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meshy-3d-printing
3D print models generated with Meshy AI, plus Creative Lab consumer products. Handles slicer detection, white model printing, multi-color printing via API, the Creative Lab pipeline (figure / lamp / keychain / fridge-magnet), and print-optimized download workflows. Use when the u
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3D print models generated with Meshy AI, plus Creative Lab consumer products. Handles slicer detection, white model printing, multi-color printing via API, the Creative Lab pipeline (figure / lamp / keychain / fridge-magnet), and print-optimized download workflows. Use when the user mentions 3D printing, slicing, Bambu, OrcaSlicer, Prusa, Cura, Creality Print, Elegoo, Anycubic, multicolor, multi-color, 3mf, Creative Lab, or wants a figurine, keychain, fridge magnet, lamp, collectible, miniature, or physical product from a photo. For generation without 3D printing, use the meshy-3d-generation skill instead.
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Meshy 3D Printing
Prepare and send Meshy-generated 3D models to a slicer for 3D printing. Supports white model (single-color) and multicolor printing workflows with automatic slicer detection.
Prerequisite: This skill bundles the same scripts/meshy_task.py CLI as meshy-3d-generation and shares its environment setup (API key detection, .env, Python requests). However, when the user wants to 3D print, this skill controls the entire workflow — including generation, format selection, downloading, and slicer integration. Do NOT run meshy-3d-generation's workflow first and then hand off here — this skill must control parameters from the start (e.g. target_formats with "3mf" for multicolor).
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 (white model pipeline) |
| reference.md | Full API reference (incl. print/analyze, print/repair, multi-color, Creative Lab) |
| references/printing.md | Full pipeline walkthroughs: slicer detection, analyze/repair, white model, multicolor, Creative Lab |
Environment check (same as the generation skill): python3 scripts/meshy_task.py check-env. If no key is found, follow the generation skill's references/setup.md (in the sibling meshy-3d-generation skill directory).
Security & Data Handling
- API key (
MESHY_API_KEY) — sent only in the HTTPAuthorization: Bearerheader tohttps://api.meshy.ai. Never logged in full (only akey[:8]...prefix is ever printed). The bundled script never persists it; it is written to.envin the current working directory only when the user explicitly asks, and never to shell profiles, Windows user variables, or any path outside the working directory. - Key sources read — the current session environment, then
.env/.env.localin the current working directory. Home directories and shell profiles are never scanned. - Network — the only external endpoint is
https://api.meshy.ai. System proxies are bypassed (trust_env = False). - Filesystem writes —
.envin the working directory (on explicit request only) and./meshy_output/for downloaded models, print-ready OBJ/3MF files, thumbnails, and metadata. - Local slicer launch —
scripts/slicers.pydetects already-installed slicers (known install paths +PATHlookup) and opens the generated model file in the slicer the user chooses. It launches only pre-existing local applications; it never downloads or installs software. - Data leaving the machine — the API key, user-provided text prompts, and image URLs/data go to
api.meshy.aionly. No other local data is transmitted; downloaded assets are saved locally.
IMPORTANT: Never Rebuild Bundled Scripts
scripts/meshy_task.py, scripts/slicers.py, and scripts/fix_obj.py are the single source of truth for their respective helpers (create_task / poll_task / download / get_project_dir / record_task / save_thumbnail / detect_slicers / open_in_slicer / fix_obj_for_printing). Never retype, paraphrase, or "reconstruct" these helpers from memory — not even partially. Compose CLI calls in bash, or import them from a small Python script.
Intent Detection
Proactively suggest 3D printing when these keywords appear in the user's request:
- Direct: print, 3d print, slicer, slice, bambu, orca, prusa, cura, multicolor, multi-color, 3mf
- Implied: figurine, miniature, statue, physical model, desk toy, phone stand
When detected, guide the user through the appropriate print pipeline below.
Decision Tree: White Model vs Multicolor
IMPORTANT: When the user wants to 3D print, follow this flow:
- Detect installed slicers first:
python3 scripts/slicers.py detect(see references/printing.md) - Ask the user: "Do you want a single-color (white) print or multicolor?"
