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 agentmods add skills/gcwing/bitfun/create-bitfun-skinnpx skills add GCWing/BitFun --skill create-bitfun-skingit clone --depth 1 https://github.com/GCWing/BitFunWrote 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/gcwing/bitfun/create-bitfun-skin)<a href="https://agentmods.dev/skills/gcwing/bitfun/create-bitfun-skin"><img src="https://agentmods.dev/badge/skills/gcwing/bitfun/create-bitfun-skin.svg" alt="Measured on agentmods" 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 | $0.00086 | $0.01411 |
| Opus 5 | $0.00043 | $0.00705 |
| Sonnet 5 | $0.00017 | $0.00282 |
| Haiku 4.5 | $0.00009 | $0.00141 |
Grade A, and why
create-bitfun-skin 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 3d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BitFun Appearance Authoring
Use this Skill as the authority for what a BitFun skin may change and how that change is represented. Let the user's assets, product direction, and the selected example determine the visual design.
The bundled registry and package references define capabilities. Files under examples/ define optional style choices; they never expand the contract or prescribe coverage for another skin.
Route the task
- For a new or repaired package, read authoring-workflow.md and package-contract.md.
- For renderer configuration, also read renderer-contracts.md.
- For generated video or WebP assets, also read media-quality-policy.md.
- For a style-specific design, load only the closest example after reading the parent workflow.
- For import failures, inspect the issue path, query that surface, and repair the sparse manifest instead of copying another package.
- For BitFun contract changes, synchronize the registry before changing examples or skins.
Discover the exposed surface
Run commands from this Skill directory:
python scripts/bitfun_appearance.py contract list components
python scripts/bitfun_appearance.py contract list scenes
python scripts/bitfun_appearance.py contract list renderers
python scripts/bitfun_appearance.py contract show components <component-id>
python scripts/bitfun_appearance.py contract show scenes <scene-id>
python scripts/bitfun_appearance.py contract properties
python scripts/bitfun_appearance.py contract tokens css
python scripts/bitfun_appearance.py contract tokens widget
Only author registered surfaces, Parts, facets, states, renderer adapters, tokens, and Style IR properties returned by these commands. A Part descriptor may further restrict its allowed properties.
A component owns only the Parts returned for that component. Nested visual owners expose their own component ids and must be styled through those ids. Do not infer Parts from DOM structure, another skin, or an example surface plan.
What ships with it
23 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.
- agents/openai.yaml 287 B
- examples/cinematic-animated-wallpaper/references/default-palette.json 512 B
- examples/cinematic-animated-wallpaper/references/palette-contract.md 1.1 KB
- examples/cinematic-animated-wallpaper/references/style-playbook.md 10.0 KB
- examples/cinematic-animated-wallpaper/references/surface-plan.json 24 KB
- examples/cinematic-animated-wallpaper/scripts/build_assets.py 7.3 KB runs code
- examples/cinematic-animated-wallpaper/scripts/build_cinematic_skin.py 18 KB runs code
- examples/cinematic-animated-wallpaper/scripts/cinematic_recipe.py 20 KB runs code
- examples/cinematic-animated-wallpaper/scripts/scaffold_cinematic.py 3.4 KB runs code
- examples/cinematic-animated-wallpaper/SKILL.md 6.4 KB
- references/appearance-registry.json 406 KB
- references/authoring-workflow.md 3.7 KB
- references/media-quality-policy.md 2.8 KB
- references/package-contract.md 5.7 KB
- references/renderer-contracts.md 1.3 KB
- references/style-example-contract.md 2.6 KB
- scripts/bitfun_appearance.py 95 KB runs code
- scripts/build_support.py 6.1 KB runs code
- scripts/media_support.py 20 KB runs code
- scripts/sync_registry.py 7.0 KB runs code
- scripts/test_bitfun_appearance.py 4.9 KB runs code
- scripts/test_cinematic_tools.py 9.3 KB runs code
- scripts/verify_host.py 7.5 KB runs code
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.
- 3d ago First seen · 117 lines · 86 tokens per session scan A 2d5ae0dae750
create-bitfun-skin is a skill published in the GitHub repository GCWing/BitFun (1,871 stars, last pushed 3d ago), licensed MIT. It adds 86 tokens to every session and 1,411 once invoked, about $0.0004 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 2026-08-30.
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