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/nel-neru/libraium/claude-mdgit clone --depth 1 https://github.com/nel-neru/LibrAIumWrote 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/nel-neru/libraium/claude-md)<a href="https://agentmods.dev/instructions/nel-neru/libraium/claude-md"><img src="https://agentmods.dev/badge/instructions/nel-neru/libraium/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 | $0.03266 | $0.03266 |
| Opus 5 | $0.01633 | $0.01633 |
| Sonnet 5 | $0.00653 | $0.00653 |
| Haiku 4.5 | $0.00327 | $0.00327 |
Grade A, and why
LibrAIum 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.
This is a copy
94% identical to LibrAIum AGENTS.md — 12 lines 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.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Language
Always converse with the user in Japanese — replies, explanations, plans, questions, and progress reports. Keep repository artifacts in English: code, comments, commit messages, README/docs, and identifiers (the repo is published publicly in English; the owner reads both).
What LibrAIum Is
A local-first Tauri v2 + Svelte 5 desktop app for curating best-practice GitHub repositories, storing everything as YAML-frontmatter Markdown files in a local git repository, and exposing the library to Claude Code through an MCP server. The authoritative spec is LibrAIum_完全設計書_v1.0.md (Japanese). v1.0 MVP is fully implemented.
Commands
npm run tauri dev # run the desktop app (Rust compiles on first run)
npm run tauri build # package release build
npm run build # frontend-only production build (vite)
npm test # frontend unit tests (markdown-renderer hardening, node --test)
cd src-tauri && cargo test # Rust unit tests — all core logic lives here
cd src-tauri && cargo test store # run one module's tests (store/search/gitops/github/…)
cd mcp-server && npm test # store.js unit tests + MCP stdio smoke test (all 8 tools)
bash scripts/make-icons.sh # regenerate icons from scripts/generate-icons.mjs (macOS)
node scripts/register-mcp.mjs # user-scope MCP registration plan (--yes to apply, --doctor to diagnose)
Rust was installed via Homebrew; if cargo is missing from PATH: export PATH="/opt/homebrew/bin:$PATH".
Note: cargo test/cargo build require dist/ to exist (Tauri's generate_context! embeds it) — run npm run build first on a fresh clone.
Architecture
Two independent consumers share one data format:
- Desktop app — Svelte 5 GUI (
src/) → Tauri commands (src-tauri/src/commands.rs) → Rust core modules. - MCP server (
mcp-server/, Node stdio) — reads/writes the samedata/directory directly.
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.
- 3d ago First seen · 81 lines · 3,266 tokens per session scan A b2fe82938c1a
LibrAIum CLAUDE.md is an instructions file published in the GitHub repository nel-neru/LibrAIum (0 stars, last pushed today), licensed MIT. It adds 3,266 tokens to every session, about $0.0163 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to LibrAIum AGENTS.md, differing in 12 lines, and is treated as a copy.
Other instructions, from other repositories
neurostack CLAUDE.md
Instructions for raphasouthall/neurostack, covering neurostack - claude code guide, quick reference, installation, mcp server (recommended for claude code) and openai-compatible api.
Vault-Agent-Memory AGENTS.md
Instructions for zycaskevin/Vault-Agent-Memory, covering agent instructions for vault agent memory, common install architecture, second decision: optional features, first decision: database scope and safe agent workflow.
basic-memory CLAUDE.md
Claude Code instructions for basicmachines-co/basic-memory, a project described as: AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN.
rag-rat AGENTS.md
Instructions for cq27-dev/rag-rat, covering agents.md, prefer the rag-rat mcp for code browsing, record durable learnings as rag-rat memories, repo orientation and worktree correctness.
codex-image-context-runtime AGENTS.md
Instructions for shixinnt/codex-image-context-runtime, covering agents.md, public boundary, runtime contract and changes.
blz AGENTS.md
Instructions for outfitter-dev/blz, covering blz repository instructions for ai agents, important, working memory, use blz and 🚀 quick start for agents.