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 sumo1/AI-GAME-COOL --skill shape-colorsgit clone --depth 1 https://github.com/sumo1/AI-GAME-COOLWrote 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/sumo1/ai-game-cool/shape-colors)<a href="https://agentmods.dev/skills/sumo1/ai-game-cool/shape-colors"><img src="https://agentmods.dev/badge/skills/sumo1/ai-game-cool/shape-colors/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/sumo1/ai-game-cool/shape-colors"><img src="https://agentmods.dev/badge/skills/sumo1/ai-game-cool/shape-colors.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 | $0.00507 |
| Opus 5 | $0.00019 | $0.00253 |
| Sonnet 5 | $0.00008 | $0.00101 |
| Haiku 4.5 | $0.00004 | $0.00051 |
Grade A, and why
shape-colors 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 9d 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
形状颜色大冒险
图形识别与颜色分类互动游戏，适合 4-6 岁幼儿，通过拖拽和点击认识基本形状和颜色。
何时使用
用户提到形状、颜色、图形、认知、分类、圆形、三角形、正方形等关键词时激活此 Skill。
生成步骤
- 确定认知目标（形状识别/颜色识别/形状+颜色组合）
- 参考
assets/template.html的交互模式 - 根据用户需求调整：
- 形状种类（基本形状 vs 扩展形状如六边形、椭圆等）
- 颜色范围（基本三原色 vs 更多颜色）
- 题目类型（识别形状、识别颜色、颜色+形状组合）
- 视觉主题（动物形状、水果颜色等）
- 调用 generateGame 生成完整 HTML
- 调用 evaluateGame 检查质量
评估重点
- 形状和颜色展示清晰可辨
- 点击选项后有明确的对错反馈
- 有计分系统且分数正确累计
- 题目随机生成
- 所有元素在可见区域内
- 适合 4-6 岁幼儿的认知水平
- 鼓励式反馈（失败时不惩罚）
常见问题
- 形状颜色与题目不匹配 → 确保随机生成题目时，正确答案包含在选项列表中且位置随机化
- 拖拽功能在移动端失效 → 同时监听 touch 和 mouse 事件，使用 e.touches[0] 获取触摸坐标
- 选项按钮点击无响应 → 检查事件委托是否正确，确保动态生成的按钮也绑定了点击事件
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.
- 9d ago First seen · 45 lines · 38 tokens per session scan A 40c8703c4751
shape-colors is a skill published in the GitHub repository sumo1/AI-GAME-COOL (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 507 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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