Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Selected skills (2/4)
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
Resumy
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
agentic-ai-engineering
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Resumy | agentic-ai-engineering |
|---|---|---|
| Pre-install decision | ||
Pre-install score | 85 · Manual review | 82 · Manual review |
Score basis | Clear source, High execution risk, OpenClaw | Clear source, High execution risk, Universal |
Execution risk | High | High |
Threat tags | unexpected code execution, data exfiltration, human approval gap | prompt injection, tool poisoning, unexpected code execution |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Command |
Evidence completeness | 65% | 68% |
| Source & provenance | ||
Provenance | openclaw/skills | agenticloops-ai/agentic-ai-engineering |
Category | Web & Automation | Dev & Engineering |
Freshness | 2026-04-02 | 2026-04-07 |
| Risk & permission signals | ||
Audit signals | network access, runs shell, writes files | No explicit signals |
Permission hints | verify source provenance before install | repository clone, local runtime dependencies |
| Install & compatibility | ||
Supported tools | OpenClaw | Universal |
Install method | script-backed | script-backed |
Install friction | 50 | |
| Community | ||
Stars | 0 | 49 |
Repository: openclaw/skills
Author: udnerc · Source status: Clear source
Document alpine scenery, summit hikes, and highland culture on film with AI — generate mountain travel videos covering peak photography, trail selection for every fitness level, mountain town exploration, seasonal timing
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 67%
Repository: openclaw/skills
Author: skunnyo · Source status: Clear source
Generate professional calendars, timelines, schedules, and project planners for ClawHub/OpenClaw skill development services.
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 65%
Repository: openclaw/skills
Author: grantmacnamara · Source status: Clear source
Control a Mopidy music system via Mopidy JSON-RPC for everyday listening, queue management, and playback control.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: udemy-courses
Author: orassayag · Source status: Clear source
A Node.js and Puppeteer.js automation tool that discovers and enrolls in free Udemy courses using coupon codes from coupon sites.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
