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 CodePhobiia/claude-roblox-game-studio --skill asset-from-imagegit clone --depth 1 https://github.com/CodePhobiia/claude-roblox-game-studioWrote 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/codephobiia/claude-roblox-game-studio/asset-from-image)<a href="https://agentmods.dev/skills/codephobiia/claude-roblox-game-studio/asset-from-image"><img src="https://agentmods.dev/badge/skills/codephobiia/claude-roblox-game-studio/asset-from-image/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/codephobiia/claude-roblox-game-studio/asset-from-image"><img src="https://agentmods.dev/badge/skills/codephobiia/claude-roblox-game-studio/asset-from-image.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 | $0.00038 | $0.00317 |
| Opus 5 | $0.00019 | $0.00159 |
| Sonnet 5 | $0.00008 | $0.00063 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
asset-from-image 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.
What it actually says
/asset-from-image — Image-to-3D Asset Generation
Delegate to: blender-mcp-operator
Steps
1. Get the Reference Image
Ask: "Share the reference image (screenshot, concept art, photo)" The image will be passed to the AI generation tool.
2. Generate
mcp__blender-mcp__generate_hyper3d_model_via_imageswith the reference image- Poll
mcp__blender-mcp__get_hyper3d_statusuntil generation completes (30-120s) mcp__blender-mcp__import_generated_assetinto the Blender scene
3. Compare with Reference
mcp__blender-mcp__get_viewport_screenshot— capture the generated model- Compare side-by-side with the original reference image
- Note differences and decide if regeneration is needed
4. Optimize for Roblox
Same as /generate-asset step 5:
- Decimate to triangle budget
- Scale to Roblox units
- Set origin, clean topology
- UV unwrap if needed
5. Export and Approve
- Export FBX to
assets/models/ - Present screenshot + poly count + comparison with reference
- User approves or requests adjustments
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 · 37 lines · 38 tokens per session scan A 11aa3396e2d7
asset-from-image is a skill published in the GitHub repository CodePhobiia/claude-roblox-game-studio (9 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 317 once invoked, about $0.0002 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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