- If white model → follow the White Model Pipeline
- If multicolor: a. Check if a multicolor-capable slicer is installed b. Supported multicolor slicers: OrcaSlicer, Bambu Studio, Creality Print, Elegoo Slicer, Anycubic Slicer Next c. If no multicolor slicer detected, warn the user and suggest installing one d. Ask: "How many colors? (default: 4, max: 16)" and "Segmentation depth? (3=coarse, 6=fine, default: 4)" e. Confirm cost: generation (20) + texture (10) + multicolor (10) = 40 credits total (+10 if repair is needed) f. Follow the Multicolor Pipeline
- (Recommended) Insert a printability analysis step (
POST /openapi/v1/print/analyze, FREE) after generation in either pipeline. RunPOST /openapi/v1/print/repair(10 credits) only if analyze flags errors.
Print Pipelines
Full, copy-ready walkthroughs live in references/printing.md. Overview:
White Model Print Pipeline
| Step | Action | Credits | Notes |
|---|---|---|---|
| 1 | Detect installed slicers | 0 | scripts/slicers.py detect |
| 2 | Generate untextured model | 5–20 | Text to 3D or Image to 3D (should_texture: false) |
| 3 | Download OBJ | 0 | OBJ format for slicer compatibility |
| 4 | Fix OBJ for printing | 0 | scripts/fix_obj.py coordinate conversion |
| 5 | Open in slicer | 0 | scripts/slicers.py open |
Multicolor Print Pipeline
| Step | Action | Credits | Notes |
|---|---|---|---|
| 1 | Detect slicers + check multicolor | 0 | Warn if no multicolor slicer |
| 2 | Generate 3D model | 20 | Text to 3D or Image to 3D |
| 3 | Add textures | 10 | Refine or Retexture (REQUIRED) |
| 4 | Multi-color processing | 10 | POST /openapi/v1/print/multi-color |
| 5 | Poll until SUCCEEDED | 0 | meshy_task.py poll |
| 6 | Download 3MF | 0 | From model_urls["3mf"] |
| 7 | Open in multicolor slicer | 0 | scripts/slicers.py open |
| Total | 40 |
Creative Lab Consumer Products
Ready-to-print styled products from a single photo: figure, lamp, keychain, fridge-magnet. Two stages: prototype (6 credits) → build (30 credits). See references/printing.md for the full flow, including how to multicolor a Creative Lab result.
Mesh Utilities for Printing
- Convert (
POST /openapi/v1/convert, 1 credit): get a printable STL or 3MF from an existing GLB/OBJ result without remeshing — cheaper and faster than re-running generation withtarget_formats. - Resize (
POST /openapi/v1/resize, 1 credit): set a real-world size before slicing (exactly one ofresize_height/resize_longest_side/auto_size). An alternative tofix_obj.py's scaling when you want the API to handle it. - UV Unwrap (
POST /openapi/v1/uv-unwrap, 5 credits): clean GLB "UV white model" before externally painting for a multicolor print. GLB only, ≤ 40,000 faces — remesh down first if larger.
Key Rules for Print Workflow
- Always detect slicer first and report results to the user before proceeding
- Always run analyze (FREE) for production / functional prints, miniatures with thin features, mechanical parts
- Repair is conditional: only when analyze status = error, or warning if the user cares about quality
- White model: Download OBJ format, apply
scripts/fix_obj.pyfor coordinate conversion - Multicolor: The multi-color API outputs 3MF directly — no coordinate conversion needed (3MF uses Z-up natively)
- 3MF for multicolor: The Multi-Color Print API outputs 3MF directly — no need to request 3MF from generate/refine via
target_formats. For non-print use cases that need 3MF, pass"3mf"intarget_formatsat generation time. - For multicolor, verify slicer supports it before proceeding with the (costly) pipeline
- After opening in slicer, remind user to check print settings (layer height, infill, supports)
- If OBJ is not available: Download GLB and guide user to import manually
- Repair caveat: textures are NOT preserved. For a multicolor print on a model that needs repair, run repair first, then re-texture, then multicolor.
Additional Resources
For the complete API endpoint reference, read reference.md. For pipeline walkthroughs and the manual print-quality checklist, read references/printing.md. For API errors, see the generation skill's references/troubleshooting.md.
