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
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
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 | info-research-report | TwelveLabs Video Intelligence |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Evidence confidence | 67% | 71% | 67% |
| Source & provenance | |||
Category | Data & Analytics | Data & Analytics | Knowledge & RAG |
Freshness | 2026-04-02 | 2026-04-04 | 2026-04-03 |
| Risk & trust | |||
Trust score | 88 | 85 | 85 |
Permission hints | verify source provenance before install | verify source provenance before install | requires binary: python3, verify source provenance before install |
| Install & compatibility | |||
Supported tools | Claude, Codex, OpenClaw | OpenClaw | OpenClaw |
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
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: jpengcheng523-netizen · Source status: Clear source
Analyze resource usage patterns and predict future scaling needs using trend analysis and forecasting methods for capacity planning and auto-scaling decisions.
Score basis：Clear source · High risk signals · Universal
