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 meshy-dev/meshy-3d-agent --skill meshy-openclawgit clone --depth 1 https://github.com/meshy-dev/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/meshy-dev/meshy-3d-agent/meshy-openclaw)<a href="https://agentmods.dev/skills/meshy-dev/meshy-3d-agent/meshy-openclaw"><img src="https://agentmods.dev/badge/skills/meshy-dev/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/meshy-dev/meshy-3d-agent/meshy-openclaw"><img src="https://agentmods.dev/badge/skills/meshy-dev/meshy-3d-agent/meshy-openclaw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 163 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 255 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00128 | $0.04637 |
| Opus 5 | $0.00064 | $0.02318 |
| Sonnet 5 | $0.00026 | $0.00927 |
| Haiku 4.5 | $0.00013 | $0.00464 |
Grade A, and why
meshy-openclaw 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- curl How it starts
The opening of the file, as written. The whole thing — 280 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:
.env/.env.localin 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.
All paths below are relative to this skill's own directory (the directory containing this SKILL.md). Resolve them before running.
| Resource | When to use |
|---|---|
scripts/meshy_task.py |
Bundled CLI for every Meshy API call (create / poll / download / record / …) |
scripts/slicers.py |
Detect installed slicers; open a model file in a slicer |
scripts/fix_obj.py |
Fix OBJ coordinate system, scale, and origin for slicers |
| reference.md | Full API reference: every parameter, response schema, error code |
| references/setup.md | API key setup — read when Step 0 finds no key |
| references/pipelines.md | Generation recipes: exact payloads + script calls per endpoint |
| references/printing.md | Print pipeline walkthroughs: slicer detection, analyze/repair, white model, multicolor, Creative Lab |
| references/troubleshooting.md | Error recovery trees and task failure messages |
What ships with it
8 files 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 · 280 lines · 128 tokens per session scan A 4ca3d6aa5abc
meshy-openclaw is a skill published in the GitHub repository meshy-dev/meshy-3d-agent (89 stars, last pushed 1mo ago), licensed MIT. It adds 128 tokens to every session and 4,637 once invoked, about $0.0006 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 2026-08-30.
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