Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skillnpx agentmods add skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-soulWrote 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-soul)<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-soul"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-soul/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-soul"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-soul.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Memory Poisoning · line 235 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- medium YARA Match · line 711 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00086 | $0.11942 |
| Opus 5 | $0.00043 | $0.05971 |
| Sonnet 5 | $0.00017 | $0.02388 |
| Haiku 4.5 | $0.00009 | $0.01194 |
Grade A, and why
higgsfield-soul 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 — 1,001 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield Soul ID — Character Consistency
QUICK FACTS
Generated-checked block (scripts/build_index.py verifies anchors). Read the linked sections for full context — these lines are routing aids, not the rules themselves.
- Hard rule: every Soul ID prompt splits into Identity Block (static descriptors only) + Motion Block (temporal/camera only) →
- Don't re-describe the face or core features — only describe what differs from the base character →
- Reference image rules: front or 3/4 angle, even lighting, neutral-to-slight expression, no blur, solo subject →
- Reference generators: Soul 2.0 (fashion-forward), Nano Banana Pro (max sharpness), Seedream 4.5 (style range) →
- Character sheet angles: front face, 3/4, side profile, optional full body + optional embedded prop sheets →
- Two-image floor per character: one clear face + one full body, on neutral grey — never a single image →
- Prefer the single-prompt 3×2 six-panel sheet (one 16:9 generation) — identity locks better than multi-step assembly →
- Outfit change without identity drift: split-panel sheet — ghost-mannequin outfit LEFT + "face matches input 100%" close-up RIGHT →
- Crowds: a single-character reference makes a clone army — build a multi-character lineup and declare it a "VARIETY reference" →
- Character Anchor Block = 10 per-shot attributes (identity, screen position, depth layer, frame occupancy, orientation, pose, gaze, contact points, state lock, expression) →
- One Soul ID sheet PER character state — 5 transformation stages = 5 distinct sheets; the prompt names the stage →
- Micro-expression presets: 9 core + 10 extended →
- Cinema Studio: identity goes in the @ Element definition, motion goes in the prompt field →
- Soul Cast is Business/Team plans only; 8 parameter categories incl. 12 Archetypes, Budget $10M–$500M, Era 1900s–2020s →
- Soul Cast specs: up to 4K (Character/Location modes) / 2K (General); batch 1 or 10; 0.125 credits per image →
- Use 2–3 reference shots (frontal, 3/4, side); if features drift, use the character sheet as @Image1 →
- Soul Cinema is the default CS 3.0/3.5 image-mode model — single-step, ~0.125 credits/image →
- Studio-feeling output is an intermediate, not a final — re-pass through Soul Cinema with grade, directional lighting, lens character →
- Skip Soul ID for single shots or when you want maximum creative variation →
- Plasticky face in wide shots: crop the face from a closer-shot panel and replace it in post →
- Casting a REAL person: the sheet alone returns a lookalike — erase the head on the body panels and paste their actual photo into the portrait panel →
- Run the same sheet prompt through 2–3 image models and compare before locking; the deciding axis changes per character →
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 · 1,001 lines · 86 tokens per session scan A 6cb4acb739f7
higgsfield-soul is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (531 stars, last pushed 20d ago), licensed MIT. It adds 86 tokens to every session and 11,942 once invoked, about $0.0004 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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