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/dsm5e/aso-trackernpx agentmods add skills/dsm5e/aso-tracker/higgsfield-recipesWrote 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-recipes)<a href="https://agentmods.dev/skills/dsm5e/aso-tracker/higgsfield-recipes"><img src="https://agentmods.dev/badge/skills/dsm5e/aso-tracker/higgsfield-recipes/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-recipes"><img src="https://agentmods.dev/badge/skills/dsm5e/aso-tracker/higgsfield-recipes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00055 | $0.02858 |
| Opus 5.5 | $0.00022 | $0.01143 |
| Sonnet 5.5 | $0.00011 | $0.00572 |
| Haiku 4.5 | $0.00006 | $0.00286 |
Grade A, and why
higgsfield-recipes 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 1mo 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.
This is a copy
100% identical to higgsfield-recipes — 39 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield Genre Recipe Templates
Each recipe is a ready-to-adapt template. Fill in the bracketed fields with your specific details. All examples are compliant — no real names or IPs.
Recipe 1: Action / Chase
Core pattern: Establish → Pursuit → Obstacle → Climax Best models: Kling 2.6, Sora 2 Camera: Action Run, FPV Drone, Crash Zoom In, Bullet Time Style: Cinematic or Anamorphic
Template:
[Subject description — clothing, build, energy] sprints through [environment].
Camera: Action Run — low behind them, matching pace.
[Obstacle appears — what is it]. They [dodge action], barely clearing it.
The camera Whip Pans to [pursuer/threat].
Bullet Time as [climax action — punch, leap, collision].
Style: Cinematic, high contrast, [warm/cold] tones. [Aspect ratio].
Example:
A woman in a tactical jacket sprints through a rain-soaked night market,
weaving between stalls and startled vendors.
Camera: Action Run — low behind her, matching her sprint.
A metal gate drops ahead. She slides under it without breaking stride.
Whip Pan to the two men pursuing her through the crowd.
Bullet Time as she leaps from a loading dock onto a moving truck below.
Style: Cinematic, cold blue shadows, amber market light. 16:9.
Recipe 2: Emotional Drama / Character Moment
Core pattern: Establish space → Reveal character state → Emotional beat Best models: Kling 2.6, Kling 3.0 Camera: Dolly In, Arc, Head Tracking, Focus Change Style: Cinematic, Super 8MM
Template:
[Character — appearance, posture, state] is in [intimate environment].
[What they are doing — quiet action revealing emotion].
Camera: slow Dolly In toward [their face / hands / significant object].
[Something shifts — they react, realize, remember].
Style: [Cinematic / Super 8MM], [lighting — golden / overcast / practical only].
[Color grade — warm/cool, contrast level].
Example:
A man in his 60s sits alone at a kitchen table. An old letter in his hands.
He reads slowly, lips barely moving, eyes growing distant.
Camera: slow Dolly In toward his face.
He looks up at the empty chair across from him.
Style: Cinematic. Warm late-afternoon window light, soft shadows.
Slightly desaturated. 16:9.
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.
- 1mo ago First seen · 316 lines · 55 tokens per session scan A bae8e7626b02
higgsfield-recipes is a skill published in the GitHub repository dsm5e/aso-tracker (148 stars, last pushed 25d ago), licensed MIT. It adds 55 tokens to every session and 2,858 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to higgsfield-recipes, differing in 39 lines, and is treated as a copy.
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