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-openclawgit 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-openclaw)<a href="https://agentmods.dev/skills/laic-parsiism709/meshy-3d-agent/meshy-openclaw"><img src="https://agentmods.dev/badge/skills/laic-parsiism709/meshy-3d-agent/meshy-openclaw/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-openclaw"><img src="https://agentmods.dev/badge/skills/laic-parsiism709/meshy-3d-agent/meshy-openclaw.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 | $0.00104 | $0.07340 |
| Opus 5 | $0.00052 | $0.03670 |
| Sonnet 5 | $0.00021 | $0.01468 |
| Haiku 4.5 | $0.00010 | $0.00734 |
Grade A, and why
meshy-3d-agent scanned grade A with 2 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 11d 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.
- curl Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- **macOS**: `subprocess.run(["open", "-a", "<AppName>", obj_path])` — the OS resolves the app location automatically. How it starts
The opening of the file, as written. The whole thing — 703 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meshy 3D — Generation + Printing
Directly communicate with the Meshy AI API to generate and print 3D assets. Covers the complete lifecycle: API key setup, task creation, exponential backoff polling, downloading, multi-step pipelines, and 3D print preparation with slicer integration.
SECURITY MANIFEST
Environment variables accessed:
MESHY_API_KEY— API authentication token sent in HTTPAuthorization: Bearerheader only. Never logged, never written to any file except.envin the current working directory when explicitly requested by the user.
External network endpoints:
https://api.meshy.ai— Meshy AI API (task creation, status polling, model/image downloads)
File system access:
- Read:
.envin the current working directory only (API key lookup) - Write:
.envin the current working directory only (API key storage, only on user request) - Write:
./meshy_output/in the current working directory (downloaded model files, metadata) - Read: files explicitly provided by the user (e.g., local images passed for image-to-3D conversion), accessed only at the exact path the user specifies
- No access to home directories, shell profiles, or any path outside the above
Data leaving this machine:
- API requests to
api.meshy.aiinclude theMESHY_API_KEYin the Authorization header and user-provided text prompts or image URLs. No other local data is transmitted. Downloaded model files are saved locally only.
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.
IMPORTANT: File Organization
All downloaded files MUST go into a structured meshy_output/ directory in the current working directory. Do NOT scatter files randomly.
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.
- 11d ago First seen · 703 lines · 104 tokens per session scan A 468475f94710
meshy-3d-agent is a skill published in the GitHub repository Laic-parsiism709/meshy-3d-agent (3 stars, last pushed yesterday), licensed MIT. It adds 104 tokens to every session and 7,340 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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