Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-character-designgit clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skillWrote 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/osidemedia/higgsfield-ai-prompt-skill/higgsfield-character-design)<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-character-design"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-character-design/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/osidemedia/higgsfield-ai-prompt-skill/higgsfield-character-design"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-character-design.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 | $0.00161 | $0.06116 |
| Opus 5.5 | $0.00064 | $0.02446 |
| Sonnet 5.5 | $0.00032 | $0.01223 |
| Haiku 4.5 | $0.00016 | $0.00612 |
Grade A, and why
higgsfield-character-design 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 29d 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 — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield Character Design — Story Bible
The rest of this skill library answers "how do I prompt this?" This skill answers the question upstream of it: "what am I prompting, and why this and not generic AI slop?" It is the pre-production layer — premise, world, character, story, and a locked visual style — that you build before writing a single generation prompt, then hand off to higgsfield-prompt and the model guides.
Attribution. The framework, worksheet structure, and the "world first" method are adapted from Higgsfield's official Character Design materials by @vavavinca. We reuse the schemas and method; all examples here are original. Credit Vinca when sharing.
QUICK FACTS
Routing aids — read the linked sections for the actual method.
- World first, always. Lock the world before you cast a character; the world is the gravity that shapes who they have to become →
- Six steps, each locks an output you do not revisit: Premise → World → Character → Story Spine → Style Sheet → hand-off →
- The flagship artifact is the 9-Question Character Sheet — thematic role, external/internal goal, psychological/moral need, wound, spark, silhouette, contradiction →
- The strongest anti-slop tool is the Forbidden List in the Style Sheet — naming what the world is NOT is often more useful than the palette →
- Specificity beats adjectives: if any character could say it, it's a stereotype; keep asking "why?" until the answer surprises you →
- Fillable worksheets live in
../../templates/character-design/— hand them to the user or fill them together → - Construction laws for the sheet as an artifact: plain grey background · creature sheets get two close-ups (mouth open + closed) · the face-lock crop · a size-ref frame for scale at extreme ratios no true landmark can express [FIELD] — grey and the one-face law are canonical in
../../templates/ad-asset-prep.md→ - Once the character looks right, don't jump to scenes — run a screen test: casting read → role options → playable lines → voice triggers → one audition prompt [EMPIRICAL] →
- This skill produces inputs; it does not generate. Hand the locked Visual DNA + character sheet to
higgsfield-prompt→
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.
- 29d ago Changed · +19 lines 767c8f2778c0
- 1mo ago First seen · 296 lines · 161 tokens per session scan A 9fc392d64ac7
higgsfield-character-design is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (800 stars, last pushed 2d ago), licensed MIT. It adds 161 tokens to every session and 6,116 once invoked, about $0.0006 per session on Opus 5.5. 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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