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 AgenticAIPlan/AgenticAISkills --skill ai-event-plannergit clone --depth 1 https://github.com/AgenticAIPlan/AgenticAISkillsWrote 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/agenticaiplan/agenticaiskills/ai-event-planner)<a href="https://agentmods.dev/skills/agenticaiplan/agenticaiskills/ai-event-planner"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/ai-event-planner/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/agenticaiplan/agenticaiskills/ai-event-planner"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/ai-event-planner.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 | $0.00117 | $0.01858 |
| Opus 5 | $0.00059 | $0.00929 |
| Sonnet 5 | $0.00023 | $0.00372 |
| Haiku 4.5 | $0.00012 | $0.00186 |
Grade A, and why
ai-event-planner 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 12d 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 — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Event Planner - AI技术活动策划助手
Overview
为大模型运营部门提供AI技术交流活动的一站式策划支持，包括主题生成、嘉宾画像推荐、议程设计和文案输出。
Workflow
Step 1: 收集输入信息
必须收集的关键信息：
- 活动规模（人数）
- 活动时间（日期和时长）
- 活动形式（线上、线下、混合；闭门会、公开课、沙龙、峰会等）
- 目标受众（开发者、客户、合作伙伴、学生、企业决策者等）
- 城市、场地或线上平台约束
- 预算范围、主办方资源和可邀请嘉宾边界
- AI技术领域（宏观大类：如大模型、小模型、智能体、多模态等）
- 具体技术名称（如PaddleOCR-VL1.5、文心一言等）
信息收集原则：
- 优先收集完整信息再开始策划
- 如果关键信息缺失（如活动时间），必须追问
- 如果补充信息缺失（如目标受众、活动形式、城市/地点、预算、嘉宾约束），主动询问以提供更精准的方案
- 避免在信息不足的情况下直接套模板输出通用方案
Step 2: 生成活动主题
基于输入的AI技术领域和具体技术名称，生成5个主题选项：
生成维度：
- 当前热点趋势（结合最新AI发展）
- 行业应用方向（医疗、金融、教育、制造、互联网等）
- 技术深度（入门/进阶/专家）
- 实践案例
- 未来展望
主题格式：
- 主标题（简洁有力，吸引注意力）
- 副标题（说明技术领域和应用方向）
- 简要描述（2-3句话，说明内容重点）
示例：
- "大模型时代的技术变革：从理论到实践的多维探索"
- "PaddleOCR-VL1.5在医疗影像领域的创新应用"
Step 3: 生成嘉宾画像
为每个活动方案推荐3-5位嘉宾画像，包含：
画像要素：
- 专业背景（学术界/工业界/创业界）
- 职位级别（高层/中层/专家）
- 领域专长（具体技术方向）
- 适合环节（主题演讲/圆桌讨论/Demo展示）
画像模板：
嘉宾画像1
- 职位级别：[CTO/技术总监/教授等]
- 专业背景：[学术界/工业界]
- 领域专长：[技术方向]
- 适合环节：[主题演讲/圆桌讨论/Demo展示]
- 演讲方向建议：[主题类型]
多样性考虑：
- 平衡学术界与工业界
- 覆盖不同职位级别
- 确保领域相关性和互补性
Step 4: 生成议程方案
生成两套完整议程：半天版本（4小时）和全天版本（8小时）
议程必须包含：
- 签到环节（活动开始前30分钟）
- 开场致辞（主办方，10分钟）
- 主题演讲（主办方至少1场，其他嘉宾2-4场，每场30-40分钟）
- 茶歇/休息环节（每1-2小时15分钟）
- 圆桌讨论（30-40分钟，需配合主题生成讨论话题）
- Demo展示（20-40分钟）
- 自由交流环节（10-30分钟）
- 总结收尾（10分钟）
百度AI伙伴邀请建议：
- 根据主题推荐应邀请的领域伙伴（硬件、医疗、金融、教育、制造、互联网等）
- 说明推荐理由和技术相关性
全天活动额外要求：
- 午餐休息（90分钟）
- 圆桌讨论2场（可覆盖不同话题）
- 主题演讲5场
参考模板：agenda_template.md 参考指导：agenda_design_guide.md
议程格式： 使用表格形式，包含：时间、环节、内容、时长
Step 5: 生成宣传文案
生成以下两种文案：
5.1 邀请函文案
生成正式和简洁两个版本，包含：
- 活动主题
- 时间地点
- 活动亮点
- 核心议题
- 嘉宾邀请
- 回复方式
5.2 社群预热文案
生成适合不同平台的文案：
- 微信社群正式版
- 微信社群简洁版
- 微信朋友圈文案
- 钉钉/飞书社群文案
包含要素：
- 活动预告
- 核心看点
- 时间地点
- 报名方式
- 氛围营造
Step 6: 生成完整Markdown文档
整合以上内容，生成结构化的Markdown文档：
What ships with it
6 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.
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.
- 12d ago First seen · 226 lines · 117 tokens per session scan A dd2474b575a2
ai-event-planner is a skill published in the GitHub repository AgenticAIPlan/AgenticAISkills (11 stars, last pushed 3mo ago), licensed MIT. It adds 117 tokens to every session and 1,858 once invoked, about $0.0006 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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