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.
git clone --depth 1 https://github.com/shoyu-ramen/meshy-claude-pluginWrote 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/commands/shoyu-ramen/meshy-claude-plugin/generate)<a href="https://agentmods.dev/commands/shoyu-ramen/meshy-claude-plugin/generate"><img src="https://agentmods.dev/badge/commands/shoyu-ramen/meshy-claude-plugin/generate/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/commands/shoyu-ramen/meshy-claude-plugin/generate"><img src="https://agentmods.dev/badge/commands/shoyu-ramen/meshy-claude-plugin/generate.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 | $0.00023 | $0.00291 |
| Opus 5 | $0.00012 | $0.00146 |
| Sonnet 5 | $0.00005 | $0.00058 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
generate 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 8d 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.
What it actually says
Generate a 3D model with Meshy from this prompt: $ARGUMENTS
Follow the full pipeline:
- Call get_balance first; warn if below ~35 credits (preview ≈20 + refine ≈10).
- Create the preview: text_to_3d {mode: "preview", prompt: } — apply any extra options the user appended (pbr → enable_pbr on refine, 8k → texture_resolution, quad → topology, lowpoly → model_type, a-pose/t-pose → pose_mode).
- wait_for_task until SUCCEEDED (call again on timeout).
- Create the refine: text_to_3d {mode: "refine", preview_task_id: } with any texture options.
- wait_for_task until SUCCEEDED.
- download_assets into ./meshy-assets// in the current project (or a directory the user named).
- Report: credits consumed (preview + refine), downloaded file paths, and the thumbnail path.
If any task FAILS, stop and report task_error.message — do not retry automatically (credits).
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.
- 8d ago First seen · 19 lines · 23 tokens per session scan A 863c08eeb9b3
generate is a command published in the GitHub repository shoyu-ramen/meshy-claude-plugin (0 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 291 once invoked, about $0.0001 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 2026-08-31.
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