List your data on Graunt

I want to sell my data on Graunt (graunt.com). Package it as a ready packet: a folder Graunt can check and list without rewriting anything.

1. Build this folder:
   <packet-name>/
     graunt/packet.json   the listing declarations (format below)
     metadata.csv         optional: one row per source file (filename, title, description, source_url, rights, citation)
     <source files>       my files, unchanged
   Graunt reads:
   - folder - a directory of source files plus an optional metadata.csv
   - zip - a safe archive of the same (no traversal, no absolute paths, no symlinks)
   - metadata.csv - one row per source file, joined to the files by path / basename / sha256
   - source files - text, Markdown, CSV/TSV, JSON/JSONL, XML, YAML, HTML, PDF, Word (DOCX), Excel (XLSX), RTF, source code (Python, JavaScript, TypeScript, Go, Rust, Java and the rest of a repository, history as .patch), Parquet, audio (MP3, WAV, M4A, FLAC, OGG), video (MP4, MOV, WEBM, MKV, AVI) and images (PNG, JPG, GIF, WEBP)

2. Write graunt/packet.json as one JSON object with these fields:
   - schema (required): the literal "graunt/packet-prefill/v1"
   - name (required): the packet's listing title (1-200 chars)
   - summary (required): what the packet contains and who it is for (1-2000 chars)
   - use_when: one sentence, at most 240 chars: the situation in which a buyer or an AI agent should reach for this packet
   - price.amount_cents (required): integer cents; 0 = free, paid must clear the paid order minimum
   - price.monthly_cents / price.annual_cents: subscription plan prices in integer cents; annual without monthly is the annual-only plan
   - rights.rights_basis (required): OWNED_ORIGINAL | GOVERNMENT_WORK | PUBLIC_DOMAIN | CC0 | LICENSED_REDISTRIBUTABLE | SYNTHETIC_SELF_GENERATED
   - rights.training_allowed (required): boolean - may buyers train models on this content
   - rights.redistribution_allowed (required): boolean - may buyers redistribute the content
   - rights.ai_generation (required): whether an AI model generated any of the content: {"extent": "NONE"}, {"extent": "PARTIAL", "share_percent": 1-99, "description": "what part a model made"}, or {"extent": "FULL"} with an optional description of what made it. Not needed when rights_basis is SYNTHETIC_SELF_GENERATED, which already says FULL
   - rights.license_family / rights.citation_required: license family label and citation flag when applicable
   - provenance.source_url / provenance.publisher: where the material came from; strengthens the packet, never fabricated
   - tags / intended_uses: topic tags, and intended_uses naming one of ai_training, ai_reference, agent_tool, evaluation, analytics
   The file is complete when name, summary, price.amount_cents, rights.rights_basis, rights.training_allowed, rights.redistribution_allowed, and rights.ai_generation are all present and valid. Partial prefills still ingest - the Refinery flags exactly what is missing.

3. If my files include audio or video recordings, make these too, on my own computer with free tools (ffprobe, sha256sum, faster-whisper, PySceneDetect, ffmpeg), and put them in the folder:
   - <recording>.transcript.md (faster-whisper): beside the recording: one line per spoken passage, written as [hh:mm:ss] then the words, in the language spoken
   - <video>.scenes.csv (PySceneDetect): beside the video: one row per scene with the columns scene, start_seconds, end_seconds, thumbnail
   - thumbnails/<video>-<scene>.jpg (PySceneDetect): one still image per scene, named in the scene list
   - samples/<recording>-sample.mp4 (or .mp3) (ffmpeg): a clip of about 30 seconds; the full recording stays unchanged
   - recordings.csv (sha256sum and ffprobe): one row per recording with the columns filename, sha256, duration_seconds, width and height (width and height left blank for audio)
   Leave every recording itself unchanged. Write the commands for me to run if you cannot run them yourself.

4. Rules:
   - Ask me for what you cannot read from my files: the price, the rights basis, whether buyers may train on it, whether they may redistribute it, whether an AI model generated any of it, and where the material came from. Never guess rights or AI generation.
   - Use only facts from my files. Do not invent sources, dates, coverage or quality claims.
   - Write the summary for a buyer: who it is for and what job it does, then what is inside.
   - Fill use_when and intended_uses as well. When the file declares every listing field, Graunt lists the packet without drafting anything.
   - If a file is a scan, a picture of text or a recording, put its text in a .txt or .md file beside it. Graunt reads no text out of a ready packet's scans, images or recordings on its own, so the packet carries its own text.
   - Each file can be up to 5 GB, and the packet up to 50 GB and 2,000 files.

5. When you are done, give me graunt/packet.json as one JSON block and show the folder as it should look.

Then I check graunt/packet.json free at graunt.com/prepare (or POST it to api.graunt.com/v1/refinery/validate as {"packet_json": <file>}), and upload the folder or a zip of it at graunt.com/studio/refinery.

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