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 Laic-parsiism709/meshy-3d-agent --skill meshy-3d-generationgit clone --depth 1 https://github.com/Laic-parsiism709/meshy-3d-agentWrote 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/laic-parsiism709/meshy-3d-agent/meshy-3d-generation)<a href="https://agentmods.dev/skills/laic-parsiism709/meshy-3d-agent/meshy-3d-generation"><img src="https://agentmods.dev/badge/skills/laic-parsiism709/meshy-3d-agent/meshy-3d-generation/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/laic-parsiism709/meshy-3d-agent/meshy-3d-generation"><img src="https://agentmods.dev/badge/skills/laic-parsiism709/meshy-3d-agent/meshy-3d-generation.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 | $0.00082 | $0.06559 |
| Opus 5 | $0.00041 | $0.03279 |
| Sonnet 5 | $0.00016 | $0.01312 |
| Haiku 4.5 | $0.00008 | $0.00656 |
Grade A, and why
meshy-3d-generation scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
STATUS=$(curl -s -o /dev/null -w "%{http_code}" \ How it starts
The opening of the file, as written. The whole thing — 615 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meshy 3D Generation
Directly communicate with the Meshy AI API to generate 3D assets. This skill handles the complete lifecycle: environment setup, API key detection, task creation, polling, downloading, and chaining multi-step pipelines.
For full endpoint reference (all parameters, response schemas, error codes), read reference.md.
IMPORTANT: First-Use Session Notice
When this skill is first activated in a session, inform the user:
All generated files will be saved to
meshy_output/in the current working directory. Each project gets its own folder ({YYYYMMDD_HHmmss}_{prompt}_{id}/) with model files, textures, thumbnails, and metadata. History is tracked inmeshy_output/history.json.
This only needs to be said once per session, at the beginning.
IMPORTANT: File Organization
All downloaded files MUST go into a structured meshy_output/ directory in the current working directory. Do NOT scatter files randomly.
- Each project gets its own folder:
meshy_output/{YYYYMMDD_HHmmss}_{prompt_slug}_{task_id_prefix}/ - For chained tasks (preview → refine → rig), reuse the same
project_dir - Track tasks in
metadata.jsonper project, and globalhistory.json - Auto-download thumbnails alongside models
The Reusable Script Template below includes get_project_dir(), record_task(), and save_thumbnail() helpers.
IMPORTANT: Shell Command Rules
Use only standard POSIX tools in shell commands. Do NOT use rg (ripgrep), fd, or other non-standard CLI tools — they may not be installed. Use these standard alternatives instead:
| Do NOT use | Use instead |
|---|---|
rg |
grep |
fd |
find |
bat |
cat |
exa / eza |
ls |
IMPORTANT: Run Long Tasks Properly
Meshy generation tasks take 1–5 minutes. When running Python scripts that poll for completion:
- Write the entire create → poll → download flow as ONE Python script and execute it in a single Bash call. Do NOT split into multiple commands. This keeps the API key, task IDs, and session in one process context.
- Use
python3 -u script.py(unbuffered) so progress output is visible in real time. - Be patient with long-running scripts — do NOT interrupt or kill them prematurely. Tasks at 99% for 30–120s is normal finalization, not a failure.
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.
- 12d ago First seen · 615 lines · 82 tokens per session scan A 6766a4a5fb21
meshy-3d-generation is a skill published in the GitHub repository Laic-parsiism709/meshy-3d-agent (3 stars, last pushed 2d ago), licensed MIT. It adds 82 tokens to every session and 6,559 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
sprite-gen
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3d_object
Judge whether a generated mesh is fit to ship in a browser game, from the same rendered sheet the orientation review uses.
3d_scene
Choose how to build a 3dscene asset. Do not default to one pipeline for every task: what the user specified about the scene's appearance matters more than the scene type, and generative reconstruction is the least stable route here.
motion
How an agent turns a character mesh into a usable animated FBX — and how to judge whether the result is shippable.
audio
Use this Skill when a game plan requires dialogue, voice lines, sound effects, foley, ambience, or other offline WAV assets. This is asset generation, not a runtime audio-playback contract; use the selected engine context after an asset has passed review.
image
Use this Skill when a game plan needs a single-subject concept image, a character reference cleaned for image-to-3D, or a front-facing transparent T-pose image for downstream character reconstruction. T-pose generation is an image-generation and image-editing task; it is not a separate asset category.