What is agentrig AGENTS.md?

A project instruction file that defines how an AI coding agent should behave in the agentrig project. It covers coding practices, security, version control, and rules for handling the project’s artifact catalogue.

It is for guiding code changes, enforcing project standards, protecting registry states, and making the command line and website use the same software-development rules.

It gives the agent shared project rules so decisions about implementation, security, and Git operations stay consistent.

How regenrek/agentrig configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to regenrek/agentrig. 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/regenrek/agentrig/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/regenrek/agentrig

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/regenrek/agentrig/agents-md/github.svg)](https://agentmods.dev/instructions/regenrek/agentrig/agents-md)

Your own site

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

Per session 568 This file is loaded in full into every session.

When invoked 568 The same file — it is already loaded in full.

Security scan A 0 findings. 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	$0.00568	$0.00568
Opus 5.5	$0.00227	$0.00227
Sonnet 5.5	$0.00114	$0.00114
Haiku 4.5	$0.00057	$0.00057

Measured 2mo ago against content hash 2391e214dacb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agentrig 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.

AGENTS.md · 41 lines

How it starts

The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Non-negotiables

Ship production-grade, scalable (>1000 users) implementations; avoid MVP/minimal shortcuts.
Optimize for long-term sustainability: maintainable, reliable designs.
Make changes the single canonical implementation in the primary codepath; delete legacy/dead/duplicate paths as part of delivery.
Use direct, first-class integrations; do not introduce shims, wrappers, glue code, or adapter layers.
Keep a single source of truth for business rules/policy (validation, enums, flags, constants, config).
Clean API invariants: define required inputs, validate up front, fail fast.
Use latest stable libs/docs; if unsure, do a web search.
For artifact catalog work, @agentrig/sdk is the canonical owner of artifact kind contracts, extraction, closure detection, scan/tree digests, and Selection Bundle construction. CLI and web must consume SDK outputs instead of duplicating scanner, materializer, closure, or enrichment validation logic.
Registry installability is the public trust boundary. Directory presence, profile ownership, discovery submissions, or AI enrichment never override blocked or yanked registry states.

Codex behaviour

If files change unexpectedly, assume parallel edits and continue; keep your diff scoped. Stop only for conflicts/breakage, then ask the user.
When web searching, prefer 2026 (latest) sources/docs unless an older version is explicitly needed.

Coding Style

Target <=500 LOC (hard cap 750; imports/types excluded).
Keep UI/markup nesting <=3 levels; extract components/helpers when JSX/templating repeats, responsibilities pile up, or variant/conditional switches grow.

Security guards

No delete/move/overwrite without explicit user request; for deletions prefer trash over rm.
Don’t expose secrets in code/logs; use env/secret stores.
Validate/sanitize untrusted input to prevent injection, path traversal, SSRF, and unsafe uploads.
Enforce AuthN/AuthZ and tenant boundaries; least privilege.
Be cautious with new dependencies; flag supply-chain/CVE risk.

Read the full file on GitHub · 41 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 · 41 lines · 568 tokens per session scan A 2391e214dacb

Subscribe to this mod's changes

agentrig AGENTS.md is an instructions file published in the GitHub repository regenrek/agentrig (23 stars, last pushed 2mo ago), licensed MIT. It adds 568 tokens to every session, about $0.0023 per session on Opus 5.5. 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.

agentrig AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
agentrig AGENTS.mdregenrek/agentrig	Instructions file	23	2mo ago	MIT	A	568	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	9,719	GitHub Copilot
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	5,516	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	today	MIT	A	4,680	Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	3,093	GitHub Copilot
vscode model-prompts.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	2,022	GitHub Copilot

agentrig: Instructions file for Codex