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 OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-3dgit clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skillWrote 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-3d)<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-3d"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-3d/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-3d"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-3d.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 | $0.00287 | $0.07769 |
| Opus 5.5 | $0.00115 | $0.03108 |
| Sonnet 5.5 | $0.00057 | $0.01554 |
| Haiku 4.5 | $0.00029 | $0.00777 |
Grade A, and why
higgsfield-3d 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 19d 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 — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield 3D — Meshes, Rigs, and 3D Jutsu Scenes
QUICK FACTS
Routing aids — read the linked sections for the full rules. Nothing in this sub-skill is field-tested.
- 17 3D models in the 2026-09-26 snapshot, six jobs: single image→3D, multi-view→3D, text→3D, rig, remesh / retexture, 3D Body →
- THE law: the mesh reproduces only what is in the source image — to add or change props, clothing or held objects, edit the IMAGE first, then convert the edited result →
- Multi-view beats single-view for geometry: 2–4 views of the same subject →
multi_image_to_3d/tripo_h3_1_multiview_to_3d→ - The
promptfield: the MCP schema says onlysam_3_3daccepts one; the CLI marks it REQUIRED on the three text→3D models — send it there, confirm withget_cost→ - Server-enforced rules: animation needs rigging; texture options need texturing ON; Hunyuan std caps the prompt at 200 characters and has no PBR →
- Rig + animate: humanoids rig best;
animation_action_idcomes from a 678-action library (ids 0–696, not contiguous — look up, never guess) → get_cost: truepreflights for free; never auto-resubmit after a transport timeout →- 3D Jutsu = private Blender 5.2 scene projects: inspect (query) → guarded edit (run) →
show_sceneLAST → - A generated GLB cannot enter a 3D Jutsu scene — imports are curated-catalog assets only in this version →
- Film use 1: a mesh turnaround as a multi-angle reference — UNMEASURED →
- Film use 2: a 3D blockout rendered front-on from the camera's side becomes the SOURCE FRAME for the staging template — UNMEASURED →
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.
- 19d ago First seen · 395 lines · 287 tokens per session scan A 51e7e98202e5
higgsfield-3d is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (750 stars, last pushed 20d ago), licensed MIT. It adds 287 tokens to every session and 7,769 once invoked, about $0.0011 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 2026-09-28.
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