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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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Preis unbestätigt★ 88 GitHub-StarsVerzeichnis aktualisiert · 27. Sept. 2026agent-skill

Übersicht

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.

ResourceWhen to use
scripts/meshy_task.pyBundled CLI for every Meshy API call (create / poll / download / record / …)
scripts/slicers.pyDetect installed slicers; open a model file in a slicer
scripts/fix_obj.pyFix OBJ coordinate system, scale, and origin for slicers (white model pipeline)
reference.mdFull API reference (incl. print/analyze, print/repair, multi-color, Creative Lab)
references/printing.mdFull 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)
  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. Overview:

White Model Print Pipeline
StepActionCreditsNotes
1Detect installed slicers0scripts/slicers.py detect
2Generate untextured model5–20Text to 3D or Image to 3D (should_texture: false)
3Download OBJ0OBJ format for slicer compatibility
4Fix OBJ for printing0scripts/fix_obj.py coordinate conversion
5Open in slicer0scripts/slicers.py open
Multicolor Print Pipeline
StepActionCreditsNotes
1Detect slicers + check multicolor0Warn if no multicolor slicer
2Generate 3D model20Text to 3D or Image to 3D
3Add textures10Refine or Retexture (REQUIRED)
4Multi-color processing10POST /openapi/v1/print/multi-color
5Poll until SUCCEEDED0meshy_task.py poll
6Download 3MF0From model_urls["3mf"]
7Open in multicolor slicer0scripts/slicers.py open
Total40
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 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. 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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  • GitHub adoption: 88 GitHub stars
  • Stars/forks activity: 88 stars, 19 forks; issue activity unavailable in current metadata
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Quell-Repository
meshy-dev/meshy-3d-agent
Lizenz
MIT
Version
1.0.0
Letzter GitHub-Push
8. Aug. 2026
Verzeichnis aktualisiert
27. Sept. 2026

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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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Weitere Details
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      "stars": "88 GitHub stars",
      "repoActivity": "88 stars, 19 forks",
      "lastPushed": "2mo since push",
      "license": "MIT",
      "repository": "https://github.com/meshy-dev/meshy-3d-agent/tree/main/skills/meshy-3d-printing",
      "install": "The tracked source changed or could not be synchronized. Review the current source before installing.",
      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Strong README/SKILL.md context",
      "agentOutcomes": "No agent outcome data yet"
    },
    "outcome_evidence": {
      "total": 0,
      "successes": 0,
      "failures": 0,
      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "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

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Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller
meshy-dev
Indexiert von
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