Borrowing it
Nothing to install: this file belongs to jordanurbs/venice-video-harness. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jordanurbs/venice-video-harness/main/.agents/commands/workshop-episode.mdgit clone --depth 1 https://github.com/jordanurbs/venice-video-harnessWrote 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.
[](https://agentmods.dev/commands/jordanurbs/venice-video-harness/workshop-episode)<a href="https://agentmods.dev/commands/jordanurbs/venice-video-harness/workshop-episode"><img src="https://agentmods.dev/badge/commands/jordanurbs/venice-video-harness/workshop-episode/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.
<a href="https://agentmods.dev/commands/jordanurbs/venice-video-harness/workshop-episode"><img src="https://agentmods.dev/badge/commands/jordanurbs/venice-video-harness/workshop-episode.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00813 |
| Opus 5 | $0.00000 | $0.00407 |
| Sonnet 5 | $0.00000 | $0.00163 |
| Haiku 4.5 | $0.00000 | $0.00081 |
Grade A, and why
workshop-episode 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.
What it actually says
Workshop an episode script collaboratively with the user.
Direct before you draft. If the idea is vague, run the Seedance 2.0 Skill OS seedance-interview (short form for a fast brief); for a longer or multi-clip story run seedance-sequence to set the story spine and one directorial voice. Then, for every shot, name one intention and derive camera/light/blocking/performance/sound from it — do NOT stack "cinematic" adjectives. Read each drafted description back through directing-engine, and strip empty quality-boosters with seedance-antislop + vocab/*. If Seedance OS isn't installed, apply the same principle from memory (see this repo's README "Directing layer"). The in-code workshop system prompt (src/mini-drama/cli.ts) already carries this instruction; a directed concept from the user is what makes it land.
Author the geometry, not just the action (rule 49). Spatial consistency is
built into the script, not patched at generation time. Give every location a
spatialAnchors field (3-5 named landmarks and their fixed relative positions)
and every character shot a blocking field: each character/object's position
relative to those named anchors, their frame side (screen left/center/right),
depth (foreground/background), and facing/eyeline. Across consecutive shots in
a scene, characters keep their screen sides and relative positions unless a
movement is written into the action; preserve screen direction and eyelines
(180-degree rule); close-ups still name what's behind/beside the subject.
- Ask the user for the episode concept/outline (what happens in this episode?)
- Draft a shot-by-shot script in the EpisodeScript JSON format
- Each shot should specify:
- type (establishing/dialogue/action/reaction/insert/close-up)
- duration (3s/5s/8s/10s/13s/15s)
- videoModel ("action" for movement/dialogue, "atmosphere" for establishing/static)
- description (visual scene description)
- location (slug of a defined location)
- blocking (concrete geometry: positions vs named location anchors, frame side, depth, facing/eyeline — consistent with adjacent shots)
- characters present
- dialogue (if any)
- sfx (optional sound effects hint)
- cameraMovement
- transition -- affects video generation frame handling:
- CUT (default): sharp edit, each shot starts from its own panel, ends naturally
- FADE: gentle transition, chains start frame from previous video
- DISSOLVE: smooth blend, chains start frame AND targets next panel as end frame
- MATCH CUT: compositional match, chains start + targets end frame
- SMASH CUT: abrupt jarring cut, no linking at all Use CUT for most shots. Only use DISSOLVE/MATCH CUT when you specifically want the video to morph toward the next panel's composition.
- dialogue delivery (tone/manner for voice generation, e.g. "in a cold manner", "nervously", "whispering seductively")
- Total duration should target ~60 seconds
- Present the script to the user for review/edits
- Once approved, save to the episode directory:
npx tsx src/mini-drama/cli.ts new-series # (if needed to ensure episode dir exists)
Then write the script.json to: output//episodes/episode-NNN/script.json
The script format:
{
"episode": 1,
"title": "The Betrayal",
"seriesName": "series-name",
"totalDuration": "60s",
"shots": [...]
}
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.
- 11d ago First seen · 56 lines · 0 tokens per session scan A 813aad3a12d2
workshop-episode is a command published in the GitHub repository jordanurbs/venice-video-harness (30 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 813 tokens. 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 2026-08-30.
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