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.
npx agentmods add instructions/eloylp/agents/claude-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/claude-md)<a href="https://agentmods.dev/instructions/eloylp/agents/claude-md"><img src="https://agentmods.dev/badge/instructions/eloylp/agents/claude-md.svg" alt="Measured on agentmods" 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 | $0.05296 | $0.05296 |
| Opus 5 | $0.02648 | $0.02648 |
| Sonnet 5 | $0.01059 | $0.01059 |
| Haiku 4.5 | $0.00530 | $0.00530 |
Grade A, and why
agents CLAUDE.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.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Project Overview
agents is a self-hosted Go daemon that dispatches AI CLIs (Claude, Codex) to work on GitHub repos. The fleet lives in SQLite and is managed through the dashboard, REST, MCP, or YAML import/export; YAML is a portable strategy format, not the only configuration path. Agents are bound to repos via labels, GitHub event subscriptions (event-driven), and/or cron schedules (autonomous). GitHub operations happen through the AI backend inside a fresh runner container: GitHub MCP tools are preferred, with gh available as fallback for complex local checkout/test/PR loops. The daemon itself is read-only against GitHub. The daemon also ships a built-in Anthropic↔OpenAI translation proxy so the claude CLI can be routed through any OpenAI-compatible backend (local llama.cpp, hosted Qwen, vLLM, etc.), see docs/local-models.md. Agents can additionally invoke each other at runtime via the reactive inter-agent dispatcher (see Architecture Notes).
Directory Structure
cmd/agents/main.go # Daemon entry point + --db / legacy --import flags
internal/
fleet/ # Domain entities: Workspace, Agent, Prompt, Skill, Guardrail, Repo, Backend, Binding (zero deps)
config/ # Normalized runtime config types, YAML parsing, defaults, validation (uses fleet)
ai/ # Prompt composition + command-based CLI runner (per-backend env)
anthropic_proxy/ # Built-in Anthropic↔OpenAI Chat Completions translation proxy
observe/ # Observability store: events, traces, dispatch graph, SSE hubs; run attribution resolution including artifact-chain walk (attribution.go, attribution_artifacts.go)
scheduler/ # Cron scheduler + agent memory (SQLite-backed)
runtime/ # Runner interface + ContainerSpec/ExitStatus types, Docker implementation, per-backend container setup (env, scripts, paths)
backends/ # Backend discovery: CLI probing, GitHub MCP health checks, tool diagnostics, orphan detection
service/ # Mutable fleet/config use cases shared by REST and MCP; owns use-case validation and transaction orchestration
store/ # SQLite persistence boundary: migrations, config import/load, tx-aware primitives, DB-level safety checks
workflow/ # Event routing engine, durable event queue (persist-on-push + replay), processor, dispatcher
daemon/ # Daemon as a single composed unit: lifecycle, router, /status, /run, proxy + UI + MCP mounts
daemon/observe/ # Observability HTTP handlers (events, traces, graph, dispatches, memory, SSE)
daemon/config/ # /config snapshot, /export, /import HTTP handlers and methods; token budget CRUD and leaderboard endpoints
daemon/fleet/ # Agents/skills/backends CRUD + GET /agents fleet view + orphans (incl. /agents/orphans/status)
daemon/repos/ # Repos + per-binding HTTP CRUD handlers and methods
daemon/runners/ # /runners listing + delete + retry (event_queue × traces JOIN; in-flight + completed runs)
webhook/ # GitHub webhook receiver only: HMAC verification, delivery dedupe, /webhooks/github event parsing
mcp/ # MCP server exposing fleet-management tools at /mcp
ui/ # Embedded Next.js web dashboard (served at /ui/)
logging/ # zerolog setup
docs/ # Long-form docs: quickstart, configuration, events, dispatch, API, local-models, security
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.
- 4d ago First seen · 146 lines · 5,296 tokens per session scan A 6da68d820f03
agents CLAUDE.md is an instructions file published in the GitHub repository eloylp/agents (9 stars, last pushed 6d ago), licensed MIT. It adds 5,296 tokens to every session, about $0.0265 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 2026-08-31.
Other instructions, from other repositories
kungfu copilot-instructions.md
Copilot instructions for kungfu-systems/kungfu: Read and follow AGENTS.md before proposing or running changes. It is the shared agent router for this repository, including the canonical Shifu development and build entrypoint.
ideate AGENTS.md
Instructions for paultyng/ideate, covering agents.md, build features as mcp tools first, ui second, when to add ui and pattern.
omk CLAUDE.md
Claude Code instructions for dmae97/omk, covering claude.md, precedence (read this first), omk runtime map (what you're operating inside), this repo: open-multi-agent-kit / omk monorepo and build / test / check commands.
orchestrator CLAUDE.md
Claude Code instructions for c9r-io/orchestrator, covering claude.md, forbidden operations, never delete the runtime database and starting a daemon.
icron CLAUDE.md
Instructions for zebbern/icron, covering icron, architecture, key directories, built-in tools and commands.
workstreams disposable.instructions.md
Guidelines for writing code using IDisposable.