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 CheshireJCat/blender --skill texture-state-animationgit clone --depth 1 https://github.com/CheshireJCat/blenderWrote 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/cheshirejcat/blender/texture-state-animation)<a href="https://agentmods.dev/skills/cheshirejcat/blender/texture-state-animation"><img src="https://agentmods.dev/badge/skills/cheshirejcat/blender/texture-state-animation/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/cheshirejcat/blender/texture-state-animation"><img src="https://agentmods.dev/badge/skills/cheshirejcat/blender/texture-state-animation.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 | $0.00063 | $0.00590 |
| Opus 5 | $0.00032 | $0.00295 |
| Sonnet 5 | $0.00013 | $0.00118 |
| Haiku 4.5 | $0.00006 | $0.00059 |
Grade A, and why
texture-state-animation 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.
This is a copy
91% identical to texture-state-animation — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Texture State Animation
This skill exists because “crossfade several full images” usually looks bad. Texture animation must be designed like motion graphics: registered states, constrained transition channels, and preview gates.
Failure modes to avoid
- Whole-frame crossfades between unrelated crops/compositions.
- Python frame handlers as the only playback mechanism when export/runtime support is needed.
- Texture swaps that change silhouette, camera crop, or scale at the same time as decorative motion.
- Mixing aura/background/HUD pixels into the avatar surface texture unless that is the intent.
- Morph pulses that break accepted geometry constraints such as constant depth.
Workflow
- Register states first: crop, scale, align, and color-normalize all source states into one canvas and one semantic mask.
- Classify pixels/layers:
- avatar surface/base;
- facial decal/features;
- glow/emission accents;
- background/aura/context;
- HUD/circle elements.
- Choose transition type per layer, not one global blend:
- avatar surface: hold, shimmer, subtle value/roughness pulse, or masked dissolve;
- face features: hold or short opacity fade;
- glow accents: emission pulse / traveling highlight;
- aura/HUD: independent orbit/dash/dot animation;
- background: separate plane/compositor, never baked into avatar unless requested.
- Use export-compatible channels when needed:
- keyframed material values, opacity, UV transform, shape keys, object transforms;
- image sequence only if target supports it;
- avoid Blender Python handlers for final GLB unless the target runtime will recreate them.
- Render a contact sheet and flicker report before calling the animation acceptable.
Acceptance gates
- Each texture state is registered to the same bbox/landmarks.
- No full-canvas crossfade is used unless state registration and semantics match.
- Avatar silhouette remains stable unless the story explicitly calls for a morph.
- Context/aura elements are separate from the avatar material.
- The exported format can reproduce the animation, or limitations are documented.
What ships with it
1 file 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.
- 10d ago First seen · 52 lines · 63 tokens per session scan A 8b07b81e0403
texture-state-animation is a skill published in the GitHub repository CheshireJCat/blender (26 stars, last pushed 20d ago), licensed MIT. It adds 63 tokens to every session and 590 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to texture-state-animation, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
dsh-web-pet-developer
Create a pet for the dsh-pet plugin and integrate it into the dsh web GUI — author a v2 pet.json manifest plus an 8-column x 9-row atlas per the Codex/hatch-pet contract (live2d pets, voice packs and status decorations included), drop it into the pet-center user directory or contribute it as a built-in asset under…
yao-image
Image expert. ALWAYS invoke this skill when you need to read, analyze, describe, or generate images. Use for screenshots, photos, charts, diagrams, AI-generated images, or any visual content.
yao-audio
Audio expert. ALWAYS invoke this skill when the user asks to transcribe, recognize, or convert speech/audio to text.
agent-first-screenshots
Agent-first screenshots — an agent drives the real app via CDP and produces clean, defect-free product screenshots (newsletters, landing pages, social, decks, PR). Dual-channel verification (DOM + pixels + vision) in a capture loop. Use for any "take/redo screenshots of the app" task.
voiceover
write the voice-over, demo script first, voiceover instead of PRD, voiceover-first development, align on the demo, script the demo, ship a feature demo-first. The whole demo-driven journey — approve the narration BEFORE any code, then build on a fresh worktree until the demo holds and open the PR with the proof on it.…
ipollowork-template-generation
Create or update reusable iPolloWork templates through conversation for Design, Slides/native editable PPT, and HyperFrames Video. Use when planning, generating, repairing, validating, or saving a template package, manifest, reusable variables, cover, slide/PPT markers, video composition, or design-system token…