Loom is a delivery harness that guides coding agents through defining, planning, implementing, checking, repairing, previewing, and handing off software changes. It is used with Claude Code, Codex, OpenCode, and other coding agents when work must be continued or inspected across sessions. The catalogue skills, hooks, commands, instructions, and plugin extend or operate this workflow.
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 valkor-ai/loom --skill threejs-image-generatorgit clone --depth 1 https://github.com/valkor-ai/loomWrote 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/valkor-ai/loom/threejs-image-generator)<a href="https://agentmods.dev/skills/valkor-ai/loom/threejs-image-generator"><img src="https://agentmods.dev/badge/skills/valkor-ai/loom/threejs-image-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/valkor-ai/loom/threejs-image-generator"><img src="https://agentmods.dev/badge/skills/valkor-ai/loom/threejs-image-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 | $0.00076 | $0.01204 |
| Opus 5.5 | $0.00030 | $0.00482 |
| Sonnet 5.5 | $0.00015 | $0.00241 |
| Haiku 4.5 | $0.00008 | $0.00120 |
Grade A, and why
threejs-image-generator 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.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Three.js Image Generator
The 2D layer for Three.js games: concepts, textures, decals, UI art, and the source images that feed threejs-3d-generator for image-to-3D.
Resolve <this-skill-dir> from the actual loaded skill file. Resolve sibling skills beside it first, then use the runner's discovered paths. Do not mix installed versions or assume a particular home directory.
When to use
- Image-to-3D references: characters, creatures, buildings, ships, cars, weapons, props, pickups, terrain modules.
- Texture and material references: terrain, road, rock, sand, metal, sci-fi panels, trim sheets, decals, hazard labels, signs.
- Environment plates: skies, backdrops, city horizons, nebulas, menu backgrounds, parallax layers.
- UI art: logos, faction marks, icons, item cards, ability badges, cockpit decals, GUI panels, title art.
- Editing an existing image: style variants, cleanup, palette alignment, concept refinement.
For premium graphics work with generation in scope, generate the high-value 2D surfaces rather than defaulting to hand-coded CSS and flat colors. Respect explicitly procedural art and external-service restrictions. Choose assets from the game's design, not a fixed quota of logos, skies, or icons.
API key
The script reads --api-key or GEMINI_API_KEY. Keys never go in skill files, game code, or reports.
uv run <this-skill-dir>/scripts/generate_image.py probe # GEMINI_API_KEY=SET|MISSING
Keys defined only in a shell profile can be absent from the process env. If the plain probe unexpectedly prints MISSING, use threejs-game-director/scripts/probe_asset_credentials.sh, which sources the profile and probes all three providers.
Commands
Run from the game project so output lands in it:
uv run <this-skill-dir>/scripts/generate_image.py \
--prompt "your image description" --filename assets/concepts/output.png --resolution 2K
uv run <this-skill-dir>/scripts/generate_image.py \
--input-image assets/concepts/ship.png \
--prompt "battle-worn red racing livery with clearer material zones" \
--filename assets/concepts/ship-red-livery.png --resolution 2K
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 80 lines · 76 tokens per session scan A 3abbf9e96413
threejs-image-generator is a skill published in the GitHub repository valkor-ai/loom (1,251 stars, last pushed 3d ago), licensed Apache-2.0. It adds 76 tokens to every session and 1,204 once invoked, about $0.0003 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 2026-09-15.
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