Registry › Compare › Notebooklm Py vs Vercel Skills

Notebooklm Py vs Vercel Skills

Both are Grade A and 1.8 points apart, so choose on what you weigh most. Notebooklm Py leads on supply-chain integrity and transparency; Vercel Skills leads on maintenance and adoption.

A Notebooklm Py 89.0

Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to Gemini Notebook's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.

teng-lin/notebooklm-py · #6 overall · #6 Agent Skills · coverage B (3/5)

Choose Notebooklm Py if supply-chain integrity and transparency matter most.

  • +0.8Transparency: OSSF Scorecard 5.6 against 4.7
  • +0.7Safety / Integrity: OSSF Scorecard 5.6 against 4.7
A Vercel Skills 90.8

The open agent skills tool - npx skills

vercel-labs/skills · #2 overall · #2 Agent Skills · coverage B (3/5)

Choose Vercel Skills if maintenance and adoption matter most.

  • +3.7Adoption: 5.0M weekly downloads against 27.4k
  • +1.6Maintenance: last push today, against 2d ago

Where they differ

19.1
Safety / IntegrityNotebooklm Py +0.7
18.4
13.3
TransparencyNotebooklm Py +0.8
12.5
18.1
MaintenanceVercel Skills +1.6
19.7
16.2
AdoptionVercel Skills +3.7
19.9
+4.3
Runtime calibrationNotebooklm Py +2.0
+2.3

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of Notebooklm Py and Vercel Skills, two Agent Skills projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.

Full evidence

Signal Notebooklm Pyteng-lin/notebooklm-py Vercel Skillsvercel-labs/skills
HVTrust score 89.0 90.8
Evidence grade A A
Coverage grade B B
Overall rank #6 #2
Rank in Agent Skills #6 #2
GitHub stars 20.2k 38.8k
Last updated 2d ago today
Build provenance Yes Yes
OSSF Scorecard 5.6 / 10 4.7 / 10
License MIT MIT
Downloads 27k/wk 5.0M/wk
Trust dimensions (points earned)
Safety / integrity / 25 19.1 18.4
Identity & provenance / 18 18.0 18.0
Transparency / 17 13.3 12.5
Maintenance / 20 18.1 19.7
Adoption / 20 16.2 19.9
Runtime capability surface (full matrix)
MCP server Implemented —
External providers — —
Requires API keys No No
Plugin surface — —
Provenance drift Match Match
Open in the live compare tool → Notebooklm Py profile Vercel Skills profile More Agent Skills →

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →