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: junie
Author: JetBrains · Source status: Clear source
An AI coding agent by JetBrains that ships code from your terminal, IDE, or CI/CD pipeline - powered by any LLM you choose
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
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
databao-context-engine
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
skill-seekers
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
DemoGPT
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | databao-context-engine | skill-seekers | DemoGPT |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 81 · Manual review | 88 · Evidence missing | 82 · 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 | unexpected code execution, identity privilege abuse, data exfiltration | prompt injection, tool poisoning, unexpected code execution |
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, Secrets, Command | Permission review, Network, Secrets, Command | Permission review, Network, Command |
Evidence completeness | 69% | 71% | 67% |
| Source & provenance | |||
Provenance | JetBrains/databao-context-engine | openclaw/skills | melih-unsal/DemoGPT |
Category | Data & Analytics | Dev & Engineering | Dev & Engineering |
Freshness | |||
| Risk & permission signals | |||
Audit signals | No explicit signals | needs credentials, network access, runs shell, writes files | No explicit signals |
Permission hints | repository clone, local runtime dependencies | verify source provenance before install | repository clone, local runtime dependencies |
| Install & compatibility | |||
Supported tools | Universal | Claude, Cursor, Windsurf | Universal |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 77 | 0 | 1.9K |
Repository: koog
Author: JetBrains · Source status: Clear source
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 69%
Repository: research-workflow-assistant
Author: andre-inter-collab-llc · Source status: Clear source
Open-source AI research assistant for VS Code + GitHub Copilot.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: openclaw/skills
Author: yogurtliu · Source status: Clear source
Automatically convert GPS coordinates in FIT files from GCJ-02 to WGS-84 format and optionally upload to Strava.
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 67%
Repository: openclaw/skills
Author: JiahaoWuGit · Source status: Clear source
Academic literature discovery and citation network analysis.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 67%
Repository: openclaw/skills
Author: JiahaoWuGit · Source status: Clear source
Academic literature discovery and citation network analysis.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 67%
2026-04-08 |
2026-04-04 |
2026-04-01 |
40 |
65 |
40 |
