freestyle: Open source voice dictation platform for devs. Build voice workflows

by freestyle-voice · Claude Skill · ★ 480

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.

claudeclaude-codecodingcoding-agentdeveloper-toolsstt

Quick Facts

Stars480
Forks70
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score60/100
Open Issues17
Last Updated2026-08-14
Created2026-05-25
Platformsclaude-code, node
Est. Tokens~14k

About freestyle

Freestyle is the dictation app that converts your voice into text. Hold down a hotkey, talk, and clean text will appear wherever your cursor is. Speak 4X faster than you type. Freestyle is free, open source, and local-first. Run a local model and your dictations never leave your device, or bring your own API

Compatible Skills

These tools work well together with freestyle for enhanced workflows:

  • tessera — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)
  • Claude-Zeroclaw — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)
  • wmux — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (59%)
  • simple-agent-manager — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (59%)
  • parallel-code — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)

freestyle alternative? Top 6 similar tools

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  • 10x by 0xCrunchyy · ⭐ 1.4k

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  • parallel-code by johannesjo · ⭐ 1.1k

    Run Claude Code, Codex, and Gemini side by side — each in its own git worktree

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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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