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
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
cymbal-air-toolbox-demo
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
cline
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
rag_demos
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | cymbal-air-toolbox-demo | cline | rag_demos |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 82 · Manual review | 92 · Manual review | 82 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, memory context poisoning |
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, Command | Permission review, Network, Command | Permission review, Network, Command |
Evidence completeness | 67% | 67% | 67% |
| Source & provenance | |||
Provenance | GoogleCloudPlatform/cymbal-air-toolbox-demo | cline/cline | dappros/rag_demos |
Category | Knowledge & RAG | Agent & Tools | Knowledge & RAG |
Freshness | |||
| Risk & permission signals | |||
Audit signals | No explicit signals | metadata-only | No explicit signals |
Permission hints | repository clone, local runtime dependencies | repository clone | repository clone, local runtime dependencies |
| Install & compatibility | |||
Supported tools | Universal | Universal | Universal |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 321 | 60.2K | 1 |
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%
Repository: AI-QA-Retrieval-Assistant-API
Author: mvsaran · Source status: Clear source
A complete, end-to-end **Retrieval-Augmented Generation (RAG)** API server built with **Python**, **FastAPI**, **LangChain**, and **ChromaDB**.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: agent-starter-pack
Author: GoogleCloudPlatform · Source status: Clear source
Ship AI Agents to Google Cloud in minutes, not months.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: vertex-ai-samples
Author: GoogleCloudPlatform · Source status: Clear source
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
2026-04-08 |
2026-04-14 |
2026-04-01 |
40 |
75 |
40 |
