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 pixelab-ch/higgsfield-skills --skill 05-fight-scenesgit clone --depth 1 https://github.com/pixelab-ch/higgsfield-skillsWrote 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/pixelab-ch/higgsfield-skills/05-fight-scenes)<a href="https://agentmods.dev/skills/pixelab-ch/higgsfield-skills/05-fight-scenes"><img src="https://agentmods.dev/badge/skills/pixelab-ch/higgsfield-skills/05-fight-scenes/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/pixelab-ch/higgsfield-skills/05-fight-scenes"><img src="https://agentmods.dev/badge/skills/pixelab-ch/higgsfield-skills/05-fight-scenes.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 | $0.00130 | $0.01734 |
| Opus 5.5 | $0.00052 | $0.00694 |
| Sonnet 5.5 | $0.00026 | $0.00347 |
| Haiku 4.5 | $0.00013 | $0.00173 |
Grade A, and why
higgsfield-fight-scenes 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.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield Fight Scenes Skill
What this skill does
Crafts production-ready fight scene and action sequence video prompts and routes them to the best Higgsfield model for cinematic combat output. On request, it assembles the full parameter set, surfaces the credit cost, and — after explicit user confirmation — generates the asset via the opt-in generation flow.
This skill masters translating explosive action choreography into vivid video prompts with cinematic precision, visceral impact, and rhythm that feels both dynamic and purposeful. It covers unarmed combat (15+ martial arts disciplines), weapon combat, fantasy/elemental fights, superhero battles, chase sequences, and multi-combatant coordination.
Model routing
Primary and fallback video models
| cinematic_studio_3_0 (primary) | kling3_0 (fallback) | |
|---|---|---|
| Rationale | Dedicated cinematic pipeline; default for all fight scenes and action video | Use only when primary is unavailable, or user wants mode / sound control |
| Aspect ratios | 16:9, 9:16, 1:1 |
16:9, 9:16, 1:1 |
| Duration | 4–15 s (continuous range) | 3–15 s (continuous range; minimum is 3 s) |
| Tunable params | None — pass only aspect_ratio and duration |
mode {std, pro, 4k}; sound {on, off} |
| Media roles | image, start_image, end_image |
start_image, end_image only |
Important note on kling3_0 mode: 4k: The 4k option is a mode enum (a
generation pipeline variant), NOT a claim about 4K output-file resolution. No video model
in this skill outputs 4K files. Max resolution for fight-scene video generation is
determined by the model's internal pipeline, not by the mode value.
Routing rule: Use cinematic_studio_3_0 by default. Only fall back to kling3_0
when (1) the primary model is unavailable, or (2) the user explicitly accepts kling3_0's
constraints after being told what they give up: no image media role (only
start_image/end_image), and a different cinematic pipeline aesthetic. Gains:
mode control (std/pro/4k generation variant) and sound option. If the user has
not been informed of these trade-offs, stay on cinematic_studio_3_0 and let them
decide — never switch silently.
What ships with it
4 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.
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 · 133 lines · 130 tokens per session scan A 516004baa3f4
higgsfield-fight-scenes is a skill published in the GitHub repository pixelab-ch/higgsfield-skills (10 stars, last pushed 5mo ago), licensed MIT. It adds 130 tokens to every session and 1,734 once invoked, about $0.0005 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 2026-08-31.
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