Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/lord1egypt/awesome-skill-forge/3d-model-generator)<a href="https://agentmods.dev/skills/lord1egypt/awesome-skill-forge/3d-model-generator"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/3d-model-generator/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/lord1egypt/awesome-skill-forge/3d-model-generator"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/3d-model-generator.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 | $0.00053 | $0.00777 |
| Opus 5 | $0.00026 | $0.00388 |
| Sonnet 5 | $0.00011 | $0.00155 |
| Haiku 4.5 | $0.00005 | $0.00078 |
Grade A, and why
modelisation-3d 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 10d 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 — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Modélisation 3D avec Meshy.ai
Cette compétence permet de générer des modèles 3D professionnels en utilisant l'intelligence artificielle de Meshy.ai. Elle automatise le workflow complet, de la conception initiale à l'exportation finale, en passant par la texturation avancée. L'objectif est de transformer des idées textuelles ou des références visuelles en fichiers exploitables pour l'impression 3D, le développement de jeux ou la visualisation architecturale.
Workflow de Génération et Configuration
Le processus commence par l'accès à l'interface de travail de Meshy.ai. Une fois connecté au Workspace, il est impératif de sélectionner la méthode de génération appropriée en fonction de l'entrée utilisateur. Le tableau ci-dessous détaille les configurations recommandées pour garantir des résultats optimaux avec le modèle Meshy-4.
| Paramètre | Option Recommandée | Description |
|---|---|---|
| Méthode | Text-to-3D / Image-to-3D | Dépend de la nature de la demande (description ou image). |
| Modèle IA | Meshy-4 | Le modèle le plus récent et performant disponible gratuitement. |
| Type de Maillage | Standard | Utiliser par défaut pour une fidélité maximale des détails. |
| Pose | None / A-Pose / T-Pose | Utiliser A-Pose ou T-Pose uniquement pour les personnages. |
| Format Export | STL ou OBJ | Formats standards pour l'impression 3D et la modélisation. |
Étapes de Production Détaillées
Une fois la configuration initiale établie, la génération du modèle de base est lancée. Il est essentiel de surveiller la progression dans l'interface. Une fois le maillage (mesh) généré, l'étape suivante consiste à appliquer des textures via l'outil Texture situé dans le menu latéral gauche. Cet outil utilise l'IA pour générer des matériaux réalistes ou stylisés basés sur le prompt initial.
| Étape | Action Requise | Résultat Attendu |
|---|---|---|
| 1. Génération | Cliquer sur "Generate" | Création du maillage 3D brut. |
| 2. Texturation | Activer l'outil "Texture" | Application des couleurs et matériaux IA. |
| 3. Finalisation | Vérifier le rendu final | Modèle complet prêt pour l'exportation. |
| 4. Exportation | Cliquer sur "Download" | Téléchargement du fichier dans /home/ubuntu/Downloads/. |
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.
- 10d ago First seen · 36 lines · 53 tokens per session scan A 36863eca1838
modelisation-3d is a skill published in the GitHub repository Lord1Egypt/awesome-skill-forge (2 stars, last pushed 3mo ago), licensed MIT. It adds 53 tokens to every session and 777 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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