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 calesthio/generative-media-skills --skill tencent-hunyuan3dgit clone --depth 1 https://github.com/calesthio/generative-media-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/calesthio/generative-media-skills/tencent-hunyuan3d)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/tencent-hunyuan3d"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/tencent-hunyuan3d/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/calesthio/generative-media-skills/tencent-hunyuan3d"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/tencent-hunyuan3d.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 | $0.00203 | $0.05824 |
| Opus 5 | $0.00102 | $0.02912 |
| Sonnet 5 | $0.00041 | $0.01165 |
| Haiku 4.5 | $0.00020 | $0.00582 |
Grade A, and why
tencent-hunyuan3d 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 9d 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 — 388 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tencent Hunyuan3D
Hunyuan3D is Tencent's family of generative 3D models. Its defining trait is a two-stage, shape-then-texture pipeline: one model generates untextured geometry from an image (or text), a second model paints materials onto that geometry. The family spans open-weight releases you can self-host and closed tiers available only through a hosted API. Choosing correctly between those two tracks — and reading the license before you ship anything commercial — is the core production judgment this skill supports.
All version, license, hardware, and access facts below were verified 2026-07-10.
These are volatile; re-verify against first-party repos before relying on them.
Facts are labeled [fact] (documented in a primary source), [first-party claim]
(Tencent's own benchmark/marketing, not independently reproduced), or [heuristic]
(production judgment, not a documented guarantee).
When this skill applies
Use it when the request involves:
- generating a 3D object/asset from an image or text prompt;
- generating a 3D scene/world (panorama, explorable environment) — the HunyuanWorld / HY-World branch;
- deciding self-host vs hosted API, or which Hunyuan3D tier fits;
- license/compliance questions (commercial use, Territory, MAU, attribution);
- GPU sizing for local inference or ComfyUI setup;
- reviewing or post-processing Hunyuan3D output (topology, UVs, PBR maps).
Do not use it for 2D image generation (that is HunyuanImage), video (HunyuanVideo), or the Hunyuan text LLMs (Hunyuan/Hy3) — those are separate model families that happen to share the "Hunyuan" brand.
The version landscape (verified 2026-07-10)
Two tracks. Getting the track right is the first decision, because it determines cost model, control, and legal footing.
Track A — Open-weight, self-hostable (download from GitHub + Hugging Face)
| Model | Released | Params (shape / paint) | What it adds | License |
|---|---|---|---|---|
| Hunyuan3D-2.0 | Jan 2025 | DiT-v2-0 ~1.1B / Paint-v2-0 ~1.3B (+ Delight) | Original open two-stage object model | Tencent Hunyuan 3D 2.0 Community License |
| Hunyuan3D-2mini | Mar 18 2025 | DiT-v2-mini 0.6B | Low-VRAM shape (~5 GB) | same 2.0 license |
| Hunyuan3D-2mv | Mar 18 2025 | DiT-v2-mv ~1.1B | Multi-view shape input (front+back+sides) | same 2.0 license |
| -Turbo / -Fast + FlashVDM | Mar 19 2025 | distilled variants of above | Step/guidance distillation; fast decode | same 2.0 license |
| Hunyuan3D-2.1 | Jun 13–14 2025 | DiT-v2-1 ~3.0B / Paint-v2-1 ~1.3–2B | First fully open PBR + full training code | Tencent Hunyuan 3D 2.1 Community License |
| HunyuanWorld-1.0 | Jul 26 2025 | — | Open scene/world gen: panorama proxy → layered mesh + 3DGS, 360° | Tencent Hunyuan community license |
| HY-World 2.0 / WorldMirror 2.0 | Apr 16 2026 | — | Text/image/multiview/video → meshes + 3DGS + point clouds; editable, engine-ready | open (GitHub + HF) |
What ships with it
1 file 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.
- 9d ago First seen · 388 lines · 203 tokens per session scan A 2b853306d4ef
tencent-hunyuan3d is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 203 tokens to every session and 5,824 once invoked, about $0.0010 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 2026-09-03.
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