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
Memory Stack Core
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
agent-memory-systems
Execution risk：High
Threat tags：data exfiltration, memory context poisoning, human approval gap
Control gaps：missing license, network without allowlist, no human approval
| Dimension | OMNI — All-In-One Master Skill | Memory Stack Core | agent-memory-systems |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 88 · Manual review | 85 · Manual review | 79 · Manual review |
Score basis | Clear source, High execution risk, Claude | Clear source, High execution risk, Claude | Clear source, High execution risk, Claude |
Execution risk | High | High | High |
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, identity privilege abuse, data exfiltration | data exfiltration, memory context poisoning, human approval gap |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails | missing license, network without allowlist, no human approval |
Permission summary | Permission review, Network, Secrets, Command | Permission review, Network, Secrets, Command | Network, Command |
Evidence completeness | 67% | 71% | 65% |
| Source & provenance | |||
Provenance | openclaw/skills | openclaw/skills | davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-memory-systems |
Category | Data & Analytics | Knowledge & RAG | Knowledge & RAG |
Freshness | |||
| Risk & permission signals | |||
Audit signals | needs credentials, network access, runs shell, writes files | needs credentials, writes files | No explicit signals |
Permission hints | verify source provenance before install | verify source provenance before install | registry access, remote metadata pull, runtime dependencies may be required |
| Install & compatibility | |||
Supported tools | Claude, Codex, OpenClaw | Claude, OpenClaw | Claude, Codex, Cursor, Universal |
Install method | script-backed | script-backed | registry-install |
Install friction | |||
| Community | |||
Stars | 0 | 0 | 19.9K |
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: 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: 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: dexploarer · Source status: Clear source
Crypto market rankings and leaderboards.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
2026-04-02 |
2026-04-02 |
2026-02-04 |
65 |
55 |
50 |
