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/skills/venice-ui-production/SKILL.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/skills/jordanurbs/venice-video-harness/venice-ui-production)<a href="https://agentmods.dev/skills/jordanurbs/venice-video-harness/venice-ui-production"><img src="https://agentmods.dev/badge/skills/jordanurbs/venice-video-harness/venice-ui-production/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/skills/jordanurbs/venice-video-harness/venice-ui-production"><img src="https://agentmods.dev/badge/skills/jordanurbs/venice-video-harness/venice-ui-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 10 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 264 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.02514 |
| Opus 5 | $0.00000 | $0.01257 |
| Sonnet 5 | $0.00000 | $0.00503 |
| Haiku 4.5 | $0.00000 | $0.00251 |
Grade A, and why
venice-ui-production 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Venice UI Episode Production Skill
Description
Plan and produce mini-drama episodes for manual generation through the Venice AI web UI (venice.ai) instead of the automated CLI pipeline. Outputs a complete shot-by-shot production guide with copy-paste-ready image prompts, video prompts, frame reference instructions, and Venice UI settings.
When To Use
Use this skill when the user wants to:
- Create an episode using the Venice web interface manually (not
npx tsx src/mini-drama/cli.ts) - Get a production-ready prompt guide they can work through shot by shot in a browser
- Plan an episode with all prompts, settings, and frame references documented in one place
Workflow
Step 1 — Gather Series Context
Read these files to understand the series state:
output/<series>/series.json— aesthetic, characters (names, descriptions, wardrobe, voice descriptions), seed, video defaults- Previous episode scripts —
output/<series>/episodes/episode-NNN/script.json— for story continuity - Character references —
output/<series>/characters/<name>/front.png— for visual consistency notes
Extract from series.json:
aesthetic.style,aesthetic.palette,aesthetic.lighting,aesthetic.lensCharacteristics,aesthetic.filmStock→ build the aesthetic prefix and aesthetic bookendaestheticSeed→ the fixed seed for all image generation- Each character's
fullDescription,wardrobe,voiceDescription
Step 2 — Write the Episode Script
Collaborate with the user on story beats. Target ~55-60 seconds total runtime across 8-12 shots.
For each shot, determine:
- Type: establishing, action, dialogue, close-up, insert, atmosphere
- Duration: 3s / 5s / 8s / 10s / 13s (see duration guide below)
- Video model recommendation: action (Kling V3 Pro) or atmosphere (Kling V3 Pro or Veo 3.1)
- Characters present: with full descriptions for the image prompt
- Dialogue: character, line, and delivery cue (tone/manner/emotion)
- Camera movement: dolly, tracking, crane, static, pan, push-in, etc.
- Transition to next shot: CUT, FADE, DISSOLVE, MATCH CUT, SMASH CUT
- SFX / ambient: what sounds should be present
- Subtitles: formatted as
CHARACTER: "Line"
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.
- 12d ago First seen · 273 lines · 0 tokens per session scan A cc8b7fe4cf55
venice-ui-production is a skill published in the GitHub repository jordanurbs/venice-video-harness (30 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,514 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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