Borrowing it
Nothing to install: this file belongs to yigitkonur/awesome-herdr. 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/yigitkonur/awesome-herdr/main/AGENTS.mdgit clone --depth 1 https://github.com/yigitkonur/awesome-herdrWrote 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/yigitkonur/awesome-herdr/agents-md)<a href="https://agentmods.dev/instructions/yigitkonur/awesome-herdr/agents-md"><img src="https://agentmods.dev/badge/instructions/yigitkonur/awesome-herdr/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/yigitkonur/awesome-herdr/agents-md"><img src="https://agentmods.dev/badge/instructions/yigitkonur/awesome-herdr/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 | $0.01201 | $0.01201 |
| Opus 5 | $0.00600 | $0.00600 |
| Sonnet 5 | $0.00240 | $0.00240 |
| Haiku 4.5 | $0.00120 | $0.00120 |
Grade A, and why
awesome-herdr 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 9d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Working rules and language guidelines for anyone — human or agent — editing this repository. It is a curated, plain-English index of the Herdr ecosystem. Keep it lean, minimalist, and immediately useful.
1. Project Philosophy & Minimalist Structure
- No Onboarding Tutorials: Do not add introductory installation essays, "how to choose your layer" tables, or getting-started walkthroughs to the catalog root. Keep the README strictly minimalist: title, official links, Table of Contents with counts, and direct jump links into the tables.
- Fast Jump Navigation: Readers should jump straight to the relevant problem domain from the Table of Contents in 1 click.
2. Project Language & Voice Values
The language of this catalog must be simple, direct, and developer-friendly:
2.1. Plain-English, Verb-First Prose
- Lead with active verbs (Adds, Teaches, Runs, Maps, Monitors, Filters, Connects, Orchestrates, Embeds, Extends, Dispatches).
- Avoid passive constructions, convoluted em-dash chains, and marketing buzzwords ("ultimate", "blazing fast", "revolutionary").
- State clearly what a Herdr user can do with the tool, not a laundry list of generic features.
2.2. The 1–2 Sentence Rule
Every project entry must be strictly 1 or 2 concise sentences:
- Sentence 1: What the tool specifically does for a Herdr user.
- Sentence 2 (optional): Key capabilities, supported models/agents (Claude, Pi, Codex, OpenCode), or notable workflows.
2.3. Subcategory Header & Table Standards
Every subcategory begins with a count and a 1-sentence summary, followed by a clean 2-column markdown table:
### Multi-agent fleets and supervisors
*20 projects. Higher-level systems that coordinate several agents, roles, tasks, or repositories.*
| Project | What it does |
|---|---|
| [**owner/repo**](https://github.com/owner/repo) | Plain-English explanation of what the tool does and who it is for. |
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.
- 9d ago First seen · 126 lines · 1,201 tokens per session scan A bfb5ae03914c
awesome-herdr AGENTS.md is an instructions file published in the GitHub repository yigitkonur/awesome-herdr (194 stars, last pushed today), licensed MIT. It adds 1,201 tokens to every session, about $0.0060 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.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.