Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Selected skills (3/4)
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: MemOS
Author: MemTensor · Source status: Clear source
AI memory OS for LLM and Agent systems(moltbot,clawdbot,openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.
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
cortexgraph
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
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
| Dimension | cortexgraph | memory-journal-mcp | agent-memory-systems |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 81 · Manual review | 81 · Evidence missing | 79 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude |
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | prompt injection, tool poisoning, unexpected code execution | data exfiltration, memory context poisoning, human approval gap |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails | missing license, network without allowlist, no human approval |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command | Network, Command |
Evidence completeness | 67% | 71% | 65% |
| Source & provenance | |||
Provenance | prefrontal-systems/cortexgraph | neverinfamous/memory-journal-mcp | davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-memory-systems |
Freshness | 2026-03-31 | 2026-04-06 | 2026-02-04 |
| Risk & permission signals | |||
Audit signals | No explicit signals | needs credentials, network access | No explicit signals |
Permission hints | repository clone, local runtime dependencies | repository clone, local runtime dependencies | registry access, remote metadata pull, runtime dependencies may be required |
| Install & compatibility | |||
Supported tools | Universal | Universal | Claude, Codex, Cursor, Universal |
Install method | script-backed | script-backed | registry-install |
Install friction | |||
| Community | |||
Stars | 33 | 13 | 19.9K |
Repository: openclaw/skills
Author: javvvid · Source status: Clear source
Partner-style operating guide for OpenClaw assistants.
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 69%
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%
Repository: UnifAI
Author: redhat-community-ai-tools · Source status: Clear source
Production-grade multi-agent orchestration engine.
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%
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