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: 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%
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
Config Rollback
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, shell without guardrails, network without allowlist
playwright-python
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
agent-metrics-monitor
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Config Rollback | playwright-python | agent-metrics-monitor |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 69 · Manual review | 66 · Manual review | 62 · Manual review |
Score basis | Clear source, High execution risk, OpenClaw | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, human approval gap | prompt injection, tool poisoning, unexpected code execution |
Control gaps | missing license, shell without guardrails, network without allowlist | 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 | 63% | 65% | 67% |
| Source & provenance | |||
Provenance | openclaw/skills | microsoft/playwright-python | openclaw/skills |
Category | Operations & Infra | Automation & Workflows | Operations & Infra |
Freshness | |||
| Risk & permission signals | |||
Audit signals | runs shell | metadata-only | network access, writes files |
Permission hints | verify source provenance before install | repository clone | verify source provenance before install |
| Install & compatibility | |||
Supported tools | OpenClaw | Universal | Universal |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 0 | 14.5K | 0 |
Repository: openclaw/skills
Author: stevojarvisai-star · Source status: Clear source
AI-powered trading bot framework for OpenClaw.
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 67%
Repository: openclaw/skills
Author: robin-marv · Source status: Clear source
Snapshot and back up OpenClaw brain files (AGENTS.md, SOUL.md, MEMORY.md, memory/, etc.) to an offsite git repository — like a lobster shedding its shell, leaving behind a perfect copy before growing.
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 69%
Repository: openclaw/skills
Author: udnerc · Source status: Clear source
Film, edit, and publish engaging travel vlogs that build an audience with AI — generate travel vlog tips videos covering camera gear selection, on-location filming techniques, storytelling structures for vlogs, editing w
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 69%
Repository: openclaw/skills
Author: nic-yuan · Source status: Clear source
Spec-first, TDD, subagent-driven software development workflow for OpenClaw agents.
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 65%
2026-02-28 |
2026-03-27 |
2026-03-25 |
50 |
75 |
40 |
