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: 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%
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
Api Ninjas
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
mcp-memory-libsql
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
LibreChat
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Api Ninjas | mcp-memory-libsql | LibreChat |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 61 · Manual review | 65 · Manual review | 67 · 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, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, human approval gap |
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, Secrets, Command | Permission review, Network, Command | Permission review, Network, Command |
Evidence completeness | 67% | 67% | 65% |
| Source & provenance | |||
Provenance | openclaw/skills | spences10/mcp-memory-libsql | danny-avila/LibreChat |
Category | Integrations & Connectors | Agent & Tools | Integrations & Connectors |
Freshness | |||
| Risk & permission signals | |||
Audit signals | needs credentials, network access, runs shell, writes files | metadata-only | No explicit signals |
Permission hints | verify source provenance before install | 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 | 0 | 82 | 35.4K |
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when managing Alibaba Cloud RDS Supabase (RDS AI Service 2025-05-07) via OpenAPI, including creating, starting/stopping/restarting instances, resetting passwords, querying endpoints/auth/storage, configuring auth/RAG
Score basis：Clear source · High execution risk · Universal · Evidence completeness 69%
Repository: openclaw/skills
Author: ts-sz · Source status: Clear source
Connect your AI agent to 1000+ apps — discover tools, manage OAuth connections, execute actions, and provide a self-service connector dashboard.
Score basis：Clear source · High execution risk · Universal · 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: 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%
2026-03-12 |
2026-04-13 |
2026-04-08 |
65 |
75 |
40 |
