MirrorArc AGENTS.md

MirrorArc AGENTS.md is an instructions file for Codex, OpenCode from cz1993/MirrorArc. It costs 731 tokens per session, scanned A, original, AGPL-3.0.

Repository-specific instructions for an AI coding agent working on the MirrorArc project. The excerpt does not explain the project or list the actual ownership and data-handling rules.

In plain words
What is it for?
Use it as project context only after reading its full instructions; the supplied information does not support naming specific tasks.
Why use it?
The available description is too thin to identify the concrete guidance it provides.

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/cz1993/mirrorarc/agents-md
Clone the repo
git clone --depth 1 https://github.com/cz1993/MirrorArc

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 MirrorArc AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/cz1993/mirrorarc/agents-md.svg)](https://agentmods.dev/instructions/cz1993/mirrorarc/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/cz1993/mirrorarc/agents-md"><img src="https://agentmods.dev/badge/instructions/cz1993/mirrorarc/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 731 This file is loaded in full into every session.
When invoked 731 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00731 $0.00731
Opus 5 $0.00365 $0.00365
Sonnet 5 $0.00146 $0.00146
Haiku 4.5 $0.00073 $0.00073

Measured 4d ago against content hash 8306e364029f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

MirrorArc 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 4d 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 · 50 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 4d ago First seen · 50 lines · 731 tokens per session scan A 8306e364029f

Subscribe to this mod's changes

MirrorArc AGENTS.md is an instructions file published in the GitHub repository cz1993/MirrorArc (90 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 731 tokens to every session, about $0.0037 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.