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: scholar-rag
Author: PangHu1020 · Source status: Clear source
A beginner-friendly and extensible Agentic RAG project that demonstrates the full pipeline of document parsing, retrieval, reranking, workflow orchestration, tool calling, and answer generation, designed for both learnin
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
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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
Buddy
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
memory-journal-mcp
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
Icebreaker Openers. 破冰。Rompehielos.
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Buddy | memory-journal-mcp | Icebreaker Openers. 破冰。Rompehielos. |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 81 · Manual review | 81 · Evidence missing | 85 · Evidence missing |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | prompt injection, tool poisoning, unexpected code execution | prompt injection, tool poisoning, unexpected code execution |
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, Secrets, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 67% | 71% | 69% |
| Source & provenance | |||
Provenance | is-leeroy-jenkins/Buddy | neverinfamous/memory-journal-mcp | openclaw/skills |
Category | Knowledge & RAG | Knowledge & RAG | Integrations & Connectors |
Freshness | |||
| Risk & permission signals | |||
Audit signals | network access, runs shell | needs credentials, network access | needs credentials, network access, runs shell, writes files |
Permission hints | repository clone, local runtime dependencies | repository clone, local runtime dependencies | verify source provenance before install |
| Install & compatibility | |||
Supported tools | Universal | Universal | Claude, OpenClaw |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 6 | 13 | 0 |
Repository: serena
Author: oraios · Source status: Clear source
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent Topics: agent, ai, ai-coding, claude, claude-code, codex, ide, jetbrains, language-server, mcp-server, pr
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: OpenViking
Author: volcengine · Source status: Clear source
OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw).
Score basis：Clear source · High execution risk · Universal · Evidence completeness 69%
Repository: generative-ai-for-beginners-project-based-guide-to-building-rag-agents
Author: hereandnowai · Source status: Clear source
A beginner-friendly, project-driven tutorial on generative AI and LangChain agents.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 68%
Repository: rag_demos
Author: dappros · Source status: Clear source
Examples of RAG (Retrieval-Augmented Generation) with Ethora, LangChain, and OpenAI.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: AI-QA-Retrieval-Assistant-API
Author: mvsaran · Source status: Clear source
A complete, end-to-end **Retrieval-Augmented Generation (RAG)** API server built with **Python**, **FastAPI**, **LangChain**, and **ChromaDB**.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
2026-04-02 |
2026-04-06 |
2026-04-01 |
50 |
55 |
65 |
