reelclaw

reelclaw is a Video marketing & short-form skill for AI agents, published by dansugc in the reelclaw repository on GitHub. Skillspace rates reelclaw D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Create, produce, and publish UGC-style short-form video reels at scale. Full pipeline: source UGC reaction hooks from DanSUGC, analyze app demos with Gemini AI, assemble reels with ffmpeg, publish via DanSUGC Posting (TikTok + Instagram), track performance and research viral formats/hooks via DanSUGC's built-in analytics proxy.

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
114

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubdansugc/reelclaw

Our review

Architecture
73 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in Video marketing & short-form

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.