podcast-deepdive
podcast-deepdive is a Summarisation & information digests skill for AI agents, published by mldogs in the skill-factory repository on GitHub. Skillspace rates podcast-deepdive C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Turns one YouTube podcast episode into a fact-checked, bilingual (RU/EN), interactive self-contained HTML deep-dive — fetches the transcript via yt-dlp, runs a multi-agent analysis (map → per-section analyze → adversarial verify → synthesize) into a single podcast.json source of truth with speakers, topic sections, concepts, attributed speaker quotes, sparse debate cards and deep-link timestamps, grounds every quote against the transcript, translates RU↔EN, and renders a page with inline-SVG/CSS visuals, a chapter timeline, a searchable glossary and active-recall Q&A. Use when the user wants a podcast deep-dive, to analyze/break down a YouTube episode, or to package an episode into an interactive lesson page.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 38
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.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- 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
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