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%
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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
openclaw-optimize
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
Aliyun Zimage Turbo
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Aliyun Qwen Asr Realtime | openclaw-optimize | Aliyun Zimage Turbo |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 85 · Manual review | 85 · Manual review | 85 · Evidence missing |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, OpenClaw | Clear source, High execution risk, Universal |
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, memory context poisoning | prompt injection, tool poisoning, unexpected code execution |
Permission summary | Permission review, Network, Secrets, Command | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 67% | 67% | 69% |
| Source & provenance | |||
Category | Web & Automation | Operations & Infra | Productivity & Docs |
Freshness | 2026-04-01 | 2026-03-29 | 2026-04-01 |
| Risk & permission signals | |||
Audit signals | needs credentials, network access, runs shell, writes files | network access, runs shell, writes files | needs credentials, network access, runs shell, writes files |
| Install & compatibility | |||
Supported tools | Universal | OpenClaw | Universal |
Install friction | 65 | 50 | 65 |
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: 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 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 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 working with OpenSearch vector search edition via the Python SDK (ha3engine) to push documents and run HA/SQL searches.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 69%
