argot AGENTS.md

argot AGENTS.md is an instructions file for Codex, OpenCode from get-tmonier/argot. It costs 3,818 tokens per session, scanned A, original, MIT.

Project instructions for argot, a repository-aware linter that learns patterns from a project's history. It flags unfamiliar dependencies or coding styles, duplicate functions, misplaced code, reversed imports, and weakened tests.

In plain words
What is it for?
Use them when setting up argot, checking a change against existing project conventions, reviewing its findings, or recording decisions about warnings.
Why use it?
They help an agent notice code that does not fit the repository while making clear that warnings are suggestions, not reasons to block work or change code automatically.

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/get-tmonier/argot/agents-md
Clone the repo
git clone --depth 1 https://github.com/get-tmonier/argot

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.

agentmods badge for argot AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/get-tmonier/argot/agents-md.svg)](https://agentmods.dev/instructions/get-tmonier/argot/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/get-tmonier/argot/agents-md"><img src="https://agentmods.dev/badge/instructions/get-tmonier/argot/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 3,818 This file is loaded in full into every session.
When invoked 3,818 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 $0.03818 $0.03818
Opus 5 $0.01909 $0.01909
Sonnet 5 $0.00764 $0.00764
Haiku 4.5 $0.00382 $0.00382

Measured 3d ago against content hash 70604148fbfc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

argot 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 3d 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 · 241 lines

How it starts

The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Working with argot

argot is a guardrail that flags code foreign to a repo's own patterns — learned from its git history. Five learned detectors: a foreign dependency/API/idiom, a function the repo already has, code filed in the wrong place, an internal import that reverses the repo's layering, and a test weakened, disabled, or deleted alongside the production change it covers — plus repo-local custom rules the team scripts itself (see below). It answers "is this how we write things here?", not "is this valid?". This file tells a coding agent how to use it well. (Developing argot itself? See CLAUDE.md.)

The contract: surface, don't enforce

argot is a probabilistic linter. It has false positives, and its confidence depends on the repo. A hit is a prompt to think, never a reason to refuse.

  • Never block a commit, fail a task, or refuse to proceed because argot fired.
  • Never auto-"fix" a hit by rewriting code the human didn't ask you to change.
  • The human always has the last word. Your job is to surface divergences and record decisions, not to enforce.

Two moments

  1. Setup (once per repo). Fit the voice model and decide what shouldn't shape it. → argot init (also builds the semantic index — the embedding model ships inside the binary, so this needs no network). Review and commit argot.toml and the generated .argot/ fit snapshot; CI consumes that snapshot and never fits. Then use the argot-setup skill for anything with generated/vendored/data directories. See Setup.
  2. Check (per change). Before committing code you generated or edited, score it. → argot check, or the argot-check skill.

Snapshot maintenance is adaptive, not scheduled: argot status compares the accepted tree with the fitted source/function/layout profile. Commit count and age are context only unless the team explicitly configures [fit] refresh-after as a backstop. watch is informational; only recommended or strongly_recommended should prompt maintenance. Use the argot-refresh skill: refresh.next_action says whether to fit directly or review scope first; the skill also reviews mutes before the local fit, review, and commit. No command or CI workflow refits automatically.

Read the full file on GitHub · 241 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. 3d ago First seen · 241 lines · 3,818 tokens per session scan A 70604148fbfc

Subscribe to this mod's changes

argot AGENTS.md is an instructions file published in the GitHub repository get-tmonier/argot (48 stars, last pushed 21d ago), licensed MIT. It adds 3,818 tokens to every session, about $0.0191 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.