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 Jacopalas/agentic-ai-palas --skill removing-notebooklmgit clone --depth 1 https://github.com/Jacopalas/agentic-ai-palasWrote 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/jacopalas/agentic-ai-palas/removing-notebooklm)<a href="https://agentmods.dev/skills/jacopalas/agentic-ai-palas/removing-notebooklm"><img src="https://agentmods.dev/badge/skills/jacopalas/agentic-ai-palas/removing-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/jacopalas/agentic-ai-palas/removing-notebooklm"><img src="https://agentmods.dev/badge/skills/jacopalas/agentic-ai-palas/removing-notebooklm.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00047 | $0.00867 |
| Opus 5 | $0.00023 | $0.00434 |
| Sonnet 5 | $0.00009 | $0.00173 |
| Haiku 4.5 | $0.00005 | $0.00087 |
Grade A, and why
removing-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 10d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/palas-basic:removing-notebooklm — Remove NotebookLM Watermark
IMPORTANT: Before starting execution, inform the user: "ESTOY EJECUTANDO EL SKILL /palas-basic:removing-notebooklm"
Remove the NotebookLM watermark from PDFs and images automatically.
Usage
/palas:removing-notebooklm <file> [--output <path>]
Arguments:
file(Required): Input file to process- PDF: Multi-page presentations (e.g.,
presentation.pdf) - PNG/JPG: Single images/infographics (e.g.,
infographic.png)
- PDF: Multi-page presentations (e.g.,
--output(Optional): Custom output path (default:{name}_clean.{ext})
No argument = show this usage.
Environment Setup
This skill uses zero-footprint dependency management:
- Python scripts: Executed via
uv runwith PEP 723 inline metadata — norequirements.txtor.venvneeded
Prerequisites (must be installed on the system):
No per-project setup required. Dependencies are cached globally and resolved on first run.
Dependencies (declared inline in script)
Pillow— Image processingpymupdf— PDF processingopencv-python— Inpainting algorithmnumpy— Array operations
Command
Replace <plugin-path> with the actual path to this plugin's installation directory.
# Default output (adds _clean suffix)
uv run <plugin-path>/skills/removing-notebooklm/scripts/removing-notebooklm.py "<file>"
# Custom output path
uv run <plugin-path>/skills/removing-notebooklm/scripts/removing-notebooklm.py "<file>" --output "<output>"
Examples
/palas:removing-notebooklm presentation.pdf
-> Creates presentation_clean.pdf
/palas:removing-notebooklm infographic.png
-> Creates infographic_clean.png
/palas:removing-notebooklm input.pdf --output final.pdf
-> Creates final.pdf
Output Format
Processing PDF: presentation.pdf
Pages: 12
Page 1/12
Page 2/12
...
Page 12/12
Saved: presentation_clean.pdf
Done
What ships with it
1 file 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.
- 10d ago First seen · 124 lines · 47 tokens per session scan A 6820ff8a5385
removing-notebooklm is a skill published in the GitHub repository Jacopalas/agentic-ai-palas (2 stars, last pushed 5mo ago), licensed MIT. It adds 47 tokens to every session and 867 once invoked, about $0.0002 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 2026-08-31.
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