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 AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-open-notebookgit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-SkillsWrote 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/alterlab-ieu/alterlab-academic-skills/alterlab-open-notebook)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-open-notebook"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-open-notebook/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/alterlab-ieu/alterlab-academic-skills/alterlab-open-notebook"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-open-notebook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 12 findings, up to medium
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 →
- medium Data Exfiltration · line 42 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 73 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 87 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 104 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 138 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 151 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 157 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 169 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 176 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 186 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 206 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 215 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00179 | $0.03914 |
| Opus 5.5 | $0.00072 | $0.01566 |
| Sonnet 5.5 | $0.00036 | $0.00783 |
| Haiku 4.5 | $0.00018 | $0.00391 |
Grade A, and why
alterlab-open-notebook scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -o docker-compose.yml https://raw.githubusercontent.com/lfnovo/open-notebook/main/docker-compose.yml How it starts
The opening of the file, as written. The whole thing — 332 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Open Notebook
Overview
Open Notebook is an open-source (MIT), self-hosted alternative to Google's NotebookLM that lets researchers organize materials, generate AI-powered insights, create podcasts, and hold context-aware conversations with their documents. It exposes a full REST API, works with 18+ AI providers through the Esperanto library, and runs entirely on your own infrastructure. This skill targets the 1.x line (v1.14 as of 2026-09; Docker image lfnovo/open_notebook:v1-latest).
Key advantages over NotebookLM:
- Full REST API for programmatic access and automation
- Choice of 18+ AI providers (not locked to Google models), including fully local Ollama / LM Studio
- Multi-speaker podcast generation with 1-4 customizable speakers
- Storage stays on your own machine or server
- Open source and extensible (MIT license)
Data privacy: self-hosting keeps notebooks and files local, but source text is still sent to whichever cloud model provider you configure. For sensitive or IRB-restricted material, use a local provider (Ollama, LM Studio) or one covered by your data agreements.
Repository: https://github.com/lfnovo/open-notebook
When to Use This Skill
Use this skill when the user wants to:
- Stand up a private, self-hosted NotebookLM-style research workspace
- Ingest PDFs, URLs, audio/video, or text into notebooks and chat with them using source context
- Search a personal research corpus with full-text or vector search
- Generate multi-speaker podcasts or custom transformations (summaries, method extraction) from sources
- Automate any of the above through the REST API
Does NOT Trigger
| Scenario | Use Instead |
|---|---|
| One-shot conversion of a file to Markdown (no notebook, chat, or search) | alterlab-markitdown |
| Located, cross-section Q&A inside a single PDF | alterlab-pdf-explore |
| A one-row-per-paper evidence table across many PDFs | alterlab-pdf-extract |
| Managing references, DOIs, or BibTeX in a Zotero library | alterlab-pyzotero |
| Systematic searching and screening of new literature | alterlab-literature-review |
What ships with it
9 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.
- evals/evals.json 5.1 KB
- references/api_reference.md 14 KB
- references/architecture.md 7.3 KB
- references/configuration.md 7.8 KB
- references/examples.md 10 KB
- scripts/chat_interaction.py 7.7 KB runs code
- scripts/notebook_management.py 4.5 KB runs code
- scripts/source_ingestion.py 5.5 KB runs code
- scripts/test_open_notebook_skill.py 16 KB runs code
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.
- 1mo ago Changed · +41 lines · +6 tokens per session df49404a5aca
- 1mo ago First seen · 291 lines · 173 tokens per session scan A 8b86973fae31
alterlab-open-notebook is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (78 stars, last pushed 2d ago), licensed MIT. It adds 179 tokens to every session and 3,914 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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