skillsaw: Skill for Claude Code

.agents/skills/skillsaw-create-plugin/SKILL.md

skillsaw-create-plugin is a skill for Claude Code from stbenjam/skillsaw. It costs 68 tokens per session (1,994 once invoked), scanned A, original, Apache-2.0.

A workflow for creating a skillsaw plugin, which is a Python package that adds custom checks to the skillsaw linter. The plugin can be installed with pip so the rules can be reused across repositories.

In plain words
What is it for?
Use it to plan rule behaviour, scaffold the package, write checks against skillsaw’s lint tree, test them, and publish the plugin to PyPI, Python’s package registry.
Why use it?
It helps package shared lint rules in one installable project instead of copying custom rule files into each repository.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions Claude Code; installed under .agents/ (shared by several agents).

This is stbenjam/skillsaw's own configuration. It tells Claude Code how to work on skillsaw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything skillsaw configures →

Part of the skillsaw plugin — 14 skills shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to stbenjam/skillsaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/stbenjam/skillsaw/main/.agents/skills/skillsaw-create-plugin/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/stbenjam/skillsaw

Made for: Claude Code.

Or install skillsaw, the plugin that ships this one along with the rest of its 14 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for skillsaw-create-plugin

README.md
[![agentmods](https://agentmods.dev/badge/skills/stbenjam/skillsaw/skillsaw-create-plugin/github.svg)](https://agentmods.dev/skills/stbenjam/skillsaw/skillsaw-create-plugin)
Your own site
<a href="https://agentmods.dev/skills/stbenjam/skillsaw/skillsaw-create-plugin"><img src="https://agentmods.dev/badge/skills/stbenjam/skillsaw/skillsaw-create-plugin/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for skillsaw-create-plugin

Your own site · 80×15
<a href="https://agentmods.dev/skills/stbenjam/skillsaw/skillsaw-create-plugin"><img src="https://agentmods.dev/badge/skills/stbenjam/skillsaw/skillsaw-create-plugin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,994 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00068 $0.01994
Opus 5 $0.00034 $0.00997
Sonnet 5 $0.00014 $0.00399
Haiku 4.5 $0.00007 $0.00199

Measured 10d ago against content hash acf43e9c135b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

skillsaw-create-plugin scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/skillsaw-create-plugin/SKILL.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

skillsaw Create Plugin

Create a skillsaw rule plugin: a Python package that adds lint rules to skillsaw. Once you build and publish to PyPI, anyone can pip install it and skillsaw picks up the rules automatically — no config required. Prefer this to per-repo custom-rules: files when sharing rules across repos.

Keep the terminology straight: a skillsaw plugin adds rules to the skillsaw linter itself. Never confuse it with the Claude Code plugins that skillsaw lints.

Review this reference material while you work:

Follow each step in order, and keep the user updated on progress at each stage.

Step 1: Gather requirements

Review the following with the user:

  1. What should each rule check? Get concrete examples of content that should pass and content that should fail.
  2. Rule IDs — use kebab-case, descriptive (e.g. no-todo-instructions). Run skillsaw list-rules and confirm no ID collides with a builtin rule or another installed plugin; skillsaw never loads colliding plugin rules.
  3. Severity — set each rule to error (must fix), warning (should fix), or info (advisory).
  4. Package name — follow the convention skillsaw-<name> on PyPI with module skillsaw_<name> (e.g. skillsaw-acme-rules / skillsaw_acme_rules).
  5. Tunable settings — set anything a user could reasonably want to adjust (patterns, thresholds, allowlists) in config_schema; never hardcode it.

Step 2: Create the package layout

Create this layout:

skillsaw-<name>/
├── pyproject.toml
├── README.md
├── src/
│   └── skillsaw_<name>/
│       ├── __init__.py
│       └── rules.py
└── tests/
    ├── fixture/
    │   └── CLAUDE.md          # realistic fixture the rules run against
    └── test_rules.py

Read the full file on GitHub · 195 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 195 lines · 68 tokens per session scan A acf43e9c135b

Subscribe to this mod's changes

skillsaw-create-plugin is a skill published in the GitHub repository stbenjam/skillsaw (63 stars, last pushed yesterday), licensed Apache-2.0. It adds 68 tokens to every session and 1,994 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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