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 konglong87/superPM --skill pm-brand-motiongit clone --depth 1 https://github.com/konglong87/superPMWrote 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/konglong87/superpm/pm-brand-motion)<a href="https://agentmods.dev/skills/konglong87/superpm/pm-brand-motion"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-brand-motion/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/konglong87/superpm/pm-brand-motion"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-brand-motion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00077 | $0.09038 |
| Opus 5.5 | $0.00031 | $0.03615 |
| Sonnet 5.5 | $0.00015 | $0.01808 |
| Haiku 4.5 | $0.00008 | $0.00904 |
Grade A, and why
pm-brand-motion scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 843 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preamble (run first)
# 检查方案设计目录
# 检查前置文档
echo "📊 正在检查前置文档..."
if [ -f "docs/02-方案设计/原型设计方案.md" ]; then
echo "✅ 原型设计方案 - 已找到"
else
echo "⏳ 原型设计方案 - 未找到"
fi
if [ -f "docs/02-方案设计/产品定位方案.md" ]; then
echo "✅ 产品定位方案 - 已找到"
else
echo "⏳ 产品定位方案 - 未找到"
fi
# 检查 logo 文件
echo ""
echo "🎨 正在检查 logo 文件..."
for ext in svg png jpg webp; do
if ls logo.*.$ext 2>/dev/null | head -1 > /dev/null 2>&1; then
echo "✅ logo 文件 (.$ext) - 已找到"
fi
done
echo "⏳ 如果没有 logo 文件,将在步骤中引导您提供"
写入时边界
只讨论时不写文件,启动检查不创建目录。用户要求保存产物时,先确认当前产品、精确输出路径及已有文件的覆盖/追加选择;确认后仅在实际 Write 前创建该输出文件的父目录。完整安装可参见 skills/_shared/artifact-policy.md,单独安装本 skill 也按本段执行。
前置门禁
必需文档(至少满足一项):
- 原型设计方案(
docs/02-方案设计/原型设计方案.md) - 产品定位方案(
docs/02-方案设计/产品定位方案.md)
可选文档:
- 需求调研报告
- MVP方案
Logo 文件(至少满足一项):
- SVG 格式 logo(优先)
- PNG/JPG/WebP 格式 logo 图片
如果必需文档均不存在:
⚠️ 未找到前置文档
品牌动效设计需要了解产品的视觉定位和品牌性格。
您可以选择:
A) 执行 /pm-position 生成产品定位方案
B) 执行 /pm-proto 生成原型设计方案
C) 手动输入品牌信息(快速模式)
是否继续?
跨 Agent 交互规则
当流程要求与用户交互时:
- 如果当前环境支持 AskUserQuestion,使用 AskUserQuestion(最佳体验)。
- 如果当前环境不支持 AskUserQuestion,必须用普通聊天消息提出同样问题。
- 一次只问一个问题。
- 提问后必须停止当前回合,等待用户回答(STOP and WAIT)。
- 不得在用户回答前生成文档、写入 docs。
- 已有 docs 文件不能替代本轮用户回答。
执行流程
步骤 1: 确定动效范围
使用 AskUserQuestion 询问:
您需要设计哪种类型的品牌动效?
A) Logo 开场动画(splash / 品牌展示页) B) 加载状态动画(loading / 等待提示) C) 交互微动效(hover / 点击反馈) D) 页面过渡动画(转场 / 切换) E) 其他(请手动输入)
💡 提示:
- 新品牌首发 → 推荐开场动画
- 已上线产品 → 推荐交互微动效
- 需要全面规划 → 可以多选,先做开场动画
记录到变量 MOTION_SCOPE
步骤 2: 读取前置数据
根据动效范围读取相应文档:
从产品定位方案提取:
- 品牌性格描述
- 目标用户画像
- 品牌视觉风格
从原型设计方案提取:
- 设计规范建议(色彩、字体)
- 页面布局结构
- 交互流程
读取 Logo 文件:
- 优先读取 SVG 格式(可直接用于动画)
- 如果只有图片格式,使用 Read 工具查看图片,理解 logo 的视觉结构
读取失败处理:
如果 logo 文件不存在:
⚠️ 未找到 logo 文件
品牌动效需要基于 logo 进行设计。
您可以选择:
A) 提供 logo 文件路径(我将读取分析)
B) 描述 logo 的视觉结构(文字描述模式)
C) 先完成动效方案文档,后续再制作 demo
是否继续?
步骤 3: 定义品牌动效性格
3.1 确定性格词
使用 AskUserQuestion 询问:
品牌的动效性格是什么?请选择最符合的 3 个词:
A) 精准·专业·可靠(克制稳定,适合金融/企业/医疗) B) 活力·大胆·进取(有力冲击,适合运动/科技/创业) C) 温暖·友好·亲切(柔和包容,适合教育/社交/生活) D) 优雅·精致·高端(流畅从容,适合奢侈品/设计/艺术) E) 其他组合(请手动输入,如"沉稳·厚重·权威")
💡 提示:
- 性格词决定动效的节奏、力度和编排方式
- 可以从 logo 的视觉语言推导:几何感 → 精准,有机感 → 温暖,极简 → 优雅
- 如果有产品定位方案,优先参考其中的品牌性格描述
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 Changed · +4 lines 94ee59208f52
- 1mo ago First seen · 839 lines · 77 tokens per session scan A ab9e354dc862
pm-brand-motion is a skill published in the GitHub repository konglong87/superPM (83 stars, last pushed yesterday), licensed MIT. It adds 77 tokens to every session and 9,038 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 2026-08-30.
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