Ali Feishu Sender
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%
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
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
playwright
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
graphrag
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, memory context poisoning
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | Eps | playwright | graphrag |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 85 · Manual review | 92 · Manual review | 92 · Manual review |
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, memory context poisoning |
Evidence completeness | 65% | 65% | 67% |
| Source & provenance | |||
Provenance | openclaw/skills | microsoft/playwright | microsoft/graphrag |
Category | Design & Content | Automation & Workflows | Automation & Workflows |
Freshness | |||
| Risk & permission signals | |||
Audit signals | network access, runs shell, writes files | metadata-only | metadata-only |
Permission hints | verify source provenance before install | repository clone | repository clone |
| Install & compatibility | |||
Install friction | 50 | 75 | 75 |
| Community | |||
Stars | 0 | 86.4K | 32.2K |
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: bwbernardweston18 · Source status: Clear source
Tell me what you need and I'll sync your video's lip movements to any audio track — no expensive software required.
Score basis:Clear source · High execution risk · Cursor · Evidence completeness 67%
Repository: openclaw/skills
Author: zmofei · Source status: Clear source
Expert guidance on validating, optimizing, and ensuring quality of Mapbox styles through validation, accessibility checks, and optimization.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
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: bermyboystechsolutions · Source status: Clear source
Generate images with Nano Banana (Gemini 3 Pro Image) and animate them into videos with Veo 3.1.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
2026-03-25 |
2026-04-14 |
2026-04-14 |