herk-edit-kit: Herk Edit Kit by Nate Herk: edit videos, reels, and YouTube Shorts with Codex or Claude Code

by nateherkai · Codex Skill · ★ 2.7k

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

How to install herk-edit-kit

git clone https://github.com/nateherkai/herk-edit-kit.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 70/100

None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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.

claude-codecodexherk-edit-kithyperframesmotion-graphicsnate-herkreelsvideo-editing

Quick Facts

Stars2,697
Forks655
LanguageHTML
CategoryCodex Skill
Quality Score70/100
Open Issues13
Last Updated2026-10-14
Created2026-04-18
Platformsclaude-code, codex
Est. Tokens~17k

About herk-edit-kit

Herk Edit Kit Nate Herk's video-editing kit for Codex and Claude Code, built on HyperFrames. Formerly the HyperFrames Student Kit. Bring your own footage. Cut dead air, review mistakes, plan the story, and build motion graphics with HyperFrames and GSAP. Examples Four finished videos made with this kit.

Compatible Skills

These tools work well together with herk-edit-kit for enhanced workflows:

  • motion-graphics — semantic(0.49)+complementary+same_lang+similar_pop+shared_platform (67%)
  • motion-skills — semantic(0.41)+complementary+same_lang+similar_pop+shared_platform (64%)
  • NullMotion — semantic(0.42)+complementary+same_lang+similar_pop (60%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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:

View on GitHub → Browse Codex Skill tools