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
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
rag_demos
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 | agent-memory-systems | rag_demos |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 81 · Manual review | 79 · Manual review | 82 · 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 | martin-papy/qdrant-loader | davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-memory-systems | dappros/rag_demos |
Freshness | 2026-04-06 | 2026-02-04 | 2026-04-01 |
| Risk & permission signals | |||
Audit signals | writes files | No explicit signals | No explicit signals |
Permission hints | repository clone, local runtime dependencies | 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 | 37 | 19.9K | 1 |
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%
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