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: 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%
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
ClaudeBar
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
Superpowers Core Pipeline (袁文同优化版)
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
openai-python
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | ClaudeBar | Superpowers Core Pipeline (袁文同优化版) | openai-python |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 66 · Manual review | 65 · Manual review | 66 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, OpenClaw | Clear source, High execution risk, Universal |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, human approval gap | 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, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Command | Permission review, Network, Command |
Evidence completeness | 65% | 65% | 65% |
| Source & provenance | |||
Provenance | tddworks/ClaudeBar | openclaw/skills | openai/openai-python |
Category | Dev & Engineering | Dev & Engineering | Automation & Workflows |
Freshness | |||
| Risk & permission signals | |||
Audit signals | No explicit signals | network access, runs shell, writes files | metadata-only |
Permission hints | repository clone, local runtime dependencies | requires binary: git, verify source provenance before install | repository clone |
| Install & compatibility | |||
Supported tools | Universal | OpenClaw | Universal |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 893 | 0 | 30.5K |
Repository: ccNexus
Author: lich0821 · Source status: Clear source
Intelligent API gateway for Claude Code and Codex CLI - rotate endpoints, monitor usage, and seamlessly integrate OpenAI, Gemini, and other platforms.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: splitrail
Author: Piebald-AI · Source status: Clear source
Fast, cross-platform, real-time token usage tracker and cost monitor for Gemini CLI / Claude Code / Codex CLI / Qwen Code / Cline / Roo Code / Kilo Code / GitHub Copilot / OpenCode / Pi Agent / Piebald.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: entroly
Author: juyterman1000 · Source status: Clear source
Entroly helps AI coding tools like Cursor, Copilot, and Claude Code use the right context from your entire codebase—improving output quality while reducing token usage.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 69%
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: claude-code-env-manager
Author: Genuifx · Source status: Clear source
Control center for Claude Code & Codex — multi-model parallel sessions, Telegram remote control, scheduled cron tasks with push notifications, usage analytics, permission modes.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
2026-04-01 |
2026-04-02 |
2026-04-14 |
40 |
50 |
75 |
