forgecode AGENTS.md

A set of instructions for coding agents working on a Rust codebase, including rules for errors, tests, and domain types.

In plain words
What is it for?
Use it when changing services or repositories, defining errors, writing tests with fixtures, or checking expected coding practices.
Why use it?
It gives agents consistent project-specific choices instead of leaving each change to guesswork.

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

Made for: Codex, OpenCode.

Per session 1,742 This file is loaded in full into every session.
When invoked 1,742 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 $0.01742 $0.01742
Opus 5 $0.00871 $0.00871
Sonnet 5 $0.00348 $0.00348
Haiku 4.5 $0.00174 $0.00174

Measured 2d ago against content hash f6fc40414b48, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

forgecode 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

Copies of this mod

1 near-identical copy found in the catalogue:

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 · 1,742 tokens per session scan A f6fc40414b48

Subscribe to this mod's changes

forgecode AGENTS.md is an instructions file published in the GitHub repository tailcallhq/forgecode (7,599 stars, last pushed 2d ago), licensed Apache-2.0. It adds 1,742 tokens to every session, about $0.0087 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 2026-08-30.