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 shoyu-ramen/meshy-claude-plugin --skill meshygit 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/skills/shoyu-ramen/meshy-claude-plugin/meshy)<a href="https://agentmods.dev/skills/shoyu-ramen/meshy-claude-plugin/meshy"><img src="https://agentmods.dev/badge/skills/shoyu-ramen/meshy-claude-plugin/meshy/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/shoyu-ramen/meshy-claude-plugin/meshy"><img src="https://agentmods.dev/badge/skills/shoyu-ramen/meshy-claude-plugin/meshy.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 | $0.00065 | $0.01204 |
| Opus 5 | $0.00032 | $0.00602 |
| Sonnet 5 | $0.00013 | $0.00241 |
| Haiku 4.5 | $0.00006 | $0.00120 |
Grade A, and why
meshy 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 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.
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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meshy 3D generation workflows
All Meshy operations are async tasks: a create tool returns a task_id instantly; generation takes seconds to minutes. Standard loop for every task:
- Create (
text_to_3d,image_to_3d,rig, …) → gettask_id+task_type. wait_for_task {task_type, task_id}— blocks with progress, default 300s timeout. On timeout it returns current progress without error; call it again to keep waiting.download_assets {task_type, task_id, dest_dir}— always do this promptly after SUCCEEDED: Meshy file URLs expire ~3 days (non-Enterprise), then the outputs are gone. Pass an explicitdest_dirinside the user's project.
Check get_balance before expensive runs (free call). Task records are queryable with get_task / list_tasks; both return compact summaries — pass raw: true only if you truly need signed URLs.
Text → 3D (two stages)
text_to_3d {mode: "preview", prompt}→ untextured mesh. 20 credits (meshy-6/lowpoly; 5 on older models).- Inspect result (thumbnail), then
text_to_3d {mode: "refine", preview_task_id}→ textured. 10 credits (2k/4k), 15 (8k).enable_pbr: truefor metallic/roughness/normal maps. - Preview prompt ≤600 chars. Refine only textures the geometry — bad shape? Fix the preview prompt, not refine.
- Fewer
target_formats= faster completion.
Image → 3D
image_to_3d {image_url}— public URL or base64 data URI (jpg/png). 30 credits with texture on meshy-6;should_texture: false→ 20.- Multiple angles of one object →
multi_image_to_3d {image_urls: [1–4]}. - No local file URL support — encode local files as
data:image/png;base64,.... - Chain from generated images:
text_to_image {generate_multi_view: true}(3 angles) →multi_image_to_3d {input_task_id}.
Character pipeline (generate → rig → animate)
- Generate a humanoid model: use
pose_mode: "a-pose"or"t-pose"in the create call — rigging needs clear limbs. rig {input_task_id, height_meters}— 5 credits. Constraints: bipedal humanoid only, ≤300k faces, textured, facing +Z. Output includes basic walk/run.search_animations {query}→ pickaction_idfrom ~680-action catalog (free).animate {rig_task_id, action_id}— 3 credits each.post_processfor fps change / USDZ / armature extraction.- Download rigged + animated FBX/GLB.
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 · 60 lines · 65 tokens per session scan A a863b6f6a68e
meshy is a skill published in the GitHub repository shoyu-ramen/meshy-claude-plugin (0 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 1,204 once invoked, about $0.0003 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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