agent-workflow AGENTS.md

Repository instructions for AI coding agents, including which guidance files to read and how to record an agent's contribution to a Git commit.

In plain words
What is it for?
Use them when starting repository work, preparing commits involving an AI agent, or verifying co-author trailers before pushing.
Why use it?
They reduce the risk of ignoring project-specific instructions or using incorrect commit attribution. They also require checking the attribution before code is pushed.

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/wangbinquan/agent-workflow/agents-md
Clone the repo
git clone --depth 1 https://github.com/wangbinquan/agent-workflow

Made for: Codex, OpenCode.

Per session 263 This file is loaded in full into every session.
When invoked 263 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 $0.00263 $0.00263
Opus 5 $0.00131 $0.00131
Sonnet 5 $0.00053 $0.00053
Haiku 4.5 $0.00026 $0.00026

Measured 2d ago against content hash c30cebe7866b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-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 2d 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 · 15 lines

What it actually says

Repository agent instructions

  • Before starting work, read CLAUDE.md and STATE.md, then follow the current repository guidance in those files.

Commit attribution

  • When an AI coding agent materially contributes to a commit, append a standard Git co-author trailer using the actual agent or model name and its provider's noreply email: Co-Authored-By: <agent-or-model-name> <provider-noreply-email>
  • For Claude Fable 5, use exactly: Co-Authored-By: Claude Fable 5 <[email protected]>
  • Replace every placeholder with the contributing session's real values. Do not hard-code one vendor, product, model, or email for all agents, and do not attribute a commit to an agent that did not materially contribute.
  • If multiple agents materially contributed to one commit, add one non-duplicated Co-Authored-By trailer per contributing agent.
  • Do not add an agent co-author trailer to a human-only commit.
  • After committing and before pushing, verify the trailer with git show -s --format=%B HEAD. If a required trailer is missing, fix it before push; do not rewrite already-pushed shared history solely to add or change attribution.
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. 2d ago First seen · 15 lines · 263 tokens per session scan A c30cebe7866b

Subscribe to this mod's changes

agent-workflow AGENTS.md is an instructions file published in the GitHub repository wangbinquan/agent-workflow (23 stars, last pushed 2d ago), licensed Apache-2.0. It adds 263 tokens to every session, about $0.0013 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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