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: 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%
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
Love Matching. 爱情。Amor.
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
Graveyard Protocol CLI
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
Moses Stamp
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Love Matching. 爱情。Amor. | Graveyard Protocol CLI | Moses Stamp |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 82 · Manual review | 85 · Manual review | 85 · Manual review |
Score basis | Clear source, High execution risk, Claude | Clear source, High execution risk, OpenClaw | Clear source, High execution risk, OpenClaw |
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, human approval gap |
Permission summary | Permission review, Network, Secrets, Command | Permission review, Network, Secrets, Command | Permission review, Network, Command |
| Source & provenance | |||
Category | Productivity & Docs | Dev & Engineering | Productivity & Docs |
Freshness | 2026-02-23 | 2026-03-31 | 2026-04-02 |
| Risk & permission signals | |||
Audit signals | needs credentials, network access, runs shell, writes files | needs credentials, network access, runs shell, writes files | network access, runs shell, writes files |
Permission hints | verify source provenance before install | requires binary: node, requires binary: npx, requires binary: gp-cli, verify source provenance before install | requires binary: python3, verify source provenance before install |
| Install & compatibility | |||
Supported tools | Claude, OpenClaw | OpenClaw | OpenClaw |
Install friction | 65 | 65 | 50 |
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: bwbernardweston18 · Source status: Clear source
Tired of spending hours cutting clips, writing captions, and hunting for the right music in Canva?
Score basis：Clear source · High execution risk · Cursor · Evidence completeness 67%
