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 execution risk · Claude · Evidence completeness 69%
Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Selected skills (2/4)
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: hsyhph · Source status: Clear source
Automate web browser interactions using natural language via CLI commands.
Score basis:Clear source · High execution risk · Claude · Evidence completeness 69%
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
Aliyun Qwen Asr Realtime
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
info-research-report
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | Aliyun Qwen Asr Realtime | info-research-report |
|---|---|---|
| Pre-install decision | ||
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, OpenClaw |
Evidence completeness | 67% | 71% |
| Source & provenance | ||
Category | Web & Automation | Data & Analytics |
Freshness | 2026-04-01 | 2026-04-04 |
| Install & compatibility | ||
Supported tools | Universal | OpenClaw |
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when managing Alibaba Cloud RDS Supabase (RDS AI Service 2025-05-07) via OpenAPI, including creating, starting/stopping/restarting instances, resetting passwords, querying endpoints/auth/storage, configuring auth/RAG
Score basis:Clear source · High execution risk · Universal · Evidence completeness 69%
Repository: openclaw/skills
Author: dexploarer · Source status: Clear source
Real-time meme token lists from Pump.fun, Four.meme and other launchpads.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when multimodal embeddings are needed from Alibaba Cloud Model Studio models such as `qwen3-vl-embedding` for image, video, and text retrieval, cross-modal search, clustering, or offline vectorization pipelines.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 69%
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when real-time speech synthesis is needed with Alibaba Cloud Model Studio Qwen TTS Realtime models.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when live speech translation is needed with Alibaba Cloud Model Studio Qwen LiveTranslate models, including bilingual meetings, realtime interpretation, and speech-to-speech or speech-to-text translation flows.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%