Borrowing it
Nothing to install: this file belongs to computerlovetech/agr. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/computerlovetech/agr/main/AGENTS.mdgit clone --depth 1 https://github.com/computerlovetech/agrWrote 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.
[](https://agentmods.dev/instructions/computerlovetech/agr/agents-md)<a href="https://agentmods.dev/instructions/computerlovetech/agr/agents-md"><img src="https://agentmods.dev/badge/instructions/computerlovetech/agr/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.
<a href="https://agentmods.dev/instructions/computerlovetech/agr/agents-md"><img src="https://agentmods.dev/badge/instructions/computerlovetech/agr/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00571 | $0.00571 |
| Opus 5.5 | $0.00228 | $0.00228 |
| Sonnet 5.5 | $0.00114 | $0.00114 |
| Haiku 4.5 | $0.00057 | $0.00057 |
Grade A, and why
agr 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Resources
The package manager for AI agents. Built for teams practicing Agentic Engineering.
Commands
This project uses uv for Python environment management. Always use uv run to execute Python commands to ensure they run in the correct virtual environment.
# Run tests
uv run pytest
# Run linters/formatters
uv run ruff check .
uv run ruff format .
# Run type checker
uv run ty check
# Test the CLI tools
uv run agr --help
uv run agrx --help
Architecture
Two CLI tools share a common core library:
agr— Main CLI (Typer app inagr/main.py). Commands: add, remove, sync, list, init, config.agrx— Ephemeral skill runner (agrx/main.py). Downloads and runs a skill without persisting it.
For detailed architecture, contributing guides, code patterns, and recipes, see docs/contributing/.
agr.toml Format
The configuration file uses a flat array of dependencies:
dependencies = [
{handle = "username/repo/skill", type = "skill"},
{handle = "username/skill", type = "skill"},
{path = "./local/skill", type = "skill"},
{handle = "username/repo/my-ralph", type = "ralph"},
]
Each dependency has:
type:"skill"or"ralph". Skills install into each configured tool's skills dir; ralphs install once into.agents/ralphs/<name>/(project-scoped, no per-tool fan-out, no global installs).handle: Remote GitHub reference (username/repo/skill or username/skill)path: Local path (alternative to handle)
Future: A tools section will configure which tools to sync to:
tools = ["claude", "cursor"]
Conventions
- Commit messages:
docs: explain X for users who want to Y,feat: add X so users can Y,fix: resolve X that caused Y - Dependencies: Keep runtime deps minimal. Prefer stdlib over new deps.
- Tests: Include tests for new functionality. No external services, no API keys in tests.
- Docs: Run
mkdocs build --strictbefore committing doc 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.
- 1mo ago First seen · 69 lines · 571 tokens per session scan A 3140bbe91251
agr AGENTS.md is an instructions file published in the GitHub repository computerlovetech/agr (453 stars, last pushed 2mo ago), licensed MIT. It adds 571 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.