Registry › Compare › MisakaNet vs Notebooklm Py

MisakaNet vs Notebooklm Py

Both are Grade A and 3.1 points apart, so choose on what you weigh most. MisakaNet leads on supply-chain integrity and maintenance; Notebooklm Py leads on adoption.

A MisakaNet 86.8

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. | https://misakanet.org

Ikalus1988/MisakaNet · #8 overall · #8 Agent Skills · coverage B (3/5)

Choose MisakaNet if supply-chain integrity and maintenance matter most.

+1.4Safety / Integrity: 100% of recent commits signed, against 69%
+1.1Maintenance

A Notebooklm Py 89.9

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 · #4 overall · #4 Agent Skills · coverage B (3/5)

Choose Notebooklm Py if adoption matters most.

+5.7Adoption: 38.2k weekly downloads against 1.2k

Where they differ

20.2

Safety / IntegrityMisakaNet +1.4

18.8

13.8

TransparencyNotebooklm Py +0.1

13.9

20.0

MaintenanceMisakaNet +1.1

18.9

10.7

AdoptionNotebooklm Py +5.7

16.4

+4.1

Runtime calibrationMisakaNet +0.2

+3.9

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of MisakaNet and Notebooklm Py, 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	MisakaNetIkalus1988/MisakaNet	Notebooklm Pyteng-lin/notebooklm-py
HVTrust score	86.8	89.9
Evidence grade	A	A
Coverage grade	B	B
Overall rank	#8	#4
Rank in Agent Skills	#8	#4
GitHub stars	544	19.8k
Last updated	today	today
Build provenance	Yes	Yes
OSSF Scorecard	6.2 / 10	6.3 / 10
License	Apache-2.0	MIT
Downloads	1k/wk	38k/wk
Trust dimensions (points earned)
Safety / integrity / 25	20.2	18.8
Identity & provenance / 18	18.0	18.0
Transparency / 17	13.8	13.9
Maintenance / 20	20.0	18.9
Adoption / 20	10.7	16.4
Runtime capability surface (full matrix)
MCP server	Implemented	Implemented
External providers	2 — Anthropic, DeepSeek	—
Requires API keys	No	No
Plugin surface	plugins	—
Provenance drift	Match	Match

Open in the live compare tool → MisakaNet profile Notebooklm Py 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 →