asset-conversion

asset-conversion is a skill for Kiro from smileynet/teach-me. It costs 115 tokens per session (1,290 once invoked), scanned A, original, MIT.

A set of Blender-based tools for converting 3D model files and producing lesson assets. They can create an editable Blender file from GLB, glTF, FBX, or OBJ input, and export a Godot-ready GLB or glTF file.

In plain words
What is it for?
Use it to prepare editable Blender assets, convert FBX or other models for Godot, or provide the same asset in multiple formats.
Why use it?
It avoids manually repeating format conversions when preparing downloadable assets for lessons. The tools skip safely when Blender is unavailable.

Skill for Kiro

Written for Kiro: installed under .kiro/.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is uv run python tools/gltf-format-oracle.py <path.glb>.

Good fit Use it to prepare editable Blender assets, convert FBX or other models for Godot, or provide the same asset in multiple formats.

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Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/smileynet/teach-me
agentmods
npx agentmods add skills/smileynet/teach-me/asset-conversion

Made for: Kiro.

Wrote this? Show the measurements

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agentmods badge for asset-conversion

README.md
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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.

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Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,290 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00115 $0.01290
Opus 5.5 $0.00046 $0.00516
Sonnet 5.5 $0.00023 $0.00258
Haiku 4.5 $0.00012 $0.00129

Measured 1mo ago against content hash a2dde02c16dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

asset-conversion 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 1mo 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.

.kiro/skills/asset-conversion/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Asset Conversion

Two headless-Blender tools produce the downloadable 3D artifacts a lesson needs. Both SKIP gracefully (exit 0) when Blender is absent — so they're safe to call anywhere, but only DO work on a machine with Blender configured.

When to use

  • A lesson names a .glb/.gltf/.blend/.fbx the learner should download, and you need to produce or convert it.
  • You have a Kenney/CC0 source (often .fbx or .glb) and need the editable .blend and a Godot-ready .glb.
  • Do NOT convert what already exists in the right form — most Kenney props already ship a .glb; use it directly. Convert only to (a) derive a missing .blend, (b) turn an FBX-only asset into .glb, or (c) emit the same asset in multiple formats for a format-comparison lesson.

The two tools

Derive an editable .blend (glb/gltf/fbx/obj → .blend)

mise run make-blend -- <input.glb|.gltf|.fbx|.obj> [--out reference/blender/NAME.blend] [--force]

Imports the source into an empty scene, applies transforms (fixes FBX-cm 100× + axis bugs), saves a compressed .blend. Default output is <input>.blend beside the input.

ASCII FBX is unsupported. Blender's importer rejects it ("ASCII FBX files are not supported"). Kenney kits ship ASCII FBX — derive the .blend from the kit's .glb instead (Kenney ships both). Prefer .glb/.gltf sources for make-blend when available.

Export a Godot-ready glTF (.blend/fbx/obj/gltf → .glb/.gltf)

mise run export-godot-glb -- <input.blend> [--out reference/code/SLUG/NAME.glb] [--separate] [--apply] [--force]

Exports with Godot-correct options (export_yup — glTF/Godot 4 are both +Y-up, so no import rotation; lights/cameras excluded; materials from Principled BSDF), then runs the Tier-1 structural oracle (gltf-format-oracle.py) on the result and fails if it doesn't pass.

  • --separate — emit .gltf + .bin + textures (the "files travel together" case) instead of .glb.
  • --apply — bake modifiers (static props only). Omit for rigged/morph assets — baking DROPS shape keys.

Read the full file on GitHub · 82 lines

Changes

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.

  1. 1mo ago Changed · +4 lines a2dde02c16dd
  2. 1mo ago First seen · 78 lines · 115 tokens per session scan A 82b570881745

Subscribe to this mod's changes

asset-conversion is a skill published in the GitHub repository smileynet/teach-me (3 stars, last pushed 25d ago), licensed MIT. It adds 115 tokens to every session and 1,290 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-08.