Dateimetadaten
name: meshy-3d-printing description: 3D print models generated with Meshy AI, plus Creative Lab consumer products. Handles slicer detection, white model printing, multi-color printing via API, the Creative Lab pipeline (figure / lamp / keychain / fridge-magnet), and print-optimized download workflows. Use when the user mentions 3D printing, slicing, Bambu, OrcaSlicer, Prusa, Cura, Creality Print, Elegoo, Anycubic, multicolor, multi-color, 3mf, Creative Lab, or wants a figurine, keychain, fridge magnet, lamp, collectible, miniature, or physical product from a photo. For generation without 3D printing, use the meshy-3d-generation skill instead. license: MIT compatibility: Requires Python 3 with requests package. Depends on meshy-3d-generation skill. Works with Claude Code, Cursor, and all Agent Skills compatible tools. metadata: author: meshy-dev version: "0.4.1" homepage: https://github.com/meshy-dev/meshy-3d-agent allowed-tools: Bash, Read, Write, Glob, Grep
Originaltext anzeigen
--- name: meshy-3d-printing description: 3D print models generated with Meshy AI, plus Creative Lab consumer products. Handles slicer detection, white model printing, multi-color printing via API, the Creative Lab pipeline (figure / lamp / keychain / fridge-magnet), and print-optimized download workflows. Use when the user mentions 3D printing, slicing, Bambu, OrcaSlicer, Prusa, Cura, Creality Print, Elegoo, Anycubic, multicolor, multi-color, 3mf, Creative Lab, or wants a figurine, keychain, fridge magnet, lamp, collectible, miniature, or physical product from a photo. For generation without 3D printing, use the meshy-3d-generation skill instead. license: MIT compatibility: Requires Python 3 with requests package. Depends on meshy-3d-generation skill. Works with Claude Code, Cursor, and all Agent Skills compatible tools. metadata: author: meshy-dev version: "0.4.1" homepage: https://github.com/meshy-dev/meshy-3d-agent allowed-tools: Bash, Read, Write, Glob, Grep --- # Meshy 3D Printing Prepare and send Meshy-generated 3D models to a slicer for 3D printing. Supports white model (single-color) and multicolor printing workflows with automatic slicer detection. **Prerequisite:** This skill bundles the same `scripts/meshy_task.py` CLI as `meshy-3d-generation` and shares its environment setup (API key detection, `.env`, Python `requests`). However, **when the user wants to 3D print, this skill controls the entire workflow** — including generation, format selection, downloading, and slicer integration. Do NOT run `meshy-3d-generation`'s workflow first and then hand off here — this skill must control parameters from the start (e.g. `target_formats` with `"3mf"` for multicolor). 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 (white model pipeline) | | [reference.md](reference.md) | Full API reference (incl. print/analyze, print/repair, multi-color, Creative Lab) | | [references/printing.md](references/printing.md) | Full pipeline walkthroughs: slicer detection, analyze/repair, white model, multicolor, Creative Lab | **Environment check** (same as the generation skill): `python3 scripts/meshy_task.py check-env`. If no key is found, follow the generation skill's `references/setup.md` (in the sibling `meshy-3d-generation` skill directory). --- ## Security & Data Handling - **API key (`MESHY_API_KEY`)** — sent only in the HTTP `Authorization: Bearer` header to `https://api.meshy.ai`. Never logged in full (only a `key[:8]...` prefix is ever printed). The bundled script never persists it; it is written to `.env` in the current working directory *only* when the user explicitly asks, and never to shell profiles, Windows user variables, or any path outside the working directory. - **Key sources read** — the current session environment, then `.env` / `.env.local` in the current working directory. Home directories and shell profiles are never scanned. - **Network** — the only external endpoint is `https://api.meshy.ai`. System proxies are bypassed (`trust_env = False`). - **Filesystem writes** — `.env` in the working directory (on explicit request only) and `./meshy_output/` for downloaded models, print-ready OBJ/3MF files, thumbnails, and metadata. - **Local slicer launch** — `scripts/slicers.py` detects already-installed slicers (known install paths + `PATH` lookup) and opens the generated model file in the slicer the user chooses. It launches only pre-existing local applications; it never downloads or installs software. - **Data leaving the machine** — the API key, user-provided text prompts, and image URLs/data