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 meeting-brief-generatorgit 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/meeting-brief-generator)<a href="https://agentmods.dev/skills/agenticaiplan/agenticaiskills/meeting-brief-generator"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/meeting-brief-generator/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/meeting-brief-generator"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/meeting-brief-generator.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 | $0.00069 | $0.01376 |
| Opus 5 | $0.00034 | $0.00688 |
| Sonnet 5 | $0.00014 | $0.00275 |
| Haiku 4.5 | $0.00007 | $0.00138 |
Grade A, and why
meeting-brief-generator 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.
What it actually says
重要会谈谈参生成助手
输入要求
必填信息
- 会谈对象（机构名称）
- 会谈类型
- 我方参会领导
- 对方参会人（及职务）
选填信息（建议尽可能提供）
- 会谈时间、地点
- 会谈语言
- 地区维度（厦门/香港/深圳/成都/长沙/东莞/武汉/南昌/广州等）
- 会谈目标
- 已有合作基础材料
- 对方诉求说明
- 我方诉求说明
- 是否涉及签约/PR/商业化/数据合作
- 补充材料（文档链接、飞书记录等）
执行步骤
- 判断会谈地区维度 - 识别属于哪个城市/区域（厦门/香港/深圳/成都等）
- 判断会谈对象类型 - 企业 / 高校科研机构 / 政府 / 开源社区 / 国际组织
- 检索公开信息 - 自动检索对方（机构/人物）的公开信息
- 提取对方画像 - 行业地位、核心业务、技术资源、近期动态
- 识别关键人 - 教育/职业背景、代表成果、行业影响力
- 梳理地区合作基础 - 该地区的已有合作、政策环境、业务特色
- 梳理合作成熟度 - 技术验证 / 产品共创 / 落地案例 / 生态合作 / 商业化
- 分析双方诉求 - 对方想什么、我要什么
- 设计会谈主线 - 本次谈什么、怎么谈
- 生成领导话术 - 开场、中段、结尾
- 输出风险提示 - 敏感点、避坑建议
- 规划后续动作 - 会后谁跟进、推进什么
公开信息检索规则
当会谈对象涉及以下情况时，自动检索公开信息：
- 政府官员：检索职务、履历、工作重点、近期动向
- 知名企业：检索企业简介、行业地位、核心业务、近期动态
- 代表性人物：检索教育/职业背景、代表成果、行业影响力
- 高校/科研机构：检索机构定位、研究方向、科研成果
信息整理风格
人物信息：姓名、职务、简介、履职信息、人物经历、最新动向、重点关注领域（使用时间线罗列）
企业信息：合作背景、合作成熟度、合作内容（列表）、可对外表达亮点、话术引用、后续推进
政策信息：政策名称、发布机构、发布时间、政策类型、核心内容、支持措施、数据指标
地区信息：负责人、业务定位、政策环境（表格）、核心合作（表格）、业务特色（分段）
输出结构
一、会谈背景
- 会谈时间、地点、形式
- 地区维度（厦门/香港/深圳/成都等）
- 参会人员
- 会谈定位
二、地区合作基础
- 该地区政策环境
- 该地区已有合作基础
- 该地区业务特色
- 该地区政府/协会关系
三、对方情况
- 机构简介
- 行业地位
- 核心业务/技术
- 近期进展
- 行业影响力
四、关键人介绍
- 个人背景
- 代表成果
- 行业影响力
- 适合领导提及的尊重性表达
五、过往合作基础
- 合作时间线
- 技术合作
- 产品共创
- 落地案例
- 生态互动
- 商业化进展
六、对方核心诉求
- 表层需求
- 中层需求
- 深层需求
七、我方核心诉求
- 战略诉求
- 产品诉求
- 技术诉求
- 商业化诉求
- 品牌传播诉求
八、建议交流主线
- 本次会谈建议围绕什么展开
- 重点突出什么
- 避免什么
九、领导谈话参考
- 开场寒暄
- 对对方的认可
- 对过往合作的肯定
- 对未来合作的期待
- 建议提问
十、后续推进建议
- 近期可推进（0-3个月）
- 中期可共创（3-12个月）
- 长期可上升为战略合作（1年以上）
- 责任分工
十一、风险提示与待确认事项
- 敏感信息
- 避坑建议
- 需核实的问题
参考资料
- references/EXPERIENCE.md - 核心经验模型
- references/TEMPLATES.md - 对象类型模板 + 地区模板
- references/TALKING_POINTS.md - 话术模板
- references/CAPABILITIES.md - 我方能力标签
- references/CASES.md - 合作案例
- references/REGIONS.md - 地区业务特色
- references/RISKS.md - 风险标签
- references/INPUT_TEMPLATE.md - 输入模板
- references/INTERACTION.md - 交互提示词
- references/INFORMATION_RETRIEVAL.md - 信息检索与整理风格
What ships with it
11 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.
- README.md 6.8 KB
- references/CAPABILITIES.md 6.2 KB
- references/CASES.md 18 KB
- references/EXPERIENCE.md 7.7 KB
- references/INFORMATION_RETRIEVAL.md 9.3 KB
- references/INPUT_TEMPLATE.md 6.9 KB
- references/INTERACTION.md 11 KB
- references/REGIONS.md 17 KB
- references/RISKS.md 6.6 KB
- references/TALKING_POINTS.md 6.7 KB
- references/TEMPLATES.md 10 KB
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 · 144 lines · 69 tokens per session scan A 7abbe94923bf
meeting-brief-generator is a skill published in the GitHub repository AgenticAIPlan/AgenticAISkills (11 stars, last pushed 3mo ago), licensed MIT. It adds 69 tokens to every session and 1,376 once invoked, about $0.0003 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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