What is agent-code AGENTS.md?

Instructions for a verify command that sends work to a quality-assurance subagent. The excerpt does not explain what checks that subagent performs.

Use it to start the repository’s verification or QA process when that command is available.

It provides a named verification step, but the available information is too limited to describe its exact checks.

How avala-ai/agent-code configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to avala-ai/agent-code. 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/avala-ai/agent-code/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/avala-ai/agent-code

Made for: Codex, OpenCode.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/avala-ai/agent-code/agents-md/github.svg)](https://agentmods.dev/instructions/avala-ai/agent-code/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/avala-ai/agent-code/agents-md"><img src="https://agentmods.dev/badge/instructions/avala-ai/agent-code/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/avala-ai/agent-code/agents-md"><img src="https://agentmods.dev/badge/instructions/avala-ai/agent-code/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,846 This file is loaded in full into every session.

When invoked 2,846 The same file — it is already loaded in full.

Security scan C 1 finding. 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.

Model	Per session	Once invoked
Fable 5.1	$0.02846	$0.02846
Opus 5.5	$0.01138	$0.01138
Sonnet 5.5	$0.00569	$0.00569
Haiku 4.5	$0.00285	$0.00285

Measured 2mo ago against content hash edd3f4b40c62, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

agent-code AGENTS.md scanned grade C with 1 finding 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

The bash tool warns on patterns like `rm -rf`, `git reset --hard`, `DROP TABLE`, etc. and blocks writes to system paths (`/etc`, `/usr`, `/bin`, `/sbin`, `/boot`, `/sys`, `/proc`). Do not narrow these checks. If you add

AGENTS.md · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 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 this file in full before making changes. It captures the non-obvious rules — conventions you cannot derive from just grepping the code.

This repo is agent-code (Avala AI): a Rust terminal coding agent, shipped as both a CLI and an embeddable library. Because this project is itself an agent, changes here affect the safety posture of every user who runs it. Move carefully.

Throughput (parallel agents / multi-crate work): read SHIP.md — blast radius, non-overlapping lanes, one git worktree per concurrent writer, atomic commits. Opt-in for multi-agent, multi-crate, or bloating PRs — not tiny single-crate edits. Does not lower the security or CI bar.

1. Repo layout

crates/
  lib/        # agent-code-lib — LLM providers, tools, query loop, memory,
              #   permissions, MCP client, skills, compaction. The engine.
  cli/        # agent-code    — binary: REPL, TUI, slash commands, streaming output.
  eval/       # agent-code-eval — behavioral evaluation harness (not published).
client/       # Flutter desktop/web client that talks to `agent --serve`.
packages/     # TypeScript client library (`agent_code_client`).
npm/          # npm installer wrapper.
docs/         # Mintlify + mdBook docs (architecture, guides, reference).
evals/        # Eval fixtures and scenarios consumed by `crates/eval`.
scripts/      # E2E shell harnesses.
.github/workflows/  # CI — `ci.yml` is the canonical gate.

Supporting docs you should read before a non-trivial change: README.md, ARCHITECTURE.md, SECURITY.md, CONTRIBUTING.md, ROADMAP.md, RELEASING.md, CHANGELOG.md, SHIP.md (when multi-agent or multi-crate).

2. Build, test, lint — the CI gate

Every PR must pass ci.yml. Run these locally before pushing; they are the exact commands CI runs.

cargo check   --all-targets                   # compile
cargo test    --all-targets                   # unit + integration + doc tests
cargo clippy  --all-targets -- -D warnings    # lint — warnings are errors
cargo fmt     --all -- --check                # format gate

Read the full file on GitHub · 222 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.

2mo ago First seen · 222 lines · 2,846 tokens per session scan C edd3f4b40c62

Subscribe to this mod's changes

agent-code AGENTS.md is an instructions file published in the GitHub repository avala-ai/agent-code (36 stars, last pushed 4d ago), licensed MIT. It adds 2,846 tokens to every session, about $0.0114 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

coding-agent

agent-code AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
agent-code AGENTS.mdavala-ai/agent-code	Instructions file	36	4d ago	MIT	C	2,846	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

agent-code: Instructions file for Codex