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 skills/leejuoh/claude-code-zero/notebooklm-managernpx skills add LeeJuOh/claude-code-zero --skill notebooklm-managergit clone --depth 1 https://github.com/LeeJuOh/claude-code-zeroWrote 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/leejuoh/claude-code-zero/notebooklm-manager)<a href="https://agentmods.dev/skills/leejuoh/claude-code-zero/notebooklm-manager"><img src="https://agentmods.dev/badge/skills/leejuoh/claude-code-zero/notebooklm-manager.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 | $0.00062 | $0.01948 |
| Opus 5 | $0.00031 | $0.00974 |
| Sonnet 5 | $0.00012 | $0.00390 |
| Haiku 4.5 | $0.00006 | $0.00195 |
Grade A, and why
notebooklm-manager 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.
How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NotebookLM Manager
Query orchestration and notebook registry management.
Instructions
Tool Boundaries
Chrome MCP tools (mcp__claude-in-chrome__*) aren't in this skill's allowed tool set — calling them directly will error. All browser interaction goes through the chrome-mcp-query agent via Task. If the agent returns an error, don't attempt Chrome tools yourself.
0. Data Path Resolution (run first)
Read ~/.claude-code-zero/notebooklm-connector/data-path to obtain DATA_DIR.
The PreToolUse hook automatically detects install scope (project vs user) and writes the correct path.
- The file contains a single line: the absolute path to the data directory.
- Store this as
{DATA_DIR}and use it for ALL subsequent file operations. - File read error → Tell user to restart the session (hook may not be loaded).
0.1 Config
Read {DATA_DIR}/config.json for user preferences:
max_followups: Maximum follow-up queries in coverage analysis (default: 3)max_query_length: Maximum characters per query sent to NotebookLM (default: 40000)language: Preferred response language (null = match user's language)auto_coverage: Enable automatic coverage analysis (default: true)
If the file is missing or a field is absent, use defaults above.
1. Query Detection
Extract from user message:
notebook_id: Which notebook (e.g., "claude-docs")question: What to ask
2. Notebook Lookup
Read {DATA_DIR}/library.json to find notebook URL.
- File not found → Re-run Step 0. If still missing, tell user to restart the session.
- Not found → Show "Did you mean?" with similar IDs
3. Chat History
Default: clearHistory: false (keep previous context).
Set clearHistory: true only when the user explicitly requests it
(e.g., "clear history and query…", "start fresh on this notebook").
3.5 Input Length Validation
NotebookLM has a server-side character limit on chat input (~45,000–50,000 chars). There is no client-side enforcement — the textarea accepts any length, but the backend silently fails to respond beyond the limit, leaving the agent stuck in a polling loop.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 209 lines · 62 tokens per session scan A 1f86be0f7e73
notebooklm-manager is a skill published in the GitHub repository LeeJuOh/claude-code-zero (51 stars, last pushed 4d ago), licensed MIT. It adds 62 tokens to every session and 1,948 once invoked, about $0.0003 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.
Other skills, from other repositories
mcporter
List, auth, and call MCP servers/tools from the terminal.
article-writing
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
complete-partial-pr
Evaluate and complete an issue or PR where the submitted patch fixes only a narrow symptom of the reported pain point. Use when a contribution may miss adjacent integration surfaces, provider/spec semantics, roundtrip behavior, tests, docs, or historical maintainer decisions.
deploy-docker-compose
Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…
mapping-to-snomed
Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…