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/character-consistency/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/character-consistency)<a href="https://agentmods.dev/skills/jordanurbs/venice-video-harness/character-consistency"><img src="https://agentmods.dev/badge/skills/jordanurbs/venice-video-harness/character-consistency/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/character-consistency"><img src="https://agentmods.dev/badge/skills/jordanurbs/venice-video-harness/character-consistency.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.01764 |
| Opus 5.5 | $0.00000 | $0.00706 |
| Sonnet 5.5 | $0.00000 | $0.00353 |
| Haiku 4.5 | $0.00000 | $0.00176 |
Grade A, and why
character-consistency 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 2mo 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Character Consistency Skill
Description
Maintain visual consistency for characters across all storyboard panels and video clips using a multi-layer approach covering prompt construction, reference generation, multi-edit refinement, and R2V video anchoring.
Layer 1: Exhaustive Text Description
Every character in every shot prompt receives their complete locked description. No abbreviations, no "same as before." The model sees the full description each time.
Description Format
CHARACTER_NAME: [age]-year-old [ethnicity/appearance], [hair description],
[facial features], [eye description], [build/height],
[distinguishing features], wearing [wardrobe]...
Description Fields
- Age range (e.g., "mid-30s", "early 50s")
- Ethnicity/general appearance
- Hair: color, length, style, texture
- Eyes: color, shape, notable features
- Face: shape, notable features (cheekbones, jaw, etc.)
- Build: body type, approximate height
- Distinguishing marks: scars, tattoos, glasses, etc.
- Default wardrobe + scene-specific wardrobe changes
Layer 2: Reference Image Generation & Seed Anchoring
Prompt Structure for References (CRITICAL)
Style descriptions must be front-loaded in the prompt to prevent style drift between angles:
STYLE: [full aesthetic string]. [angle description]. [character description].
[base traits]. [no-layout instructions]. [wardrobe].
STYLE REMINDER: [style], [film stock].
Anti-pattern: Putting aesthetic at the END causes the model to commit to a rendering style before seeing style instructions, producing inconsistent angles (e.g., front is cartoon, profile is photorealistic).
Generation Parameters
- cfg_scale: 10 (not 7 — higher values enforce tighter prompt adherence and prevent style drift)
- Negative prompt must include:
photorealistic, photograph, photoalongside standard negative terms — this prevents the model from drifting toward realism when the target aesthetic is stylized/illustration - Fixed seed per character, recorded at lock time
- Resolution: 1K, aspect ratio 1:1 for references
- Image model:
nano-banana-2(the global default insrc/characters/reference-manager.ts). Seedance 2.0 used to accept face-bearing inputs only fromseedream-v5-lite, but Venice removed that restriction (2026-07) — any image family works for character reference sheets now, regardless of whether the project targets Seedance, Kling, or Veo.
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.
- 2mo ago First seen · 140 lines · 0 tokens per session scan A 03952346fe3a
character-consistency is a skill published in the GitHub repository jordanurbs/venice-video-harness (33 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,764 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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