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: 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%
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
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
ELM-Python-Client
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
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 | OMNI — All-In-One Master Skill | ELM-Python-Client | skill-seekers |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 88 · Manual review | 79 · Manual review | 88 · Evidence missing |
Score basis | Clear source, High execution risk, Claude | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude |
Execution risk | High | High | High |
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Secrets, Command | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 67% | 67% | 71% |
| Source & provenance | |||
Provenance | openclaw/skills | IBM/ELM-Python-Client | openclaw/skills |
Category | Data & Analytics | Automation & Workflows | Dev & Engineering |
Freshness | |||
| Risk & permission signals | |||
Audit signals | needs credentials, network access, runs shell, writes files | metadata-only | needs credentials, network access, runs shell, writes files |
Permission hints | verify source provenance before install | repository clone | verify source provenance before install |
| Install & compatibility | |||
Supported tools | Claude, Codex, OpenClaw | Universal | Claude, Cursor, Windsurf |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 0 | 46 | 0 |
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 execution risk · OpenClaw · Evidence completeness 67%
Repository: openclaw/skills
Author: james-le-twelve-labs · Source status: Clear source
Search inside videos, generate summaries, and analyze video content using TwelveLabs video understanding AI.
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 67%
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 execution risk · Claude · Evidence completeness 69%
Repository: openclaw/skills
Author: zaferliu · Source status: Clear source
信息调研报告自动化工作流。一键完成：多源搜索 → 深度挖掘 → 政府风格 DOCX 报告生成 → 邮件发送。
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 71%
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 execution risk · Universal · Evidence completeness 63%
2026-04-02 |
2026-03-03 |
2026-04-04 |
65 |
75 |
65 |
