media-ingest

media-ingest is a skill for Claude Code, Codex from cyberbird2048/gbrainmcp-clean. It costs 52 tokens per session (917 once invoked), scanned A, original, MIT.

A skill for bringing video, audio, PDFs, books, screenshots, and GitHub repositories into a structured knowledge base. It extracts text, analyzes the source, identifies people and companies, and links them to related pages.

In plain words
What is it for?
Use it to process media, documents, images, and repositories; create analyzed knowledge-base pages; extract names and companies; and maintain links between related pages.
Why use it?
It keeps research material organized and useful instead of leaving behind unstructured transcripts or files. It also preserves the original sources and connects related information.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for gbrain. Also seen: built for gbrain.

Good fit Use it to process media, documents, images, and repositories; create analyzed knowledge-base pages; extract names and companies; and maintain links between related pages.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cyberbird2048/gbrainmcp-clean/media-ingest
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add cyberbird2048/gbrainmcp-clean --skill media-ingest
Clone the repo
git clone --depth 1 https://github.com/cyberbird2048/gbrainmcp-clean

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for media-ingest

README.md
[![agentmods](https://agentmods.dev/badge/skills/cyberbird2048/gbrainmcp-clean/media-ingest/github.svg)](https://agentmods.dev/skills/cyberbird2048/gbrainmcp-clean/media-ingest)
Your own site
<a href="https://agentmods.dev/skills/cyberbird2048/gbrainmcp-clean/media-ingest"><img src="https://agentmods.dev/badge/skills/cyberbird2048/gbrainmcp-clean/media-ingest/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for media-ingest

Your own site · 80×15
<a href="https://agentmods.dev/skills/cyberbird2048/gbrainmcp-clean/media-ingest"><img src="https://agentmods.dev/badge/skills/cyberbird2048/gbrainmcp-clean/media-ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 917 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.00917
Opus 5 $0.00026 $0.00458
Sonnet 5 $0.00010 $0.00183
Haiku 4.5 $0.00005 $0.00092

Measured 11d ago against content hash 33db12830ed3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

media-ingest scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/media-ingest/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Media Ingest Skill

Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain.

Filing rule: Read skills/_brain-filing-rules.md before creating any new page.

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.md for 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
PDF 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:

  1. Check brain for existing page
  2. Create/enrich if needed (delegate to enrich skill)
  3. Add back-link from entity page to this media page
  4. Add timeline entry on entity page

Read the full file on GitHub · 122 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 122 lines · 52 tokens per session scan A 33db12830ed3

Subscribe to this mod's changes

media-ingest is a skill published in the GitHub repository cyberbird2048/gbrainmcp-clean (0 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 917 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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