaw-lint

Use when modifying agentic contextual building blocks like skills (SKILL.md), slash commands, agents, hooks, plugins, marketplaces, and instruction files (CLAUDE.md, AGENTS.md, GEMINI.md, QWEN.md, Cursor, Copilot, Cline, or Kiro rules), tool configuration such as an OpenCode `opencode.json`, Muse Code hooks (`.muse/hooks.json`), a Grok Build `.grok/` project layer or a Google Antigravity customization root (`.agents/`, `.agent/`, `_agents/`, `_agent/` — hooks, MCP config, rules, registries and plugins), and committed project memory (`.agents/memory/`). Run skillsaw on the files you touched, apply autofixes, resolve remaining violations with `skillsaw explain` guidance, and re-lint until clean before considering the work complete.

Overview

Publisherstbenjam
Repositoryskillsaw
Skill nameskillsaw-lint
Stars
69
Forks
15
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by stbenjam on GitHub. Read the source before you install it.

Installation

Install the Skillsaw Lint AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/stbenjam/skillsaw/tree/main/.agents/skills/skillsaw-lint
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/stbenjam/skillsaw.git /tmp/skillsaw
mkdir -p .claude/skills
cp -r /tmp/skillsaw/.agents/skills/skillsaw-lint .claude/skills/skillsaw-lint
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skillsaw Lint in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skillsaw Lint on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skillsaw Lint is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

skillsaw Lint

You just authored or edited agentic context — a skill, slash command, agent, hook, plugin, marketplace, or instruction file (CLAUDE.md, AGENTS.md, GEMINI.md, Cursor/Copilot/Cline/Kiro rules), or the configuration that loads it (an OpenCode opencode.json). That content feeds an agent's context window, and defects in it — weak language, contradictions, placeholder text, instructions buried in attention dead zones — degrade every future session that loads it. Lint it with skillsaw and improve it before you report the work as done.

Run the skillsaw CLI for every step below; it is the interface for linting, fixing, and explaining — replace any hand-rolled check with it.

Step 1: Locate skillsaw

Run skillsaw --version. If the command is missing, check the project for a pinned version before installing — look in the Makefile, pyproject.toml, or an existing .venv (e.g. .venv/bin/skillsaw --version). Use that version with uvx skillsaw==<version> as the prefix for every command below (or pip install skillsaw==<version> if uvx is unavailable).

Step 2: Lint what you wrote

Run the linter scoped to the files or directories you created or edited:

sh
skillsaw lint <path>

Read each violation line: it carries the severity, file path, line number, message, and rule ID. If the repository defines its own lint entry point (a Makefile lint target that runs skillsaw, for example), run that instead — it may pin a version or pass flags like --strict.

If the lint exits 0 with no violations, your work is clean — stop here and report done.

Step 3: Apply deterministic autofixes

sh
skillsaw fix <path>

This applies safe, structural fixes (missing frontmatter, kebab-case names, and similar). Run skillsaw fix --dry-run first to inspect the diff before anything is written. Run skillsaw fix --suggest for a second tier of mechanically derived fixes (stale-reference updates after a rename, for example) — review each hunk in that tier before applying it.

Step 4: Resolve the remaining violations

For each rule ID still reported, load its guidance:

sh
skillsaw explain <rule-id>

Read the rule's rationale and its "How to fix" section, then apply that guidance with a targeted edit. Change only the text that triggers the violation and keep the meaning you intended when you wrote it. Do not guess a fix from the violation message alone; run skillsaw explain and follow its guidance.

Step 5: Re-lint until clean

Re-run skillsaw lint <path> after your edits and repeat Steps 3–4 until it exits 0. Then run skillsaw from the repository root to confirm your changes introduced no violations elsewhere. The lint output ends with a letter grade for the repository's agentic content — leave it the same or better than you found it.

When to escalate

  • Many violations across many files: hand off to the skillsaw-fix skill, which runs a deeper inventory, fix, and verify loop across a whole repository.
  • A violation that needs a decision only the user can make (two contradictory instructions, a reference that looks stale but is intentional): present it to the user with your recommendation instead of inventing an answer.

Frequently asked questions

What does the Skillsaw Lint AI skill do?

Use when modifying agentic contextual building blocks like skills (SKILL.md), slash commands, agents, hooks, plugins, marketplaces, and instruction files (CLAUDE.md, AGENTS.md, GEMINI.md, QWEN.md, Cursor, Copilot, Cline, or Kiro rules), tool configuration such as an OpenCode `opencode.json`, Muse Code hooks (`.muse/hooks.json`), a Grok Build `.grok/` project layer or a Google Antigravity customization root (`.agents/`, `.agent/`, `_agents/`, `_agent/` — hooks, MCP config, rules, registries and plugins), and committed project memory (`.agents/memory/`). Run skillsaw on the files you touched,...

Why use Skillsaw Lint on TypingMind?

Because you install it once and use it with any model. Skillsaw Lint is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skillsaw Lint in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/stbenjam/skillsaw/tree/main/.agents/skills/skillsaw-lint. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Skillsaw Lint?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skillsaw Lint?

As many as you like. As long as a model supports skills, you can use Skillsaw Lint with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skillsaw Lint AI skill free?

Yes. It is published on GitHub by stbenjam under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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