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/booklib-ai/booklib/claude-mdgit clone --depth 1 https://github.com/booklib-ai/booklibWrote 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/booklib-ai/booklib/claude-md)<a href="https://agentmods.dev/instructions/booklib-ai/booklib/claude-md"><img src="https://agentmods.dev/badge/instructions/booklib-ai/booklib/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 | $0.00315 | $0.00315 |
| Opus 5 | $0.00158 | $0.00158 |
| Sonnet 5 | $0.00063 | $0.00063 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
booklib 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.
This is a copy
91% identical to booklib AGENTS.md — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
BookLib
Context engineering tool for AI coding assistants. Detects post-training knowledge gaps, resolves them via MCP.
Stack
JavaScript (Node.js >= 18, ES modules). No build step. No TypeScript.
Key Directories
bin/— CLI (booklib.js) and MCP server (booklib-mcp.js)lib/engine/— core: indexer, searcher, gap-detector, context-map, registrieslib/wizard/—booklib initinteractive wizardhooks/— PreToolUse/PostToolUse hooks for Claude Codeskills/— 23 bundled skills (SKILL.md files)tests/— 767 tests vianode:test
Commands
npm install— install depsnpm test— run all tests (must pass before committing)npm link— link for local CLI testingnode bin/booklib.js <cmd>— run CLI from source
Rules
- Always add a test when fixing a bug
- Never write to CLAUDE.md or other agent config files from code — MCP handles discovery
- MCP tools: lookup, review, remember, verify, guard (5 exposed, old names kept as aliases)
- Keep CLAUDE.md under 30 lines — point to skills for depth
BookLib: knowledge tools for this project. Read skills/booklib-mcp-guide/SKILL.md before first use.
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 · 29 lines · 315 tokens per session scan A c93c2cc37211
booklib CLAUDE.md is an instructions file published in the GitHub repository booklib-ai/booklib (38 stars, last pushed 4mo ago), licensed MIT. It adds 315 tokens to every session, about $0.0016 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to booklib AGENTS.md, differing in 1 line, and is treated as a copy.
Other instructions, from other repositories
memorix CLAUDE.md
Claude Code instructions for AVIDS2/memorix, covering memorix - agent instructions for claude code, using memorix memory tools, when to search memory, when to store memory and when to resolve memory.
memorix GEMINI.md
Gemini CLI instructions for AVIDS2/memorix, covering memorix - cross-agent memory rules, session start - bind project, then load context, during session - capture important context, architecture & decisions and bug fixes & problem solving.
plan-forge caching.instructions.md
Caching patterns for .NET — IDistributedCache, Redis, in-memory, cache-aside, TTL strategies.
plan-forge context-fuel.instructions.md
Context management for AI agents — recognize context degradation, prioritize instructions, bridge sessions with memory.
Iron-mem CLAUDE.md
Instructions for BMC-INC/Iron-mem, a project described as: Agent-native memory infrastructure for AI coding assistants. Governed session capture, LLM compression, hybrid retrieval (FTS + vector + RRF), temporal knowledge graph, content-addressed storage, compliance-grade classification. Single Rust binary, MCP server.…
repomemory CLAUDE.md
Instructions for DanielGuru/repomemory, covering repomemory — agent instructions, repository memory (repomemory), what this is, architecture and key technical decisions.