ai-workflow AGENTS.md

ai-workflow AGENTS.md is an instructions file for Codex, OpenCode from cunhaax/ai-workflow. It costs 2,602 tokens per session, scanned A, original, MIT.

A set of shared instructions for an AI workflow project. It makes AGENTS.md the canonical guide for all coding agents and describes project rules, commands, architecture, and how deeper documentation is organized.

In plain words
What is it for?
Use it to guide agents during project setup, development, testing, and troubleshooting. It defines how to use the project's official command wrappers and how to handle workflow gaps.
Why use it?
It gives every agent one consistent source of rules and prevents different tools from following conflicting copies. It also requires agents to stop and report when a documented command fails or is missing.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/cunhaax/ai-workflow/agents-md
Clone the repo
git clone --depth 1 https://github.com/cunhaax/ai-workflow

Made for: Codex, OpenCode.

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 ai-workflow AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/cunhaax/ai-workflow/agents-md.svg)](https://agentmods.dev/instructions/cunhaax/ai-workflow/agents-md)
Your own site
<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="Measured on agentmods" height="20"></a>
Per session 2,602 This file is loaded in full into every session.
When invoked 2,602 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.02602 $0.02602
Opus 5 $0.01301 $0.01301
Sonnet 5 $0.00520 $0.00520
Haiku 4.5 $0.00260 $0.00260

Measured 4d ago against content hash 3a60623815ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 4d 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.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 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.

  1. 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.

  2. 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.

  3. 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 with git 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.

Read the full file on GitHub · 188 lines

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. 4d ago First seen · 188 lines · 2,602 tokens per session scan A 3a60623815ce

Subscribe to this mod's changes

ai-workflow AGENTS.md is an instructions file published in the GitHub repository cunhaax/ai-workflow (5 stars, last pushed 8d ago), licensed MIT. It adds 2,602 tokens to every session, about $0.0130 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 2026-08-31.

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