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: MemOS
Author: MemTensor · Source status: Clear source
AI memory OS for LLM and Agent systems(moltbot,clawdbot,openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
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
cortexgraph
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
FastGPT
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
litellm
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | cortexgraph | FastGPT | litellm |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 81 · Manual review | 92 · Manual review | 92 · 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, data exfiltration, memory context poisoning | 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, Command | Permission review, Network, Command | Permission review, Network, Command |
Evidence completeness | 67% | 67% | 67% |
| Source & provenance | |||
Provenance | prefrontal-systems/cortexgraph | labring/FastGPT | BerriAI/litellm |
Category | Knowledge & RAG | Automation & Workflows | Automation & Workflows |
Freshness | |||
| Risk & permission signals | |||
Audit signals | No explicit signals | metadata-only | metadata-only |
Permission hints | repository clone, local runtime dependencies | repository clone | repository clone |
| Install & compatibility | |||
Supported tools | Universal | Universal | Universal |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 33 | 27.7K | 43.2K |
Repository: openclaw/skills
Author: javvvid · Source status: Clear source
Partner-style operating guide for OpenClaw assistants.
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 69%
Repository: claude-code-templates
Author: davila7 · Source status: Clear source
Memory is the cornerstone of intelligent agents.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 65%
Repository: TidGi-Desktop
Author: tiddly-gittly · Source status: Clear source
TidGi is an privacy-in-mind, automated, auto-git-backup, freely-deployed knowledge management Desktop note app, based on Tiddlywiki, with REST API for web-clipping and Anki connect.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: UnifAI
Author: redhat-community-ai-tools · Source status: Clear source
Production-grade multi-agent orchestration engine.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 69%
Repository: neuron-ai
Author: neuron-core · Source status: Clear source
The PHP Agentic Framework to build production-ready AI driven applications.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
2026-03-31 |
2026-04-14 |
2026-04-14 |
40 |
75 |
75 |
