Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Comparison matrix
Highlights show current best; tooltip explains diff/best rules.
Score-basis diff rules / risk tag notes
Start with the matrix. Open this section when you need to understand audit grades, top threats, control gaps, and best-value highlights.
Suggested baseline
Repository: openclaw/skills
Author: zmofei · Source status: Clear source
Expert guidance on validating, optimizing, and ensuring quality of Mapbox styles through validation, accessibility checks, and optimization.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Search to add skills, or paste 2–4 comma-separated slugs.
How differences are detected
A row is marked different when selected skills have distinct values. Only-differences mode hides rows that are identical.
How best values are highlighted
Pre-install score, evidence completeness, and community signal prefer higher values; execution risk and install friction prefer lower values.
How to read risk tags
Risk tags come from SAS-v2.1 public-evidence signals and point to command, network, secret, context, or supply-chain items to review before install.
Selected audit signals
Clawhub Dev Calendar
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
English Phonetics Batch
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
nanobanana2
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Clawhub Dev Calendar | English Phonetics Batch | nanobanana2 |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 85 · Manual review | 85 · Manual review | 85 · Evidence missing |
Score basis | Clear source, High execution risk, OpenClaw | Clear source, High execution risk, Universal | Clear source, High execution risk, OpenClaw |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, human approval gap | prompt injection, tool poisoning, unexpected code execution |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 65% | 65% | 71% |
| Source & provenance | |||
Provenance | openclaw/skills | openclaw/skills | openclaw/skills |
Category | Design & Content | Productivity & Docs | Design & Content |
Freshness | |||
| Risk & permission signals | |||
Audit signals | network access, writes files | network access, runs shell, writes files | needs credentials, network access, runs shell, writes files |
Permission hints | verify source provenance before install | verify source provenance before install | verify source provenance before install |
| Install & compatibility | |||
Supported tools | OpenClaw | Universal | OpenClaw |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 0 | 0 | 0 |
Repository: openclaw/skills
Author: udnerc · Source status: Clear source
Document alpine scenery, summit hikes, and highland culture on film with AI — generate mountain travel videos covering peak photography, trail selection for every fitness level, mountain town exploration, seasonal timing
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 67%
Repository: openclaw/skills
Author: twinsgeeks · Source status: Clear source
Commitment for AI agents — find agents ready for commitment, commitment compatibility, and commitment-level connections.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 67%
Repository: openclaw/skills
Author: bermyboystechsolutions · Source status: Clear source
Generate images with Nano Banana (Gemini 3 Pro Image) and animate them into videos with Veo 3.1.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when creating cloned voices with Alibaba Cloud Model Studio CosyVoice customization models, especially cosyvoice-v3.5-plus or cosyvoice-v3.5-flash, from reference audio and then reusing the returned voice_id in later
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: openclaw/skills
Author: bwbernardweston18 · Source status: Clear source
Tell me what you need and I'll handle the heavy lifting of video editing for you.
Score basis：Clear source · High execution risk · Cursor · Evidence completeness 67%
2026-03-29 |
2026-03-29 |
2026-03-25 |
40 |
50 |
65 |
