agents-docs CLAUDE.md

agents-docs CLAUDE.md is an instructions file for coding agents from Lolaplex/agents-docs. It costs 41 tokens per session, scanned A, original, MIT.

Project instructions for the Lolaplex/agents-docs codebase, including where to look for guidance and which commands run its tests and synchronise bundled files.

In plain words
What is it for?
Reading `AGENTS.md` and `abi/`, running the Python test suite, and synchronising bundled files.
Why use it?
It gives an agent the repository-specific checks and maintenance commands needed for this project.

Instructions file

Install

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.

agentmods
npx agentmods add instructions/lolaplex/agents-docs/claude-md
Clone the repo
git clone --depth 1 https://github.com/Lolaplex/agents-docs

Wrote 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.

agentmods badge for agents-docs CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/lolaplex/agents-docs/claude-md.svg)](https://agentmods.dev/instructions/lolaplex/agents-docs/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/lolaplex/agents-docs/claude-md"><img src="https://agentmods.dev/badge/instructions/lolaplex/agents-docs/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 This file is loaded in full into every session.
When invoked 41 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00041 $0.00041
Opus 5 $0.00020 $0.00020
Sonnet 5 $0.00008 $0.00008
Haiku 4.5 $0.00004 $0.00004

Measured 3d ago against content hash 07dffcd2c088, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agents-docs 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 3d 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.

CLAUDE.md · 6 lines

What it actually says

CLAUDE.md

See AGENTS.md and abi/. Run tests: python tests/run_all_tests.py Sync bundled: python scripts/sync_bundled.py

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.

  1. 3d ago First seen · 6 lines · 41 tokens per session scan A 07dffcd2c088

Subscribe to this mod's changes

agents-docs CLAUDE.md is an instructions file published in the GitHub repository Lolaplex/agents-docs (2 stars, last pushed 10d ago), licensed MIT. It adds 41 tokens to every session, about $0.0002 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.

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