mecha AGENTS.md

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

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/ljchang/mecha/agents-md
Clone the repo
git clone --depth 1 https://github.com/ljchang/mecha

Made for: Codex, OpenCode.

Per session 1,333 This file is loaded in full into every session.
When invoked 1,333 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 $0.01333 $0.01333
Opus 5 $0.00666 $0.00666
Sonnet 5 $0.00267 $0.00267
Haiku 4.5 $0.00133 $0.00133

Measured 2d ago against content hash 47634197ed9c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 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 · 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/        recorded scorecards; the baselines comparisons are made against

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

Each of these is a real bug this project has already shipped once. They share a shape: the code compiles, every test stays green, and the failure appears somewhere else entirely.

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. 2d 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 (6 stars, last pushed 2d ago), licensed MIT. It adds 1,333 tokens to every session, about $0.0067 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.