Borrowing it
Nothing to install: this file belongs to justrach/codegraff2. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/justrach/codegraff2/main/AGENTS.mdgit clone --depth 1 https://github.com/justrach/codegraff2Wrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/justrach/codegraff2/agents-md)<a href="https://agentmods.dev/instructions/justrach/codegraff2/agents-md"><img src="https://agentmods.dev/badge/instructions/justrach/codegraff2/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/justrach/codegraff2/agents-md"><img src="https://agentmods.dev/badge/instructions/justrach/codegraff2/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01755 | $0.01755 |
| Opus 5.5 | $0.00702 | $0.00702 |
| Sonnet 5.5 | $0.00351 | $0.00351 |
| Haiku 4.5 | $0.00176 | $0.00176 |
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 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.
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.
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::Resultfor error handling in services and repositories. - Create domain errors using
thiserror. - Never implement
Fromfor 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_assertionsfor 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,actualandexpectedin 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 createactual,expectedand speciallyfixtures. For example:Good:
User::default().age(12).is_happy(true).name("John") User::new("Job").age(12).is_happy() User::test() // Special test constructorBad:
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. Useexpectinstead ofpanic!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") }
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.
- 2mo ago First seen · 247 lines · 1,755 tokens per session scan A 05c74ff00c7b
codegraff2 AGENTS.md is an instructions file published in the GitHub repository justrach/codegraff2 (27 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 1,755 tokens to every session, about $0.0070 per session on Opus 5.5. 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.
codegraff2 AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| codegraff2 AGENTS.mdjustrach/codegraff2 | Instructions file | 27 | 4mo ago | Apache-2.0 | A | 1,755 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |