Borrowing it
Nothing to install: this file belongs to cunhaax/ai-workflow. 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/cunhaax/ai-workflow/master/AGENTS.mdgit clone --depth 1 https://github.com/cunhaax/ai-workflowWrote 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/cunhaax/ai-workflow/agents-md)<a href="https://agentmods.dev/instructions/cunhaax/ai-workflow/agents-md"><img src="https://agentmods.dev/badge/instructions/cunhaax/ai-workflow/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/cunhaax/ai-workflow/agents-md"><img src="https://agentmods.dev/badge/instructions/cunhaax/ai-workflow/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 | $0.02579 | $0.02579 |
| Opus 5.5 | $0.01032 | $0.01032 |
| Sonnet 5.5 | $0.00516 | $0.00516 |
| Haiku 4.5 | $0.00258 | $0.00258 |
Grade A, and why
ai-workflow AGENTS.md 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Workflow Template
Guidance for AI coding agents working in this repository. This file
(AGENTS.md) is the canonical copy; CLAUDE.md imports it via @AGENTS.md so
Claude Code (and its sub-agents) load it, while other tools that read
AGENTS.md directly still see one source of truth. Keep it lean — as the
instruction count grows, instruction-following quality degrades across all
instructions. Deep detail belongs in docs/ and the code — this file is the
map, not the territory.
Rules — non-negotiable
These apply to every agent — the main agent and any sub-agents it invokes. Nothing enforces them automatically; following them is your responsibility.
-
Use the project's canonical commands. Build, run, stop, and test only through the documented commands (see Commands). If a wrapper exists (
make/just/an npm script/…), do not invoke the underlying build tool directly — the wrapper may add serialisation, environment setup, or safety the raw tool skips. If a needed capability has no command, STOP and report the gap (Rule 2) rather than substituting raw shell. -
If a command or tool fails — or succeeds without doing what it should — STOP and report it; never silently work around it. Give the user the exact step (command or tool call) and its full output, then wait. Do not retry with different flags/ports/tools or skip the step. Surfacing the problem is expected, not a failure on your part.
-
Stay on the branch you were started on. Commit directly onto the current branch. Never create, switch, or check out branches, and never
git worktree add(restoring a file withgit checkout -- <path>is fine). If you believe the branch must change, STOP and ask first. Feature work assumes the human starts the session on a fresh feature branch — the code review diffs against the default branch and the PR targets it, neither of which works from the default branch itself. If you start on the default branch, STOP and ask before planning.
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.
- today Changed · -4 tokens per session f4e856dbb197
- 20d ago Changed · -1 lines · -19 tokens per session 14ff45ae0f9f
- 1mo ago First seen · 188 lines · 2,602 tokens per session scan A 3a60623815ce
ai-workflow AGENTS.md is an instructions file published in the GitHub repository cunhaax/ai-workflow (5 stars, last pushed today), licensed MIT. It adds 2,579 tokens to every session, about $0.0103 per session on Opus 5.5. 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 2026-08-31.
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
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.