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: 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
Binance Meme Rush
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
skill-seekers
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 | Binance Meme Rush | skill-seekers |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 85 · Manual review | 85 · Manual review | 88 · Evidence missing |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude |
Evidence completeness | 67% | 65% | 71% |
| Source & provenance | |||
Category | Web & Automation | Web & Automation | Dev & Engineering |
Freshness | 2026-04-01 | 2026-04-01 | 2026-04-04 |
| Risk & permission signals | |||
Audit signals | needs credentials, network access, runs shell, writes files | needs credentials, network access, runs shell | needs credentials, network access, runs shell, writes files |
| Install & compatibility | |||
Supported tools | Universal | Universal | Claude, Cursor, Windsurf |
Repository: openclaw/skills
Author: grantmacnamara · Source status: Clear source
Control a Mopidy music system via Mopidy JSON-RPC for everyday listening, queue management, and playback control.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when generating images with Alibaba Cloud Model Studio Z-Image Turbo (z-image-turbo) via DashScope multimodal-generation API.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 69%
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when managing Alibaba Cloud Elastic Compute Service (ECS) via OpenAPI/SDK, including listing or creating instances, starting/stopping/rebooting, managing disks/snapshots/images/security groups/key pairs/ENIs, queryin
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline vectorization pipelines.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
