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
Proactive Ops Monitor
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
Observal
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
openai-python
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Proactive Ops Monitor | Observal | openai-python |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 60 · Manual review | 67 · Manual review | 66 · Manual review |
Score basis | Clear source, High execution risk, OpenClaw | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal |
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, human approval gap |
Permission summary | Permission review, Network, Secrets, Command | Permission review, Network, Command | Permission review, Network, Command |
Evidence completeness | 69% | 65% | 65% |
| Source & provenance | |||
Provenance | openclaw/skills | BlazeUp-AI/Observal | openai/openai-python |
Category | Operations & Infra | Operations & Infra | Automation & Workflows |
Freshness | |||
| Risk & permission signals | |||
Audit signals | needs credentials, writes files | No explicit signals | metadata-only |
Permission hints | verify source provenance before install | repository clone, local runtime dependencies | repository clone |
| Install & compatibility | |||
Supported tools | OpenClaw | Universal | Universal |
Install friction | 55 | 40 | 75 |
| Community | |||
Stars | 0 | 136 | 30.5K |
Repository: openclaw/skills
Author: graveyardprotocol · Source status: Clear source
Close empty Solana SPL token accounts and reclaim locked rent SOL back to your wallet, track Ghost Point earnings, claim SOUL tokens at the end of each weekly epoch, manage multiple encrypted wallets, and view lifetime a
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 67%
Repository: openclaw/skills
Author: neroagent · Source status: Clear source
Automated audit and fix for OpenClaw agent harnesses.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 69%
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: zealman2025 · Source status: Clear source
Generate/edit images with nanobanana2 (Gemini 3.1 Flash Image preview).
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 71%
2026-04-02 |
2026-04-05 |
2026-04-14 |
