ai-dev-blueprint: Instructions file for Codex

AGENTS.md

ai-dev-blueprint AGENTS.md is an instructions file for Codex, OpenCode from mcw-wellness/ai-dev-blueprint. It costs 780 tokens per session, scanned A, original, MIT.

Repository instructions that define coding rules, status updates, and task procedures for the ai-dev-blueprint project.

In plain words
What is it for?
Use them when changing or reviewing that repository, especially when planning work, running experiments, or reporting progress.
Why use it?
They make the agent follow the project's expectations, such as writing tests before code and requiring a written specification.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions AGENTS.md; mentions Codex.

This is mcw-wellness/ai-dev-blueprint's own configuration. It tells Codex and OpenCode how to work on ai-dev-blueprint itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-dev-blueprint configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mcw-wellness/ai-dev-blueprint. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mcw-wellness/ai-dev-blueprint/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/mcw-wellness/ai-dev-blueprint

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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<a href="https://agentmods.dev/instructions/mcw-wellness/ai-dev-blueprint/agents-md"><img src="https://agentmods.dev/badge/instructions/mcw-wellness/ai-dev-blueprint/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 780 This file is loaded in full into every session.
When invoked 780 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00780 $0.00780
Opus 5.5 $0.00312 $0.00312
Sonnet 5.5 $0.00156 $0.00156
Haiku 4.5 $0.00078 $0.00078

Measured 2mo ago against content hash ce5b3f495324, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-dev-blueprint 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 2mo 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 · 49 lines

How it starts

The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.

@soul.md @setup.md @preferences.md

Core principles

These apply to every task. If a suggestion violates one, call it out.

  • KISS — simplest thing that works.
  • YAGNI — only what's asked for.
  • TDD — tests first, code second (experiments excepted).
  • Spec-anchored — no code without a spec.
  • Fail loud — never swallow an exception. A catch/except that logs and carries on hides the very failure it was meant to survive, and the system then lies about being healthy. Swallowing is undesired by default and requires my explicit approval, recorded in a comment naming the reason. Otherwise: let it propagate, or stop the affected work.

Status updates

Whenever you give me a duration or ETA (how long something will take, when it'll finish, when you'll wake up to check), include the current local time so I can compute the actual finish time. Run date to get it — don't guess from memory.

Format: ETA ~10 min (now 11:14, finishes ~11:24). Without the anchor, "10 min" is useless if I read the message late.

Playbooks

Hard gate — read the relevant playbook before you propose anything. Not just before coding. Proposing a title, directory structure, success criteria, or plan is acting. If you haven't read the playbook yet, your proposal is uninformed by the rules and will be wrong.

Doing this Read this
Starting a feature or fixing a bug how-to-develop.md
Reviewing a plan (before coding) how-to-review-spec.md
Reviewing code (after coding) how-to-review-code.md
Writing tests how-to-write-tests.md
Running or creating an experiment (incl. hardware) how-to-run-experiments.md
Reverse-engineering legacy code how-to-reverse-engineer.md
Validating parity with a legacy system how-to-shadow-replay.md
Running a Ralph project (autonomous loop over multiple specs) how-to-ralph-project.md

Read the full file on GitHub · 49 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. 2mo ago First seen · 49 lines · 780 tokens per session scan A ce5b3f495324

Subscribe to this mod's changes

ai-dev-blueprint AGENTS.md is an instructions file published in the GitHub repository mcw-wellness/ai-dev-blueprint (2 stars, last pushed 27d ago), licensed MIT. It adds 780 tokens to every session, about $0.0031 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.

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