aide: Conquer Any Code in VSCode: One-Click Comments, Conversions, UI-to-Code, and AI Batch Processing of Files

by nicepkg · Agent Tool · ★ 2.7k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 60/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars2,687
Forks207
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score60/100
Open Issues43
Last Updated2025-05-06
Created2024-07-02
Platformsclaude-code, cli, node, vscode
Est. Tokens~3691k

About aide

English / 简体中文 / 日本語 Conquer Any Code in VSCode: One-Click Comments, Conversions, UI-to-Code, and AI Batch Processing of Files! 💪 在 VSCode 中征服任何代码:一键注释、转换、UI 图生成代码、AI 批量处理文件!💪 Document 📚 See: https://aide.nicepkg.cn Video: https://github.com/user-attachments/assets/55f85f8e-7515-4da3-b850-9c078b3440d5

Compatible Skills

These tools work well together with aide for enhanced workflows:

  • Mysti — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • claude-debugs-for-you — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • Lim-Code — semantic(0.44)+complementary+rare_topics+same_lang+shared_platform (59%)
  • copilot-mcp — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • zcf — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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