agnostic-ai r2.instructions.md

agnostic-ai r2.instructions.md is an instructions file for GitHub Copilot from Chemaclass/agnostic-ai. It costs 45 tokens per session, scanned A, a copy of agnostic-ai r1.instructions.md, MIT.

A set of instructions for agnostic-ai, a project that keeps AI-agent skills, rules, and hooks in one source and converts them for different AI command-line tools.

In plain words
What is it for?
It helps organise shared instructions and prepare them for use across multiple AI command-line tools.
Why use it?
It removes the need to maintain separate copies of the same agent guidance for each tool.

Instructions file for GitHub Copilot

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/chemaclass/agnostic-ai/r2
Clone the repo
git clone --depth 1 https://github.com/Chemaclass/agnostic-ai

Made for: GitHub Copilot.

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 agnostic-ai r2.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/chemaclass/agnostic-ai/r2.svg)](https://agentmods.dev/instructions/chemaclass/agnostic-ai/r2)
Your own site
<a href="https://agentmods.dev/instructions/chemaclass/agnostic-ai/r2"><img src="https://agentmods.dev/badge/instructions/chemaclass/agnostic-ai/r2.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 This file is loaded in full into every session.
When invoked 45 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 86% copy Near-identical to another mod 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 $0.00045 $0.00045
Opus 5 $0.00023 $0.00023
Sonnet 5 $0.00009 $0.00009
Haiku 4.5 $0.00005 $0.00005

Measured 5d ago against content hash 5595f493a0ee, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agnostic-ai r2.instructions.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 5d 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

This is a copy

86% identical to agnostic-ai r1.instructions.md — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

internal/adapters/copilot/testdata/kitsink/.github/instructions/r2.instructions.md · 8 lines

What it actually says

rule 2 body

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. 5d ago First seen · 8 lines · 45 tokens per session scan A 5595f493a0ee

Subscribe to this mod's changes

agnostic-ai r2.instructions.md is an instructions file published in the GitHub repository Chemaclass/agnostic-ai (11 stars, last pushed today), licensed MIT. It adds 45 tokens to every session, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to agnostic-ai r1.instructions.md, differing in 4 lines, and is treated as a copy.