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 skills add mathruffian-dot/claude-code-lazy-packs --skill 01-notebooklmgit clone --depth 1 https://github.com/mathruffian-dot/claude-code-lazy-packsWrote 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/skills/mathruffian-dot/claude-code-lazy-packs/01-notebooklm)<a href="https://agentmods.dev/skills/mathruffian-dot/claude-code-lazy-packs/01-notebooklm"><img src="https://agentmods.dev/badge/skills/mathruffian-dot/claude-code-lazy-packs/01-notebooklm/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/skills/mathruffian-dot/claude-code-lazy-packs/01-notebooklm"><img src="https://agentmods.dev/badge/skills/mathruffian-dot/claude-code-lazy-packs/01-notebooklm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
SkillSpector: 1 finding, up to low
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- low MCP Rug Pull · line 13 pip install without ==version installs the latest release, which could include malicious changes.Fix: Pin the version: pip install package==1.2.3
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 | $0.00025 | $0.00320 |
| Opus 5 | $0.00013 | $0.00160 |
| Sonnet 5 | $0.00005 | $0.00064 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
cc-notebooklm 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 6d 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.
What it actually says
連接 NotebookLM（Claude Code 版）
步驟
1. 安裝
uv tool install notebooklm-mcp-cli
# 或 pip install notebooklm-mcp-cli
nlm --version
2. 登入
nlm login
（瀏覽器會開啟 Google 登入頁面）
驗證：
nlm doctor
3. 註冊 MCP
nlm setup add claude-code
（自動寫入 ~/.claude.json；專案層級則是 .mcp.json）
4. 驗證
重啟 Claude Code 後，問：「請列出我所有的 NotebookLM 筆記本。」
回報格式：nlm 版本、登入狀態（nlm doctor）、MCP 設定、筆記本讀取測試結果。
如果失敗
- 手動編輯
~/.claude.json（或專案的.mcp.json）的mcpServers區塊 - 移除：
nlm setup remove claude-code；uv tool uninstall notebooklm-mcp-cli；nlm logout - 從步驟 1 重來
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.
- 6d ago Changed scan B → A 6a741e6fb37c
- 11d ago First seen · 43 lines · 25 tokens per session scan B 1b45e6b3c00e
cc-notebooklm is a skill published in the GitHub repository mathruffian-dot/claude-code-lazy-packs (248 stars, last pushed 7d ago), licensed MIT. It adds 25 tokens to every session and 320 once invoked, about $0.0001 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 2026-08-30.
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