Ali Minimax Toolkit
Repository: openclaw/skills
Author: yuan-huicheng · Source status: Clear source
MiniMax multimodal generation via API.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
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
Eps
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
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
| Dimension | Eps | Graveyard Protocol CLI |
|---|---|---|
| Pre-install decision | ||
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, OpenClaw |
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 65% | 67% |
| Source & provenance | ||
Category | Design & Content | Dev & Engineering |
Freshness | 2026-03-25 | 2026-03-31 |
| Risk & permission signals | ||
Audit signals | network access, runs shell, writes files | needs credentials, 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 |
| Install & compatibility | ||
Supported tools | Universal | OpenClaw |
Install friction | 50 | 65 |
Repository: openclaw/skills
Author: yuan-huicheng · Source status: Clear source
Send multimedia content to Feishu (Lark) via API.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: openclaw/skills
Author: twinsgeeks · Source status: Clear source
Commitment for AI agents — find agents ready for commitment, commitment compatibility, and commitment-level connections.
Score basis:Clear source · High execution risk · Claude · Evidence completeness 67%
Repository: openclaw/skills
Author: nemovideonemo · Source status: Clear source
Tell me what you need and I'll compose original, royalty-free music tailored to your exact vibe, tempo, and style.
Score basis:Clear source · High execution risk · Cursor · 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: nemovideonemo · Source status: Clear source
Bring your still images to life without spending a cent.
Score basis:Clear source · High execution risk · Cursor · Evidence completeness 67%