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-image-shotsWrote 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-image-shots)<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-image-shots"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-image-shots/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-image-shots"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-image-shots.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 | $0.00104 | $0.04834 |
| Opus 5.5 | $0.00042 | $0.01934 |
| Sonnet 5.5 | $0.00021 | $0.00967 |
| Haiku 4.5 | $0.00010 | $0.00483 |
Grade A, and why
higgsfield-image-shots 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- higgsfield-image-shots — 94% identical, 18 lines differ
How it starts
The opening of the file, as written. The whole thing — 463 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield Cinematic Image Prompting
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.
- Scope: still-image composition only;
[img 1]is the Soul ID / uploaded reference token — replace with a character description or @ Element when no reference is used → - Base pattern: [Shot keyword] of [img 1 or character description] + [pose/action] + [environment detail] + [lighting/atmosphere] →
- 10 framing sizes, EWS → Macro: EWS tiny-in-landscape, Wide full body, Full head-to-toe, MLS knees up, Cowboy mid-thigh up, Medium waist up, MCU chest up, CU face, ECU single detail, Macro texture →
- Framing keywords: "EWS, Vast, Landscape" / "Wide Shot, Full Body" / "Cowboy Shot" / "MCU" / "Close-Up" / "ECU" / "Macro" →
- 10 angles: Eye-Level, Low Angle, High Angle, Overhead, Worm's Eye, Dutch/Canted, OTS, POV, Selfie, Ground Level →
- Angle = emotional read: Low = power, High = vulnerability, Dutch = unease/chaos, Worm's Eye = extreme power/surreal →
- Multi-word angle keywords: "POV, First Person Perspective" / "Selfie Angle, Arm's Length" / "Ground Level, Surface View" →
- OTS = looking past one person's shoulder at another — essential for dialogue →
- Movement keywords create the FEELING of motion in a single frame — motion blur, implied movement, frozen mid-movement →
- Static/Basic movements: Static, Pan, Tilt, Zoom In / Zoom Out, Pedestal Up/Down →
- Advanced Physical movements: Dolly In, Dolly Out, Truck Left/Right, Orbit, Crane →
- Cinematic & AI movements: Dolly Zoom (Vertigo), Crash Zoom, FPV, Bullet Time, Handheld Follow, Camera Roll, Rack Focus, Pull Back Reveal, Fly-Through →
- Strongest prompts layer all three: [Distance/Size] + [Angle] + [Movement hint] + Subject + Environment + Lighting →
- Full formula closes with [Lighting — time of day, source, quality] then [Style — cinematic, film stock, color grade] →
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 f4ef536527c4
- 1mo ago First seen · 463 lines · 104 tokens per session scan A 61baa2ec0929
higgsfield-image-shots is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (800 stars, last pushed 2d ago), licensed MIT. It adds 104 tokens to every session and 4,834 once invoked, about $0.0004 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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