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
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
Aliyun Opensearch Search
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
Sugar Glider — Adopt a Sugar Glider. Exotic Animal. 蜜袋鼯。Petauro.
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | TwelveLabs Video Intelligence | Aliyun Opensearch Search | Sugar Glider — Adopt a Sugar Glider. Exotic Animal. 蜜袋鼯。Petauro. |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Audit grade | C · Review first | D · Limited evidence | C · Review first |
Evidence confidence | 67% | 69% | 67% |
| Source & provenance | |||
Freshness | 2026-04-03 | 2026-04-02 | 2026-04-01 |
| Risk & trust | |||
Audit signals | needs credentials, network access, runs shell, writes files | network access, runs shell, writes files | needs credentials, network access, runs shell, writes files |
Permission hints | requires binary: python3, verify source provenance before install | verify source provenance before install | verify source provenance before install |
| Install & compatibility | |||
Supported tools | OpenClaw | Claude, Codex | OpenClaw |
Install friction | 65 | 50 | 65 |
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 risk signals · Universal
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline vectorization pipelines.
Score basis：Clear source · High risk signals · Universal
Repository: openclaw/skills
Author: eternal0404 · Source status: Clear source
The all-in-one master skill — unified interface for every capability domain.
Score basis：Clear source · High risk signals · Claude
Repository: openclaw/skills
Author: neroagent · Source status: Clear source
Core memory resilience layer: WAL (Write-Ahead Log), Working Buffer, and three-layer memory integration.
Score basis：Clear source · Risk needs review · Claude
