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
composio
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, memory context poisoning
Control gaps:missing license, broad permissions, shell without guardrails
codex
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
ragflow
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, memory context poisoning
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | composio | codex | ragflow |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 65 · Manual review | 66 · Manual review | 65 · Manual review |
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, memory context poisoning |
Evidence completeness | 67% | 65% | 67% |
| Source & provenance | |||
Provenance | ComposioHQ/composio | openai/codex | infiniflow/ragflow |
| Community | |||
Stars | 27.8K | 75.1K | 78K |
Repository: lobehub
Author: lobehub · Source status: Clear source
The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: ansible
Author: ansible · Source status: Clear source
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: Open-Assistant
Author: LAION-AI · Source status: Clear source
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 67%