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 dsm5e/aso-tracker --skill higgsfield-promptsgit clone --depth 1 https://github.com/dsm5e/aso-trackerWrote 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/dsm5e/aso-tracker/higgsfield-prompts)<a href="https://agentmods.dev/skills/dsm5e/aso-tracker/higgsfield-prompts"><img src="https://agentmods.dev/badge/skills/dsm5e/aso-tracker/higgsfield-prompts/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/dsm5e/aso-tracker/higgsfield-prompts"><img src="https://agentmods.dev/badge/skills/dsm5e/aso-tracker/higgsfield-prompts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 9 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 Anti-Refusal · line 33 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
- high System Prompt Leakage · line 206 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- medium Agent Snooping · line 32 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 39 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 67 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 80 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 168 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 91 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 257 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00147 | $0.03325 |
| Opus 5 | $0.00073 | $0.01663 |
| Sonnet 5 | $0.00029 | $0.00665 |
| Haiku 4.5 | $0.00015 | $0.00332 |
Grade A, and why
higgsfield 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 11d 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 — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield AI Prompt Skill
Language rule: Reply in whatever language the user writes in.
MANDATORY WORKFLOW — do these in order, every time
For ANY Higgsfield-related request, follow this contract:
- Route the request. Match the user's ask to the routing table in the "Route to the Right Skill" section below, and open the matching sub-skill file(s) with the read tool BEFORE writing any prompt or advice. Do not rely on prior knowledge — platform vocabulary, preset names, and model parameters must be read fresh from the skill files, because this platform's lineup changes between releases.
- Apply MCSLA (Model · Camera · Subject · Look · Action) to every video prompt unless the user explicitly opts out. Full definition lives in
skills/higgsfield-prompt/SKILL.md. - Use named platform vocabulary only. Camera names, motion presets, and style tokens must come from
vocab.mdor the relevant sub-skill. Do not invent terms the platform doesn't recognize — invented names silently degrade generations without warning. - Append shared negative constraints from
skills/shared/negative-constraints.mdbefore delivering any prompt. - On the first Higgsfield response in a conversation, state ONE short line naming which sub-skill you're routing to. Example: "Routing to higgsfield-prompt + higgsfield-camera for a cinematic chase." One line only, then proceed with the work.
HARD RULES (do not skip under any circumstances)
- NEVER write a Higgsfield prompt without reading at least
skills/higgsfield-prompt/SKILL.mdfirst in the current conversation. - NEVER substitute generic video-prompt vocabulary for named Higgsfield presets.
- NEVER skip MCSLA structure on video prompts.
- NEVER invent model versions, camera presets, or motion preset names. If the user names one you don't see in the skill files, say so and ask for clarification.
- If you find yourself thinking "I already know how to do this from training" — stop. Read the file. Your training data for this platform is stale.
What ships with it
60 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.
- .claude/commands/release.md 944 B
- .claude/commands/validate.md 312 B
- .claude/rules/cinematic-vocab.md 306 B
- .claude/rules/image-models.md 300 B
- .claude/rules/model-reference.md 278 B
- .claude/rules/photodump-presets.md 258 B
- .claude/rules/prompt-formula.md 293 B
- .claude/settings.json 227 B
- .gitattributes 34 B
- .gitignore 328 B
- .markdownlint.json 120 B
- CHANGELOG.md 101 KB
- CLAUDE.md 2.4 KB
- CONTRIBUTING.md 1.1 KB
- db/filter-memory.json 3.6 KB
- db/memory-summary.md 4.4 KB
- db/quality-memory.json 5.5 KB
- docs/pdf-audit/AUDIT-REPORT-v3.6.0.md 30 KB
- docs/pdf-audit/AUDIT-REPORT.md 47 KB
- docs/Seedance 2 Skill.md 17 KB
- docs/v3-audit-report.md 3.7 KB
- docs/v3-inventory.md 7.0 KB
- generate_user_guide.py 43 KB runs code
- higgsfield_memory.py 15 KB runs code
- image-models.md 18 KB
- LICENSE 1.0 KB
- model-guide.md 13 KB
- photodump-presets.md 4.6 KB
- prompt-examples.md 24 KB
- README.md 8.3 KB
- seedance_lint.py 16 KB runs code
- skills/higgsfield-apps/SKILL.md 6.0 KB
- skills/higgsfield-assist/SKILL.md 8.5 KB
- skills/higgsfield-audio/SKILL.md 13 KB
- skills/higgsfield-camera/SKILL.md 16 KB
- skills/higgsfield-cinema/SKILL.md 95 KB
- skills/higgsfield-image-shots/SKILL.md 18 KB
- skills/higgsfield-mixed-media/SKILL.md 8.9 KB
- skills/higgsfield-models/MODELS-DEEP-REFERENCE.md 52 KB
- skills/higgsfield-models/SKILL.md 16 KB
- skills/higgsfield-moodboard/SKILL.md 8.4 KB
- skills/higgsfield-motion/SKILL.md 17 KB
- skills/higgsfield-pipeline/SKILL.md 22 KB
- skills/higgsfield-prompt/SKILL.md 24 KB
- skills/higgsfield-recall/SKILL.md 6.6 KB
- skills/higgsfield-recipes/SKILL.md 12 KB
- skills/higgsfield-seedance/SKILL.md 17 KB
- skills/higgsfield-soul/SKILL.md 19 KB
- skills/higgsfield-style/SKILL.md 10.0 KB
- skills/higgsfield-troubleshoot/SKILL.md 11 KB
- skills/higgsfield-vibe-motion/SKILL.md 10 KB
- skills/higgsfield-workspaces/SKILL.md 14 KB
- skills/shared/negative-constraints.md 11 KB
- templates/01-cinematic-action-chase.md 4.0 KB
- templates/02-product-ugc-showcase.md 4.1 KB
- templates/03-horror-atmosphere.md 4.2 KB
- templates/04-fashion-editorial.md 4.1 KB
- templates/05-sci-fi-vfx.md 4.4 KB
- templates/06-portrait-character-intro.md 4.3 KB
- templates/07-landscape-establishing-shot.md 3.8 KB
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.
- 11d ago First seen · 262 lines · 147 tokens per session scan A ea34c33744b8
higgsfield is a skill published in the GitHub repository dsm5e/aso-tracker (137 stars, last pushed 25d ago), licensed MIT. It adds 147 tokens to every session and 3,325 once invoked, about $0.0007 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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