sidekick-dev-web: Automatically generate high-quality markdown context files for AI coding agents like Claude, Cursor

by saharmor · Agent Tool · ★ 117

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

Security audit verdict: SAFE · quality 74/100

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.

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.

claude-codecursorllm

Quick Facts

Stars117
Forks26
LanguageTypeScript
CategoryAgent Tool
LicenseApache-2.0
Quality Score74/100
Last Updated2026-03-23
Created2025-08-05
Platformsbrowser, claude-code, gemini, node
Est. Tokens~59k

About sidekick-dev-web

✨ Sidekick Dev Automatically generate high-quality markdown context files for AI coding agents like Claude, Cursor, Windsurf, and Gemini by analyzing any public GitHub repository. Stay updated on AI https://github.com/user-attachments/assets/aa944e4d-f537-4069-b44a-2894d7233e1c Features Multi-Agent Support: Generate context files optimized for Claude, Cursor, Windsurf, and Gemini GitHub...

Compatible Skills

These tools work well together with sidekick-dev-web for enhanced workflows:

  • cli-continues — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • ok-skills — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • rover — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • skills — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)

sidekick-dev-web alternative? Top 6 similar tools

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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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