Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Selected skills (3/4)
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
Repository: 1Panel
Author: 1Panel-dev · Source status: Clear source
🔥 1Panel is a modern, open-source VPS control panel — and the only one with native AI agent support.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
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
MemOS-Cloud-OpenClaw-Plugin
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
agent-memory-systems
Execution risk：High
Threat tags：data exfiltration, memory context poisoning, human approval gap
Control gaps：missing license, network without allowlist, no human approval
Buddy
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | MemOS-Cloud-OpenClaw-Plugin | agent-memory-systems | Buddy |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 92 · Manual review | 79 · Manual review | 81 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude | Clear source, High execution risk, Universal |
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | data exfiltration, memory context poisoning, human approval gap | unexpected code execution, data exfiltration, memory context poisoning |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, network without allowlist, no human approval | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Network, Command | Permission review, Network, Command |
Evidence completeness | 67% | 65% | 67% |
| Source & provenance | |||
Provenance | MemTensor/MemOS-Cloud-OpenClaw-Plugin | davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-memory-systems | is-leeroy-jenkins/Buddy |
Category | Agent & Tools | Knowledge & RAG | Knowledge & RAG |
Freshness | |||
| Risk & permission signals | |||
Audit signals | metadata-only | No explicit signals | network access, runs shell |
Permission hints | repository clone | registry access, remote metadata pull, runtime dependencies may be required | repository clone, local runtime dependencies |
| Install & compatibility | |||
Supported tools | Universal | Claude, Codex, Cursor, Universal | Universal |
Install method | script-backed | registry-install | script-backed |
Install friction | |||
| Community | |||
Stars | 355 | 19.9K | 6 |
Repository: conductor
Author: conductor-oss · Source status: Clear source
Conductor is an event driven agentic orchestration platform providing durable and highly resilient execution engine for applications and AI Agents
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: agency-agents
Author: msitarzewski · Source status: Clear source
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: ragflow
Author: infiniflow · Source status: Clear source
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
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%
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%
2026-04-10 |
2026-02-04 |
2026-04-02 |
75 |
50 |
50 |