go to `api.meshy.ai` only. No other local data is transmitted; downloaded assets are saved locally. --- ## IMPORTANT: Never Rebuild Bundled Scripts `scripts/meshy_task.py`, `scripts/slicers.py`, and `scripts/fix_obj.py` are the single source of truth for their respective helpers (`create_task` / `poll_task` / `download` / `get_project_dir` / `record_task` / `save_thumbnail` / `detect_slicers` / `open_in_slicer` / `fix_obj_for_printing`). **Never retype, paraphrase, or "reconstruct" these helpers from memory** — not even partially. Compose CLI calls in bash, or import them from a small Python script. --- ## Intent Detection Proactively suggest 3D printing when these keywords appear in the user's request: - **Direct**: print, 3d print, slicer, slice, bambu, orca, prusa, cura, multicolor, multi-color, 3mf - **Implied**: figurine, miniature, statue, physical model, desk toy, phone stand When detected, guide the user through the appropriate print pipeline below. --- ## Decision Tree: White Model vs Multicolor **IMPORTANT**: When the user wants to 3D print, follow this flow: 1. **Detect installed slicers** first: `python3 scripts/slicers.py detect` (see [references/printing.md](references/printing.md)) 2. **Ask the user**: "Do you want a single-color (white) print or multicolor?" 3. If **white model** → follow the White Model Pipeline 4. If **multicolor**: a. Check if a multicolor-capable slicer is installed b. Supported multicolor slicers: **OrcaSlicer, Bambu Studio, Creality Print, Elegoo Slicer, Anycubic Slicer Next** c. If no multicolor slicer detected, warn the user and suggest installing one d. Ask: "How many colors? (default: 4, max: 16)" and "Segmentation depth? (3=coarse, 6=fine, default: 4)" e. Confirm cost: generation (20) + texture (10) + multicolor (10) = **40 credits total** (+10 if repair is needed) f. Follow the Multicolor Pipeline 5. **(Recommended)** Insert a **printability analysis** step (`POST /openapi/v1/print/analyze`, FREE) after generation in either pipeline. Run **`POST /openapi/v1/print/repair`** (10 credits) only if analyze flags errors. --- ## Print Pipelines Full, copy-ready walkthroughs live in [references/printing.md](references/printing.md). Overview: ### White Model Print Pipeline | Step | Action | Credits | Notes | |------|--------|---------|-------| | 1 | Detect installed slicers | 0 | `scripts/slicers.py detect` | | 2 | Generate untextured model | 5–20 | Text to 3D or Image to 3D (`should_texture: false`) | | 3 | Download OBJ | 0 | OBJ format for slicer compatibility | | 4 | Fix OBJ for printing | 0 | `scripts/fix_obj.py` coordinate conversion | | 5 | Open in slicer | 0 | `scripts/slicers.py open` | ### Multicolor Print Pipeline | Step | Action | Credits | Notes | |------|--------|---------|-------| | 1 | Detect slicers + check multicolor | 0 | Warn if no multicolor slicer | | 2 | Generate 3D model | 20 | Text to 3D or Image to 3D | | 3 | Add textures | 10 | Refine or Retexture (REQUIRED) | | 4 | Multi-color processing | 10 | `POST /openapi/v1/print/multi-color` | | 5 | Poll until SUCCEEDED | 0 | `meshy_task.py poll` | | 6 | Download 3MF | 0 | From `model_urls["3mf"]` | | 7 | Open in multicolor slicer | 0 | `scripts/slicers.py open` | | **Total** | | **40** | | ### Creative Lab Consumer Products Ready-to-print styled products from a single photo: **figure**, **lamp**, **keychain**, **fridge-magnet**. Two stages: **prototype** (6 credits) → **build** (30 credits). See [references/printing.md](references/printing.md) for the full flow, including how to multicolor a Creative Lab result. ### Mesh Utilities for Printing - **Convert** (`POST /openapi/v1/convert`, 1 credit): get a printable **STL** or **3MF** from an existing GLB/OBJ result without remeshing — cheaper and faster than re-running generation with `target_formats`. - **Resize** (`POST /openapi/v1/resize`, 1 credit): set a real-world size before slicing (exactly one of `resize_height` / `resize_longest_side` / `auto_size`). An alternative to `fix_obj.py`'s scaling when you want the API to handle it. - **UV Unwrap** (`POST /openapi/v1/uv-unwrap`, 5 credits): clean **GLB "UV white model"** before externally painting for a multicolor print. **GLB only, ≤ 40,000 faces** — remesh down first if larger. --- ## Key Rules for Print Workflow - **Always detect slicer first** and report results to the user before proceeding - **Always run analyze (FREE)** for production / functional prints, miniatures with thin features, mechanical parts - **Repair is conditional**: only when analyze status = error, or warning if the