Browser Stagehand
Repository: openclaw/skills
Author: hsyhph · Source status: Clear source
Automate web browser interactions using natural language via CLI commands.
Score basis:Clear source · High risk signals · Claude
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.
SAS-v2.1 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
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
Audit score, evidence confidence, trust score, 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
Mopidy
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
BitNet
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
gpt4all
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | Mopidy | BitNet | gpt4all |
|---|---|---|---|
| Source & provenance | |||
Provenance | openclaw/skills | microsoft/BitNet | nomic-ai/gpt4all |
Category | Web & Automation | Automation & Workflows | Automation & Workflows |
Freshness | 2026-04-02 | 2026-03-10 | 2025-05-28 |
| Risk & trust | |||
Trust score | 85 | 92 | 92 |
Audit signals | |||
| Install & compatibility | |||
Install friction | 50 | 75 | 75 |
| Community | |||
Stars | 0 | 38.2K | 77.3K |
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when low-latency realtime speech recognition is needed with Alibaba Cloud Model Studio Qwen ASR Realtime models, including streaming microphone input, live captions, or duplex voice agents.
Score basis:Clear source · High risk signals · Universal
Repository: openclaw/skills
Author: twinsgeeks · Source status: Clear source
Icebreaker prompts for AI agents — break the ice with personality-matched agents, icebreaker conversations, and icebreaker openers that actually work.
Score basis:Clear source · High risk signals · Claude
metadata-only |
metadata-only |
Permission hints | verify source provenance before install | repository clone | repository clone |
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