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.
SAS-v2.1 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: 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 · Low risk signals · Universal
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
Audit score, evidence confidence, trust score, 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
Name Analyzer
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, shell without guardrails, network without allowlist
junie
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | databao-context-engine | Name Analyzer | junie |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Audit grade | C · Review first | C · Review first | C · Review first |
Execution risk | High | High | High |
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, human approval gap |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, shell without guardrails, network without allowlist | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Secrets, Command | Permission review, Network, Command | Permission review, Network, Command |
Evidence confidence | 69% | 63% | 65% |
| Source & provenance | |||
Provenance | JetBrains/databao-context-engine | openclaw/skills | JetBrains/junie |
Category | Data & Analytics | Data & Analytics | Agent & Tools |
Freshness | |||
| Risk & trust | |||
Trust score | 81 | 85 | 85 |
Audit signals | No explicit signals | runs shell | metadata-only |
| Install & compatibility | |||
Supported tools | Universal | Universal | Universal |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 77 | 0 | 157 |
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 · Low risk signals · Universal
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 risk signals · OpenClaw
2026-04-08 |
2026-04-02 |
2026-04-14 |
Permission hints |
|---|
repository clone, local runtime dependencies |
verify source provenance before install |
repository clone |
40 |
50 |
75 |
