mecha: Instructions file for Codex

AGENTS.md

mecha AGENTS.md is an instructions file for Codex, OpenCode from ljchang/mecha. It costs 1,347 tokens per session, scanned A, original, MIT.

Repository-specific instructions for coding agents working on the Mecha project. They explain which documents to read, how the code is divided, and which design constraints must be preserved.

In plain words
What is it for?
Use them when modifying Mecha’s core library, command-line tool, mail, Slack, evaluation, website, or documentation areas.
Why use it?
They help agents understand the project’s architecture and avoid changes that would break documented boundaries or established invariants.

Instructions file for CodexOpenCode

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

This is ljchang/mecha's own configuration. It tells Codex and OpenCode how to work on mecha 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 mecha configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ljchang/mecha. 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/ljchang/mecha/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/ljchang/mecha

Made for: Codex, OpenCode.

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Per session 1,347 This file is loaded in full into every session.
When invoked 1,347 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 $0.01347 $0.01347
Opus 5.5 $0.00539 $0.00539
Sonnet 5.5 $0.00269 $0.00269
Haiku 4.5 $0.00135 $0.00135

Measured 1mo ago against content hash 6babd2410167, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mecha 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 1mo 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 · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Instructions for AI coding agents working in this repository.

Read CLAUDE.md first, in full. It holds the cross-cutting invariants any session needs on any run, and this file deliberately does not duplicate it. docs/ARCHITECTURE.md records why each subsystem is shaped the way it is — the incident behind each invariant, and the bug that reappears when one is undone; read its section before changing a subsystem. That reasoning is what you need in order to change something safely, and it is not recoverable from the code alone.

CONTRIBUTING.md covers build commands, the testing layers, and pull request expectations.

Orientation

mecha-core/     the library; knows nothing about any CLI or application
mecha-cli/      the `mecha` binary; thin, all logic belongs in core
mecha-mail/     library plus three MCP binaries for mail and calendar
mecha-slack/    the Slack transport; has no mecha-core dependency, and must
                never gain one — that is why it is a crate and not a module
eval/           the case set and its fixtures
website/        the Docusaurus documentation site
docs/           design and research notes, not user documentation
results/        local only (untracked since 2026-10-04): run output and scorecards, on the operator's disk

Four workspace members, all published to crates.io. A new one that anything published depends on must be added to the release workflow's publish list in the same change that introduces it.

Before you start

cargo build --workspace --all-targets
cargo test --workspace

Both should pass on a clean checkout. If they do not, fix that before making changes — you cannot tell your breakage from pre-existing breakage otherwise.

Before you finish

cargo fmt --all
cargo clippy --all-targets --all-features
cargo test --workspace

CI treats warnings as errors, so a clippy warning will fail the build.

The traps

Read the full file on GitHub · 129 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. 1mo ago Changed · +14 tokens per session 6babd2410167
  2. 2mo ago First seen · 129 lines · 1,333 tokens per session scan A 47634197ed9c

Subscribe to this mod's changes

mecha AGENTS.md is an instructions file published in the GitHub repository ljchang/mecha (7 stars, last pushed today), licensed MIT. It adds 1,347 tokens to every session, about $0.0054 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.

Related

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mecha AGENTS.md next to 6 instructions from other repositories
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