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: flexible-graphrag
Author: stevereiner · Source status: Clear source
Flexible GraphRAG: Python, LlamaIndex, Docker Compose: 8 Graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco.
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
qdrant-loader
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
opencode
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
TidGi-Desktop
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | qdrant-loader | opencode | TidGi-Desktop |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 64 · Manual review | 66 · Manual review | 64 · 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 | martin-papy/qdrant-loader | anomalyco/opencode | tiddly-gittly/TidGi-Desktop |
Category | Knowledge & RAG | Agent & Tools | Knowledge & RAG |
Freshness | |||
| Risk & permission signals | |||
Audit signals | writes files | metadata-only | network access |
Permission hints | repository clone, local runtime dependencies | repository clone | repository clone, local runtime dependencies |
| Install & compatibility | |||
Install friction | 40 | 75 | 40 |
| Community | |||
Stars | 37 | 142.8K | 2K |
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: 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%
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: memory-journal-mcp
Author: neverinfamous · Source status: Clear source
Bridge Disconnected AI Sessions with Persistent Project Memory, Dynamic Project Detection, Automatic Session Briefing, Personal & Team Session Summary Prompts, Triple Search, Knowledge Graphs, GitHub Integration (Issues,
Score basis：Clear source · High execution risk · Universal · Evidence completeness 71%
2026-04-06 |
2026-04-14 |
2026-04-07 |
