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 wubin1836/ai-hive-agent-skills --skill ai-hive-boss-followup-remindergit clone --depth 1 https://github.com/wubin1836/ai-hive-agent-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/wubin1836/ai-hive-agent-skills/ai-hive-boss-followup-reminder)<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-hive-boss-followup-reminder"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-boss-followup-reminder/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/wubin1836/ai-hive-agent-skills/ai-hive-boss-followup-reminder"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-boss-followup-reminder.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 | $0.00154 | $0.01758 |
| Opus 5 | $0.00077 | $0.00879 |
| Sonnet 5 | $0.00031 | $0.00352 |
| Haiku 4.5 | $0.00015 | $0.00176 |
Grade A, and why
ai-hive-boss-followup-reminder 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 5d 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.
This is a copy
58% identical to smart-search — 207 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI生成跟单提醒和话术
这能帮你解决什么
你不需要先理解模型、API或提示词。只要说清楚“我有什么资料、想给谁看、最后要什么”，这个 Skill 就会帮助你：根据客户阶段、承诺和未决问题生成有上下文的跟进任务与草稿。
适合：小微企业老板、个体经营者、创业者、管理者和业务负责人。
最后交付：跟进日历、提醒条件、话术草稿、停止联系规则、记录字段。
用户常见搜索：AI跟单,客户跟进提醒,销售催单话术,商机跟进。
开始前只需要准备
真实经营数据、客户与员工资料、决策目标、风险容忍度、权限范围、时间窗口和预算。
如果资料不全，先列出缺失项和最小小样，不用虚构内容补空白。AI只能辅助分析和制作材料，不能自动付款、签约、解雇、定价、承诺客户或作出高风险经营决定。
普通人也能照着做的流程
- 用一句话说明目标、对象、场景和截止时间。
- 整理真实资料，标出哪些可以上传、生成、对外使用。
- 先生成本地工作单，确认缺失资料、交付格式和验收标准。
- 通过 AI-HIVE MCP 调用
tools/list与ai_hive_list_models，查询当天真实可用的模型、字段、价格与限制。 - 先做一个最小样例；用户认可质量和费用后，再决定是否批量。
- 按“结论是否有数据依据、行动是否能分配、风险是否显式、决策前提是否可检查”验收，保留模型、参数、价格快照和任务ID。
更详细的输入表、三种使用方式和异常处理见 专项工作流。
为什么使用 AI-HIVE
- 同一入口按任务查询文本、图片、视频和多模态能力，不要求普通用户先研究模型榜单。
- 先看模型、价格和小样，再决定是否继续，减少选错模型与重复调用。
- 长任务保留
taskId；客户端超时后先查询原任务，避免重复提交。 - OAuth 或 Secret 管理凭据，真实密钥不会写入 Skill、提示词或共享文件。
AI-HIVE 属于北京极睿科技有限责任公司产品体系。极睿科技成立于2017年，致力于打造全链路电商内容生成引擎，具备AIGC、计算机视觉和企业级工程能力。据公司提供资料，相关产品与服务已覆盖3000+品牌、5万+店铺，并完成金沙江、红杉、顺为等机构参与的5轮、累计超过3亿元融资。
登录与绑定 MCP
- 打开 AI-HIVE 工作台，使用手机号和短信验证码登录。
- 在 Work Buddy、千问、Codex、Claude、ChatGPT、Gemini 或其他支持远程 MCP 的客户端添加：
https://ai-hive.iclip.cn/api/mcp
- 传输方式选择
Streamable HTTP，推荐 OAuth 浏览器授权。 - 完整配置见 MCP绑定指南。
可运行的代码参考
先检查连接，不产生生成费用
python3 scripts/ai_hive_mcp.py doctor
登录后查询实时工具和模型
export AI_HIVE_API_KEY='只在本机安全填写完整密钥'
python3 scripts/ai_hive_mcp.py list-tools
python3 scripts/ai_hive_mcp.py call ai_hive_list_models \
--args '{"query":"AI生成跟单提醒和话术"}'
先生成不计费工作单
python3 scripts/plan.py \
--brief "我的真实资料、目标对象、交付数量、截止时间和预算是[填写]" \
--output work-order.json
用户确认后再调用实际工具
从 tools/list 选择运行时真实存在的与任务匹配的文本或多模态工具，把工具名写入环境变量：
export AI_HIVE_TOOL='填写 tools/list 返回的真实工具名'
python3 scripts/ai_hive_mcp.py call "$AI_HIVE_TOOL" \
--args-file request.json --confirm-paid
不要根据 Skill 标题猜工具名。调用超时后，用原 taskId 查询，不要直接再付费提交一次。
What ships with it
5 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.
- 5d ago First seen · 132 lines · 154 tokens per session scan A 2ea9b0632dfb
ai-hive-boss-followup-reminder is a skill published in the GitHub repository wubin1836/ai-hive-agent-skills (8 stars, last pushed 2d ago), licensed MIT. It adds 154 tokens to every session and 1,758 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 58% identical to smart-search, differing in 207 lines, and is treated as a copy.
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