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.
curl -O https://raw.githubusercontent.com/stbenjam/skillsaw/main/AGENTS.mdgit clone --depth 1 https://github.com/stbenjam/skillsawWrote 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.
[](https://agentmods.dev/instructions/stbenjam/skillsaw/agents-md)<a href="https://agentmods.dev/instructions/stbenjam/skillsaw/agents-md"><img src="https://agentmods.dev/badge/instructions/stbenjam/skillsaw/agents-md/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.
<a href="https://agentmods.dev/instructions/stbenjam/skillsaw/agents-md"><img src="https://agentmods.dev/badge/instructions/stbenjam/skillsaw/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.05751 | $0.05751 |
| Opus 5.5 | $0.02300 | $0.02300 |
| Sonnet 5.5 | $0.01150 | $0.01150 |
| Haiku 4.5 | $0.00575 | $0.00575 |
Grade A, and why
skillsaw AGENTS.md scanned grade A with 1 finding 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 1mo 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
`subprocess.CompletedProcess` stand-in. Spawning an interpreter per call cost This is a copy
98% identical to skillsaw copilot-instructions.md — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Global Instructions
Development rules for skillsaw.
Pre-push Checklist
CRITICAL: You MUST always run these steps before pushing changes.
- Ensure branch is up to date with UPSTREAM (stbenjam/skillsaw) — check git remotes then merge upstream's main.
- Run
make test— run the full test suite and ensure all tests pass. Never assume a problem is pre-existing; follow the boyscout rule and fix it anyway. - Run
make lint— check formatting (or runmake formatto fix it). - Run
make update— regenerate all generated files (must come after version bump). - Test against
openshift-eng/ai-helpers: clone it, runskillsaw, and ensure exit 0.
Pre-PR Checklist
Follow these checks before opening a PR:
- Check whether documentation is up to date for the changes on this branch.
- Example: you add a new feature, flag, or lint type.
Action: update
README.mdto include this. - Example: you encounter a problem during development you must keep for later.
Action: update
.apm/instructionsand runmake update.
- Example: you add a new feature, flag, or lint type.
Action: update
- Verify test coverage on a new feature, flag, lint type or bug fix is complete.
- Bug fixes must include regression protection.
- New features, linters, and rules need integration test coverage WITH fixtures (see testing rules).
Authoring Agentic Context
When you create or edit a skill, slash command, agent, hook, or instruction
file in this repo, load the skillsaw-lint skill and follow it: lint the
file with .venv/bin/skillsaw lint <path>, apply fixes, and re-lint until
clean before you finish. We ship the linter — our own context must pass it.
Post-PR Checklist
After opening a PR, keep monitoring for feedback from CodeRabbit, Gemini, and stbenjam. You may stop monitoring 20 minutes after you push a PR. Review and handle valid feedback that comes in.
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.
- 1mo ago Changed · +1 lines · +20 tokens per session d995e88f4343
- 1mo ago Changed · +3 lines · -7 tokens per session 3b168e14550e
- 1mo ago Changed · +63 lines · +1,150 tokens per session c50a9ddfffed
- 2mo ago First seen · 342 lines · 4,588 tokens per session scan A 85a51a12ff2a
skillsaw AGENTS.md is an instructions file published in the GitHub repository stbenjam/skillsaw (68 stars, last pushed 2d ago), licensed Apache-2.0. It adds 5,751 tokens to every session, about $0.0230 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). It is 98% identical to skillsaw copilot-instructions.md, differing in 12 lines, and is treated as a copy.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.