ai-engineering-workflow AGENTS.md

Repository instructions for an AI engineering workflow that organizes complex agent work into issue creation, breakdown, execution, updates, status checks, and closure.

In plain words
What is it for?
Use them to manage multi-file development, coding projects, research prototypes, and data tasks from initial issue through completion.
Why use it?
They give coding agents a repeatable sequence for clarifying requirements, splitting work, verifying changes, and handing results back clearly.

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/jared13pg/ai-engineering-workflow/agents-md
Clone the repo
git clone --depth 1 https://github.com/Jared13PG/ai-engineering-workflow

Made for: Codex, OpenCode.

Per session 1,404 This file is loaded in full into every session.
When invoked 1,404 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 $0.01404 $0.01404
Opus 5 $0.00702 $0.00702
Sonnet 5 $0.00281 $0.00281
Haiku 4.5 $0.00140 $0.00140

Measured 2d ago against content hash 06c99fa11f1e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-engineering-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 · 230 lines

How it starts

The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Project Identity

This repository contains a Codex Skill named:

ai-engineering-workflow

The purpose of this project is to provide a reusable AI engineering workflow for Codex. The skill helps Codex handle complex assignments, coding projects, data analysis tasks, research prototypes, and multi-file development work using a structured engineering process.

The workflow is:

issue-create → issue-breakdown → issue-execute → issue-update → issue-status → issue-close

This project should make AI-assisted development more reliable by enforcing context gathering, requirement clarification, task decomposition, atomic execution, verification, documentation updates, and final handoff.


Main Skill Location

The main skill files are located at:

.agents/skills/ai-engineering-workflow/

The core file is:

.agents/skills/ai-engineering-workflow/SKILL.md

Do not rename the skill directory unless the user explicitly asks.

Do not change the skill name unless the user explicitly asks.

The skill name must remain:

ai-engineering-workflow

Repository Structure

Expected repository structure:

ai-engineering-workflow/
├── README.md
├── AGENTS.md
├── LICENSE
├── CHANGELOG.md
├── .gitignore
├── .gitattributes
├── examples/
│   ├── homework-test-plan.md
│   └── local-validation-result.md
└── .agents/
    └── skills/
        └── ai-engineering-workflow/
            ├── SKILL.md
            ├── references/
            │   ├── workflow-overview.md
            │   ├── issue-create-guide.md
            │   ├── issue-breakdown-guide.md
            │   ├── issue-execute-guide.md
            │   ├── issue-update-status-guide.md
            │   ├── issue-close-guide.md
            │   └── quality-control.md
            └── assets/
                └── templates/
                    ├── issue-template.md
                    ├── system-analysis-template.md
                    ├── architecture-template.md
                    ├── task-breakdown-template.md
                    ├── status-template.md
                    └── close-report-template.md

Read the full file on GitHub · 230 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. 2d ago First seen · 230 lines · 1,404 tokens per session scan A 06c99fa11f1e

Subscribe to this mod's changes

ai-engineering-workflow AGENTS.md is an instructions file published in the GitHub repository Jared13PG/ai-engineering-workflow (2 stars, last pushed 1mo ago), licensed MIT. It adds 1,404 tokens to every session, about $0.0070 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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