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 Amalia6767/curator-skills --skill interaction-team-deliverablesgit clone --depth 1 https://github.com/Amalia6767/curator-skillsWrote 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/amalia6767/curator-skills/interaction-team-deliverables)<a href="https://agentmods.dev/skills/amalia6767/curator-skills/interaction-team-deliverables"><img src="https://agentmods.dev/badge/skills/amalia6767/curator-skills/interaction-team-deliverables/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/amalia6767/curator-skills/interaction-team-deliverables"><img src="https://agentmods.dev/badge/skills/amalia6767/curator-skills/interaction-team-deliverables.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 | $0.00035 | $0.02425 |
| Opus 5 | $0.00017 | $0.01213 |
| Sonnet 5 | $0.00007 | $0.00485 |
| Haiku 4.5 | $0.00003 | $0.00243 |
Grade A, and why
interaction-team-deliverables 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
交互组交付技能（Interaction Team Deliverables）
技能概述
本技能用于将策划团队完成的策划篇（投标方案_策划篇.md）内容转化为交互组可执行的设计交付文件，确保满足招标文件技术评分要求。
一、评分项对照表（交互相关 共24分）
以下评分项需要交互组重点响应：
| 评分项 | 分值 | 考察内容 | 策划篇参考 |
|---|---|---|---|
| 2.2 重点展项设计深化 | 6分 | 核心展项设计思路、交互场景操作方法、材质说明 | 1.2.4 展陈大纲要点、数据星河设计 |
| 3.1 内容设计平台 | 6分 | 展示内容增删改方案、可视化操作、API对接 | 2.4 进化工具力、拖拽式平台 |
| 3.2 交互体验与创新 | 6分 | 交互形式创新（语音/人脸等）、AI交互特色展项 | 1.2.4 AI体验区4场景 |
| 3.3 数字内容可视化 | 6分 | UI/UX设计、复杂内容转化为动态可视化 | 分层叙事L1/L2/L3 |
二、A/B/C/D/E 多风格切换需求
2.1 风格定义（源自真实项目设计任务书，已脱敏；使用时按实际项目替换）
| 风格 | 公司定位 | 内容模块 | 页面数量 |
|---|---|---|---|
| A风格 | 科技服务公司（大模型智能体行业解决方案） | 企业介绍、大事记、荣誉资质、业务发展、合作方、科技展示 | 约20页 |
| B风格 | 资产管理公司（资产管理业务+科技赋能） | 企业介绍、大事记、荣誉资质、业务发展、合作方、科技赋能、运营管理、社会责任、企业文化 | 约13页 |
| C风格 | 集团公司（投资+科技服务） | 企业介绍、业务介绍、发展历程、荣誉资质、未来展望 | 约5页 |
| D/E风格 | 未来扩展 | 待定，需具备可延续性 | — |
2.2 切换维度要求
交互组需实现以下维度的一键切换：
| 切换维度 | 具体内容 | 技术实现参考 |
|---|---|---|
| Logo | 各风格独立Logo位 | 磁吸展板、模块化屏幕模板 |
| 色彩体系 | A科技蓝、B金融金、C党建红/企业色 | DALI灯光系统、内容模板 |
| 灯光氛围 | 色温/强调色/数据星河光效同步切换 | 中控一键配置 |
| 内容版式 | 字体、图表样式、背景、信息架构 | 风格模板+组件库 |
2.3 策划篇参考位置
- 三、展陈主题推导 → 棱镜理念、液态叙事
- 2.2.4 一厅多用·方案回应
- 1.3 精准角色力 → 中控一键配置方案
三、四大核心交互场景设计
3.1 科技体验区（重点）
策划篇定义了4个AI交互场景，交互组需深化设计：
| 场景 | 策划描述 | 交互设计要点 | 技术实现 |
|---|---|---|---|
| AI面试体验 | AI面试官提问→参观者作答→实时分析→生成面试报告 | 语音识别+NLP+实时反馈+报告生成 | 企业自研大模型接口 |
| 人脸识别安全体验 | 人脸+活体检测，照片/视频欺骗尝试失败 | 人脸采集→防伪检测→结果可视化 | 多模态防伪引擎 |
| 数字人克隆体验 | 参观者录制短视频→AI生成数字人分身 | 视频采集→数字人生成→播放展示→可带走 | 数字人合成技术 |
| 语音识别体验 | 语音识别、智能客服场景 | 语音输入→识别→对话交互 | ASR/TTS/客服系统 |
设计原则：
- 体验区不设固定标识，支持场景切换
- 每个场景需有明确的操作流程图
- 需评估技术可实现性并标注依赖系统
3.2 策划篇参考位置
- 1.2.4 展陈大纲要点 → 达·体验区
- 1.1.1 业务全景图 → 技术底座（企业自研大模型、多模态引擎）
四、内容设计平台需求
4.1 核心功能需求
| 功能 | 评分要求 | 策划篇定义 |
|---|---|---|
| 可视化编辑 | 后台界面为可视化操作面板 | 拖拽式排版，所见即所得 |
| 非技术人员易用 | 无需专业编程知识 | 5分钟完成一个页面 |
| 组件库 | — | 50+金融科技专用图表组件 |
| 模板管理 | 支持后期更换展项内容 | A/B/C风格模板预设 |
| API对接 | 支持对接业务数据平台 | 预留接口，实时数据同步 |
| 版本控制 | — | 历史版本保存，支持回滚 |
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.
- 12d ago First seen · 184 lines · 35 tokens per session scan A bc5b22c1d704
interaction-team-deliverables is a skill published in the GitHub repository Amalia6767/curator-skills (4 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 2,425 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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