codegraff2 AGENTS.md

Repository instructions for Codegraff2, a Rust project, covering error handling, tests, and domain types.

In plain words
What is it for?
Implementing Rust services and repositories, defining domain errors, and writing tests with fixtures and expected results.
Why use it?
They give coding agents consistent rules for reporting errors and writing readable, reusable tests.

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/justrach/codegraff2/agents-md
Clone the repo
git clone --depth 1 https://github.com/justrach/codegraff2

Made for: Codex, OpenCode.

Per session 1,755 This file is loaded in full into every session.
When invoked 1,755 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 97% copy Near-identical to another mod 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 $0.01755 $0.01755
Opus 5 $0.00877 $0.00877
Sonnet 5 $0.00351 $0.00351
Haiku 4.5 $0.00176 $0.00176

Measured 2d ago against content hash 05c74ff00c7b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codegraff2 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.

Origin

This is a copy

97% identical to forgecode AGENTS.md — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

AGENTS.md · 247 lines

How it starts

The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Guidelines

This document contains guidelines and best practices for AI agents working with this codebase.

Error Management

  • Use anyhow::Result for error handling in services and repositories.
  • Create domain errors using thiserror.
  • Never implement From for converting domain errors, manually convert them

Writing Tests

  • All tests should be written in three discrete steps:

    use pretty_assertions::assert_eq; // Always use pretty assertions
    
    fn test_foo() {
        let setup = ...; // Instantiate a fixture or setup for the test
        let actual = ...; // Execute the fixture to create an output
        let expected = ...; // Define a hand written expected result
        assert_eq!(actual, expected); // Assert that the actual result matches the expected result
    }
    
  • Use pretty_assertions for better error messages.

  • Use fixtures to create test data.

  • Use assert_eq! for equality checks.

  • Use assert!(...) for boolean checks.

  • Use unwraps in test functions and anyhow::Result in fixtures.

  • Keep the boilerplate to a minimum.

  • Use words like fixture, actual and expected in test functions.

  • Fixtures should be generic and reusable.

  • Test should always be written in the same file as the source code.

  • Use new, Default and derive_setters::Setters to create actual, expected and specially fixtures. For example:

    Good:

    User::default().age(12).is_happy(true).name("John")
    User::new("Job").age(12).is_happy()
    User::test() // Special test constructor
    

    Bad:

    User {name: "John".to_string(), is_happy: true, age: 12}
    User::with_name("Job") // Bad name, should stick to User::new() or User::test()
    
  • Use unwrap() unless the error information is useful. Use expect instead of panic! when error message is useful. For example:

    Good:

    users.first().expect("List should not be empty")
    

    Bad:

    if let Some(user) = users.first() {
        // ...
    } else {
        panic!("List should not be empty")
    }
    

Read the full file on GitHub · 247 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 · 247 lines · 1,755 tokens per session scan A 05c74ff00c7b

Subscribe to this mod's changes

codegraff2 AGENTS.md is an instructions file published in the GitHub repository justrach/codegraff2 (24 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 1,755 tokens to every session, about $0.0088 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to forgecode AGENTS.md, differing in 2 lines, and is treated as a copy.

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