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-video-model-routing/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-video-model-routing)<a href="https://agentmods.dev/skills/jordanurbs/venice-video-harness/venice-video-model-routing"><img src="https://agentmods.dev/badge/skills/jordanurbs/venice-video-harness/venice-video-model-routing/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-video-model-routing"><img src="https://agentmods.dev/badge/skills/jordanurbs/venice-video-harness/venice-video-model-routing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Tool Misuse · line 566 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00120 | $0.09680 |
| Opus 5 | $0.00060 | $0.04840 |
| Sonnet 5 | $0.00024 | $0.01936 |
| Haiku 4.5 | $0.00012 | $0.00968 |
Grade A, and why
venice-video-model-routing 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 7d 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 — 571 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Venice Video Model Routing For Character Consistency
Route Venice AI models, reference image strategies, frame sources, and prompt formats to maximize character consistency across image panels and video clips. Includes bundled Python scripts for executing image generation, video generation, image editing, and upscaling via the Venice AI API.
Prerequisites and Setup
Requirements
- Python 3.10+ (
brew install pythonor system Python) - Venice API key (free tier available at venice.ai)
Get Your API Key
- Create an account at venice.ai
- Go to venice.ai/settings/api
- Click "Create API Key"
- Copy the key (starts with
vn_...)
Configure the Key
Option A: Environment variable
export VENICE_API_KEY="vn_your_key_here"
Option B: .env file in your project root:
VENICE_API_KEY=vn_your_key_here
Verify Setup
python3 {baseDir}/scripts/venice-image.py --list-models
python3 {baseDir}/scripts/venice-video.py --list-models
Generation Scripts
Four Python scripts handle Venice API execution. Use these to generate media, then apply the routing decisions in Sections 1-7 to choose models and parameters.
Image Generation
# Generate a storyboard panel
python3 {baseDir}/scripts/venice-image.py \
--prompt "STYLE: Korean manhwa... [scene content] ...STYLE REMINDER: manhwa, cel-shaded" \
--model nano-banana-pro \
--resolution 1K --aspect-ratio 9:16 \
--cfg-scale 10 --seed 88442211 \
--steps 30 --hide-watermark
# Generate character references (square)
python3 {baseDir}/scripts/venice-image.py \
--prompt "Front-facing reference sheet..." \
--model nano-banana-pro \
--resolution 1K --aspect-ratio 1:1
# List available image models
python3 {baseDir}/scripts/venice-image.py --list-models
# Generate multiple variants
python3 {baseDir}/scripts/venice-image.py --prompt "..." --count 4
Key flags: --model, --prompt, --resolution (1K/2K), --aspect-ratio (9:16, 16:9, 1:1), --cfg-scale (0-20, default 7.5), --seed, --steps, --negative-prompt, --style-preset, --hide-watermark, --count, --out-dir
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago Changed · +75 lines c1b40efdc06e
- 12d ago First seen · 496 lines · 120 tokens per session scan A 8f87771fe77b
venice-video-model-routing is a skill published in the GitHub repository jordanurbs/venice-video-harness (30 stars, last pushed 5d ago), licensed MIT. It adds 120 tokens to every session and 9,680 once invoked, about $0.0006 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 2026-08-30.
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