PaddleOCR
Repository: PaddleOCR
Author: PaddlePaddle · Source status: Clear source
Turn any PDF or image document into structured data for your AI.
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.
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
MinerU
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
sim
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
Rentahuman
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | MinerU | sim | Rentahuman |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 92 · Manual review | 92 · Manual review | 85 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal | Clear source, High execution risk, OpenClaw |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration |
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, Command | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 65% | 65% | 67% |
| Source & provenance | |||
Provenance | opendatalab/MinerU | simstudioai/sim | openclaw/skills |
Category | Agent & Tools | Agent & Tools | Dev & Engineering |
Freshness | |||
| Risk & permission signals | |||
Audit signals | metadata-only | metadata-only | needs credentials, network access, runs shell, writes files |
Permission hints | repository clone | repository clone | verify source provenance before install |
| Install & compatibility | |||
Supported tools | Universal | Universal | OpenClaw |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 59.7K | 27.7K | 0 |
Repository: dify
Author: langgenius · Source status: Clear source
Production-ready platform for agentic workflow development.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: gemini-cli
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An open-source AI agent that brings the power of Gemini directly into your terminal.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
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A collection of DESIGN.md files inspired by popular brand design systems.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: mindsdb
Author: mindsdb · Source status: Clear source
Query Engine for AI Analytics: Build self-reasoning agents across all your live data
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
2026-04-14 |
2026-04-14 |
2026-03-26 |
75 |
75 |
65 |