Research Workflow Assistant
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
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: 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
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
junie
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
koog
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | databao-context-engine | junie | koog |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration |
Permission summary | Permission review, Network, Secrets, Command | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence confidence | 69% | 65% | 69% |
| Source & provenance | |||
Provenance | JetBrains/databao-context-engine | JetBrains/junie | JetBrains/koog |
Category | Data & Analytics | Agent & Tools | Dev & Engineering |
Freshness | |||
| Risk & trust | |||
Trust score | 81 | 85 | 81 |
Audit signals | No explicit signals | metadata-only | No explicit signals |
| Install & compatibility | |||
Install friction | 40 | 75 | 40 |
| Community | |||
Stars | 77 | 157 | 4K |
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 |
2026-04-14 |
2026-04-07 |
Permission hints |
|---|
repository clone, local runtime dependencies |
repository clone |
repository clone, local runtime dependencies |