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: openclaw/skills
Author: neroagent · Source status: Clear source
Core memory resilience layer: WAL (Write-Ahead Log), Working Buffer, and three-layer memory integration.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 71%
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
memory-journal-mcp
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
haystack
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
playwright
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | memory-journal-mcp | haystack | playwright |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 81 · Evidence missing | 81 · 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 | prompt injection, tool poisoning, unexpected code execution | 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, Secrets, Command | Permission review, Network, Command | Permission review, Network, Command |
Evidence completeness | 71% | 67% | 65% |
| Source & provenance | |||
Provenance | neverinfamous/memory-journal-mcp | deepset-ai/haystack | microsoft/playwright |
Category | Knowledge & RAG | Knowledge & RAG | Automation & Workflows |
Freshness | |||
| Risk & permission signals | |||
Audit signals | needs credentials, network access | No explicit signals | metadata-only |
Permission hints | repository clone, local runtime dependencies | repository clone, local runtime dependencies | repository clone |
| Install & compatibility | |||
Supported tools | Universal | Universal | Universal |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 13 | 24.8K | 86.4K |
Repository: qdrant-loader
Author: martin-papy · Source status: Clear source
Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: nomos
Author: project-nomos · Source status: Clear source
Your AI digital clone — learns who you are, acts on your behalf, remembers everything.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: neurodivergent-memory
Author: jmeyer1980 · Source status: Clear source
A TypeScript-based MCP server implementing a memory system inspired by neurodivergent cognitive styles.
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%
Repository: openclaw/skills
Author: jared-goering · Source status: Clear source
Structured AI agent memory with temporal versioning, relational tracking, and semantic search.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 69%
2026-04-06 |
2026-04-08 |
2026-04-14 |
55 |
40 |
75 |
