Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Selected skills (2/4)
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
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
vscode-insert-numbers
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
entroly
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | vscode-insert-numbers | entroly |
|---|---|---|
| Pre-install decision | ||
Pre-install score | 64 · Manual review | 82 · Manual review |
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 65% | 69% |
| Source & provenance | ||
Provenance | doggy8088/vscode-insert-numbers | juyterman1000/entroly |
Freshness | 2024-04-18 | 2026-04-05 |
| Risk & permission signals | ||
Audit signals | No explicit signals | needs credentials |
| Install & compatibility | ||
Install friction | 40 | 55 |
| Community | ||
Stars | 4 | 97 |
Repository: ClaudeBar
Author: tddworks · Source status: Clear source
A macOS menu bar application that monitors AI coding assistant usage quotas.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: cc-statistics
Author: androidZzT · Source status: Clear source
AI Coding stats dashboard — track costs, tokens, and efficiency across Claude Code / Gemini CLI / Codex / Cursor Topics: ai-coding, claude-code, cli, cost-estimation, developer-tools, gemini-cli, macos-app, python, swift
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: DemoGPT
Author: melih-unsal · Source status: Clear source
🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: tokscale
Author: junhoyeo · Source status: Clear source
🛰️ A CLI tool for tracking token usage from OpenCode, Claude Code, 🦞OpenClaw (Clawdbot/Moltbot), Pi, Codex, Gemini, Cursor, AmpCode, Factory Droid, Kimi, and more!
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
