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: scholar-rag
Author: PangHu1020 · Source status: Clear source
A beginner-friendly and extensible Agentic RAG project that demonstrates the full pipeline of document parsing, retrieval, reranking, workflow orchestration, tool calling, and answer generation, designed for both learnin
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
OpenViking
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
skill-vetter
Execution risk：High
Threat tags：prompt injection, tool poisoning, identity privilege abuse
Control gaps：missing license, broad permissions, network without allowlist
prompt-in-context-learning
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | OpenViking | skill-vetter | prompt-in-context-learning |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 79 · Manual review | 84 · Manual review | 79 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude | Clear source, High execution risk, Universal |
Execution risk | High | High | High |
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | prompt injection, tool poisoning, identity privilege abuse | prompt injection, tool poisoning, unexpected code execution |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, network without allowlist | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Secrets, Command | Permission review, Network, Secrets, Command | Permission review, Network, Command |
Evidence completeness | 69% | 71% | 68% |
| Source & provenance | |||
Provenance | volcengine/OpenViking | UseAI-pro/openclaw-skills-security | EgoAlpha/prompt-in-context-learning |
Category | Knowledge & RAG | Productivity & Docs | Knowledge & RAG |
Freshness | |||
| Risk & permission signals | |||
Audit signals | writes files | needs credentials | No explicit signals |
Permission hints | repository clone, local runtime dependencies | local skill installation, workspace file updates | repository clone, local runtime dependencies |
| Install & compatibility | |||
Supported tools | Universal | Claude, Codex, Cursor, Windsurf | Universal |
Install method | script-backed | instruction-only | script-backed |
Install friction | |||
| Community | |||
Stars | 21.9K | 48 | 2.1K |
Repository: haystack
Author: deepset-ai · Source status: Clear source
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: Buddy
Author: is-leeroy-jenkins · Source status: Clear source
An AI for federal financial management designed to support Financial Analysts, Managers, and Policy Professionals.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: openclaw/skills
Author: moltbotmolty-del · Source status: Clear source
Your agent forgets everything after compaction?
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 67%
Repository: pending
Author: byteroverinc · Source status: Source needs review
You MUST use this for gathering contexts before any work.
Score basis：Source needs review · High execution risk · Claude · Evidence completeness 69%
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%
2026-04-10 |
2026-04-09 |
2026-04-02 |
40 |
75 |
40 |