user cares about quality - **White model**: Download OBJ format, apply `scripts/fix_obj.py` for coordinate conversion - **Multicolor**: The multi-color API outputs 3MF directly — no coordinate conversion needed (3MF uses Z-up natively) - **3MF for multicolor**: The Multi-Color Print API outputs 3MF directly — no need to request 3MF from generate/refine via `target_formats`. For non-print use cases that need 3MF, pass `"3mf"` in `target_formats` at generation time. - **For multicolor, verify slicer supports it** before proceeding with the (costly) pipeline - After opening in slicer, remind user to check print settings (layer height, infill, supports) - **If OBJ is not available**: Download GLB and guide user to import manually - **Repair caveat**: textures are NOT preserved. For a multicolor print on a model that needs repair, run repair first, then re-texture, then multicolor. --- ## Additional Resources For the complete API endpoint reference, read [reference.md](reference.md). For pipeline walkthroughs and the manual print-quality checklist, read [references/printing.md](references/printing.md). For API errors, see the generation skill's `references/troubleshooting.md`.
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- Dependency or permission surface needs review
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- GitHub adoption: 88 GitHub stars
- Stars/forks activity: 88 stars, 19 forks; issue activity unavailable in current metadata
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- Quell-Repository
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Weitere Details
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"install_attempts": 0,
"install_success_rate": null,
"risk_blocked": 0,
"setup_required": 0,
"avg_output_quality": null,
"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"design-creative",
"agent-skill"
],
"known_risks": [
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 88 GitHub stars",
"Stars/forks activity: 88 stars, 19 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 73,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 88 GitHub stars",
"Stars/forks activity: 88 stars, 19 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 60,
"label": "Promising"
},
"supply": {
"track": "Design and creative production",
"scenario": "Design and creative",
"maintenance": "2mo since push",
"risk": "Needs review"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"high-compliance environments without internal security review",
"No major risk signals from current metadata",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution"
],
"agent_contract": {
"task_input": "Use meshy-3d-printing in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 69/100 Manual review",
"Audit: 73/100 Needs review",
"Safety: 33/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "meshy-dev-meshy-3d-printing (meshy-3d-printing)",
"install_command": "",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "meshy-dev-meshy-3d-printing",
"task": "Use meshy-3d-printing in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/meshy-dev-meshy-3d-printing",
"api": "https://www.openagentskill.com/api/agent/skills/meshy-dev-meshy-3d-printing",
"audit": "https://www.openagentskill.com/skills/meshy-dev-meshy-3d-printing/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=meshy-dev-meshy-3d-printing&task=Use%20meshy-3d-printing%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20meshy-3d-printing%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20meshy-3d-printing%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/meshy-dev-meshy-3d-printing/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/meshy-dev-meshy-3d-printing"
}
}Für Ersteller
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- meshy-dev
- Quelle
- meshy-dev/meshy-3d-agent
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
Diesen Skill beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird meshy-dev zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
Share-Kit
Creator-Backlink-Kit
Evidenz-Badges in deine README einfügen
Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
[](https://www.openagentskill.com/skills/meshy-dev-meshy-3d-printing?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/meshy-dev-meshy-3d-printing?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/meshy-dev-meshy-3d-printing/audit)
[](https://www.openagentskill.com/skills/meshy-dev-meshy-3d-printing?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Community-Signal
Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.
