Borrowing it
Nothing to install: this file belongs to eloylp/agents. 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/eloylp/agents/main/AGENTS.mdgit clone --depth 1 https://github.com/eloylp/agentsWrote 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/eloylp/agents/agents-md)<a href="https://agentmods.dev/instructions/eloylp/agents/agents-md"><img src="https://agentmods.dev/badge/instructions/eloylp/agents/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/eloylp/agents/agents-md"><img src="https://agentmods.dev/badge/instructions/eloylp/agents/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 | $0.05779 | $0.05779 |
| Opus 5.5 | $0.02312 | $0.02312 |
| Sonnet 5.5 | $0.01156 | $0.01156 |
| Haiku 4.5 | $0.00578 | $0.00578 |
Grade A, and why
agents 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Repo-specific guidance for any coding agent (Claude Code, Codex, Cursor, Aider, …) working in this project. Cross-references CLAUDE.md for tool-specific notes and docs/local-models.md for the local-model integration story.
What this repo is
agents is a self-hosted Go daemon that dispatches AI CLIs (Claude Code, Codex, or any CLI pointed at a local LLM via the built-in proxy) to work on GitHub repos. The fleet lives in SQLite and is managed through the dashboard, REST, MCP, or YAML import/export. Agents are bound to repos via labels, GitHub event subscriptions, or cron schedules, and execute inside fresh ephemeral runner containers, which in turn use GitHub MCP tools first and gh fallback for complex local checkout/test/PR loops. The daemon itself is strictly read-only against GitHub.
Agents can also invoke each other at runtime via the reactive inter-agent dispatcher: an agent returns dispatch: [{agent, number, reason}] in its response JSON, the daemon validates against per-agent whitelists and safety limits, then enqueues a synthetic agent.dispatch event that runs the target agent.
Key numbers:
- Language: Go 1.25 (check
go.mod). - Binary entrypoint:
cmd/agents/main.go. - Single-binary daemon deployment; the daemon image is the control plane, while the separate runner image includes the AI CLIs plus git, gh, Go, Rust/Cargo, Node/npm, TypeScript, and Flutter/Dart. GitHub access flows through MCP first, with gh as fallback.
Quick commands
go test ./... # normal development / PR test loop
go test ./... -race # full race pass, normally left to main-branch CI
docker compose pull # pull the published image
docker compose up -d # run the daemon
The supported runtime is Docker Compose, there is no local-binary workflow. On-demand runs go through the running daemon: POST /run (HTTP) or the trigger_agent MCP tool. There is no separate CLI mode for ad-hoc execution, it would be a second runtime that doesn't share the daemon's run-lock or dispatch dedup, opening a memory-write race window.
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 · 178 lines · 5,779 tokens per session scan A 6112343146a6
agents AGENTS.md is an instructions file published in the GitHub repository eloylp/agents (10 stars, last pushed 2mo ago), licensed MIT. It adds 5,779 tokens to every session, about $0.0231 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 2026-08-31.
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).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.