media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
How do I install this agent skill?
npx skills add https://github.com/garrytan/gbrain --skill media-ingestIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill is generally safe but processes untrusted external content from multiple sources, which presents an indirect prompt injection risk. It also uses a local CLI tool for file management and synchronization.
- Socketpass
No alerts
- Snykwarn
Risk: MEDIUM · 1 issue
- ZeroLeakspass
Score: 93/100 · 2 sections analyzed
What does this agent skill do?
Media Ingest Skill
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain.
Filing rule: Read
skills/_brain-filing-rules.mdbefore creating any new page.
Input
| Parameter | Required | Description |
|---|---|---|
| source | yes | URL, file path, or uploaded file reference |
| title | no | Override title (auto-detected if omitted) |
| target_slug | no | Override page slug (auto-generated if omitted) |
Contract
This skill guarantees:
- Every ingested media item has a brain page with analysis (not just a transcript dump)
- Transcripts (video/audio) saved in raw and human-readable formats
- Entity extraction: every person and company mentioned gets back-linked
- Raw source files preserved via
gbrain files upload-raw - Filing by primary subject, not by media format
Convention: See
skills/conventions/quality.mdfor Iron Law back-linking.
Every mention of a person or company with a brain page MUST create a back-link.
Phases
Phase 1: Identify format and fetch
| Format | Action |
|---|---|
| YouTube/video URL | Fetch transcript (Whisper, transcription service, or captions) |
| Audio file | Transcribe with available STT service |
| Extract text (OCR if needed) | |
| Book PDF | Extract text, identify chapters/sections |
| Screenshot/image | OCR via vision model, extract text and entities |
| GitHub repo | Clone, read README + key files, summarize architecture |
Phase 2: Upload raw source
Save the original file for provenance: gbrain files upload-raw <file> --page <slug>
Phase 3: Create brain page
File by primary subject (not format). Use this template:
# {Title}
**Source:** {URL or file path}
**Format:** {video/audio/PDF/book/screenshot/repo}
**Created:** {date}
## Summary
{Key points, not a transcript dump}
## Key Segments / Highlights
{For video/audio: timestamped highlights. For books: chapter summaries.}
## People Mentioned
{List with links to brain pages}
## Companies Mentioned
{List with links to brain pages}
Phase 4: Entity extraction and propagation
For every person and company mentioned:
- Check brain for existing page
- Create/enrich if needed (delegate to enrich skill)
- Add back-link from entity page to this media page
- Add timeline entry on entity page
A media item is NOT fully ingested until entity propagation is complete.
Phase 5: Sync
gbrain sync to update the index.
Output Format
Brain page created with summary, highlights, and entity cross-links. Report to user: "Ingested {title}: {N} entities detected, {N} pages updated."
Error Handling
- Transcription failure: If STT or captions are unavailable, note
[transcript unavailable]in the page and proceed with whatever metadata is available. Do NOT fabricate content. - Duplicate detection: Before creating a page, search the brain for the source URL or file hash. If found, ask the user whether to update the existing page or skip.
- Partial OCR / audio: Mark unclear segments with
[inaudible]or[illegible]. Never guess at proper nouns. - Large content (books > 500 pages): Summarize by chapter; do not attempt to inline the full text. Link to the raw upload.
- Retry policy: On transient API failures (network, timeout), retry once. On auth failures, abort immediately.
Known Pitfalls
- YouTube auto-captions misidentify proper nouns. Always cross-reference entity names against existing brain pages before creating new ones. A caption that garbles a name (e.g. "Alise" when the speakers are discussing alice-example) should match the existing
alice-examplepage, not create a new one. - Re-running ingest on same source creates duplicates. Always check brain for existing source URL match before Phase 3.
- Book OCR quality varies wildly. Scanned PDFs often have garbled text. If OCR quality is <80% readable, flag to user rather than ingesting garbage.
- Video transcript without speaker diarization is low-value. If multiple speakers are present but no diarization is available, note this limitation prominently rather than attributing all speech to one person.
- Large audio files (>2hr) can timeout transcription services. Split into chunks before transcription if needed.
Anti-Patterns
- Dumping raw transcripts without analysis
- Skipping entity extraction ("I'll do that separately")
- Filing raw ingest by format (all videos in
media/videos/) instead of by subject. Note: format-prefixed paths undermedia/<format>/<slug>ARE sanctioned for synthesized one-of-one output like book-mirror'smedia/books/<slug>-personalized.md. The anti-pattern is for raw ingest, not for sui generis synthesis. Seeskills/_brain-filing-rules.md"Sanctioned exception: synthesis output is sui generis." - Not preserving raw source files
- Creating stub pages without meaningful content
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/garrytan/gbrain/media-ingest">View media-ingest on skillZs</a>