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: 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%
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
Ultramemory
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
Graveyard Protocol CLI
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | qdrant-loader | Ultramemory | Graveyard Protocol CLI |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 81 · Manual review | 85 · Evidence missing | 85 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal | Clear source, High execution risk, OpenClaw |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, identity privilege abuse, data exfiltration |
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% | 69% | 67% |
| Source & provenance | |||
Provenance | martin-papy/qdrant-loader | openclaw/skills | openclaw/skills |
Category | Knowledge & RAG | Knowledge & RAG | Dev & Engineering |
Freshness | |||
| Risk & permission signals | |||
Audit signals | writes files | needs credentials, network access, runs shell, writes files | needs credentials, network access, runs shell, writes files |
Permission hints | repository clone, local runtime dependencies | verify source provenance before install | requires binary: node, requires binary: npx, requires binary: gp-cli, verify source provenance before install |
| Install & compatibility | |||
Supported tools | Universal | Universal | OpenClaw |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 37 | 0 | 0 |
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%
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 |
2026-03-30 |
2026-03-31 |
40 |
65 |
65 |
