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
create-an-asset
Execution risk：High
Threat tags：data exfiltration, memory context poisoning, human approval gap
Control gaps：missing license, broad permissions, network without allowlist
LookupMark File Sender
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | OpenViking | create-an-asset | LookupMark File Sender |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 79 · Manual review | 80 · Manual review | 85 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude | Clear source, High execution risk, OpenClaw |
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | data exfiltration, memory context poisoning, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration |
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 | Network, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 69% | 67% | 67% |
| Source & provenance | |||
Provenance | volcengine/OpenViking | anthropics/knowledge-work-plugins/tree/main/sales/skills/create-an-asset | openclaw/skills |
Freshness | 2026-04-10 | 2026-02-04 | 2026-04-05 |
| Risk & permission signals | |||
Audit signals | writes files | No explicit signals | needs credentials, network access, runs shell, writes files |
Permission hints | repository clone, local runtime dependencies | registry access, remote metadata pull, runtime dependencies may be required | verify source provenance before install |
| Install & compatibility | |||
Supported tools | Universal | Claude, Codex, Cursor, Universal | OpenClaw |
Install method | script-backed | registry-install | script-backed |
Install friction | |||
| Community | |||
Stars | 21.9K | 6.6K | 0 |
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%
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