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 traffic-safetygit 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/traffic-safety)<a href="https://agentmods.dev/skills/sumo1/ai-game-cool/traffic-safety"><img src="https://agentmods.dev/badge/skills/sumo1/ai-game-cool/traffic-safety/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/traffic-safety"><img src="https://agentmods.dev/badge/skills/sumo1/ai-game-cool/traffic-safety.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 | $0.00039 | $0.00519 |
| Opus 5 | $0.00019 | $0.00260 |
| Sonnet 5 | $0.00008 | $0.00104 |
| Haiku 4.5 | $0.00004 | $0.00052 |
Grade A, and why
traffic-safety 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.
What it actually says
交通安全小卫士
交通安全教育游戏，Canvas 实现，学习红绿灯规则、斑马线过马路，适合 5-9 岁儿童。
何时使用
用户提到交通安全、红绿灯、过马路、斑马线、交通规则等关键词时激活此 Skill。
生成步骤
- 确定交通场景类型（马路/十字路口/环形路口）
- 参考
assets/template.html的 Canvas 渲染和碰撞检测逻辑 - 根据用户需求调整：
- 交通规则重点（红绿灯/斑马线/交通标识）
- 关卡数量和难度（车辆速度/数量/路口复杂度）
- 控制方式（方向键/触摸按钮/手势滑动）
- 视觉风格（俯视/侧视）
- 调用 generateGame 生成完整 HTML
- 调用 evaluateGame 检查质量
评估重点
- Canvas 游戏能正常渲染和运行
- 玩家控制响应灵敏（键盘和触摸）
- 红绿灯按周期正确切换
- 碰撞检测准确（使用 AABB 矩形相交）
- 斑马线和信号灯遵守有加分奖励
- 关卡升级逻辑正确
- 游戏规则说明清晰
- 教育内容（交通规则）融入游戏过程
常见问题
- 碰撞检测不准确 → 使用 getBoundingClientRect() 做 AABB 矩形相交检测，不要用固定距离阈值
- 角色移动超出道路区域 → 在移动函数中添加边界约束，使用 Math.max/Math.min 限制坐标范围
- 交通信号灯状态不切换 → 检查 setInterval 定时器是否正确设置，确保红绿灯状态循环切换
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 · 46 lines · 39 tokens per session scan A f0d5107cbbfb
traffic-safety is a skill published in the GitHub repository sumo1/AI-GAME-COOL (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 39 tokens to every session and 519 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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