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
Repository: openclaw/skills
Author: lookupmark · Source status: Clear source
Find and send local files to a chat channel (Telegram, Discord, WhatsApp, Signal, Slack).
Score basis：Clear source · High risk signals · OpenClaw
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
OMNI — All-In-One Master Skill
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
Aliyun Qwen Rerank
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, shell without guardrails, network without allowlist
TwelveLabs Video Intelligence
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | OMNI — All-In-One Master Skill | Aliyun Qwen Rerank | TwelveLabs Video Intelligence |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, identity privilege abuse, data exfiltration |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, shell without guardrails, network without allowlist | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Secrets, Command | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence confidence | 67% | 65% | 67% |
| Source & provenance | |||
Category | Data & Analytics | Knowledge & RAG | Knowledge & RAG |
Freshness | 2026-04-02 | 2026-04-02 | 2026-04-03 |
| Risk & trust | |||
Trust score | 88 | 85 | 85 |
Audit signals | needs credentials, network access, runs shell, writes files | network access, runs shell | needs credentials, network access, runs shell, writes files |
| Install & compatibility | |||
Supported tools | Claude, Codex, OpenClaw | Universal | OpenClaw |
Install friction | 65 | 50 | 65 |
Repository: openclaw/skills
Author: twinsgeeks · Source status: Clear source
Adopt a virtual Sugar Glider exotic animal at animalhouse.ai.
Score basis：Clear source · High risk signals · OpenClaw
Repository: openclaw/skills
Author: lanyasheng · Source status: Clear source
当需要为目标 skill 生成改进候选、把上次失败信息注入下一轮生成、或分析历史记忆模式来避免重复失败时使用。支持 --trace 注入失败上下文。不用于打分（用 improvement-discriminator）或评估（用 improvement-learner）。
Score basis：Clear source · High risk signals · OpenClaw
Permission hints | verify source provenance before install | verify source provenance before install | requires binary: python3, verify source provenance before install |
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