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/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/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/claude-md"><img src="https://agentmods.dev/badge/instructions/eloylp/agents/claude-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 | $0.05296 | $0.05296 |
| Opus 5.5 | $0.02118 | $0.02118 |
| Sonnet 5.5 | $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 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 — 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.
- 1mo 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 (10 stars, last pushed 2mo ago), licensed MIT. It adds 5,296 tokens to every session, about $0.0212 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.
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