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 agentmods add agents/yuhao-corn/manufacturing-agents/analystsgit clone --depth 1 https://github.com/YUHAO-corn/manufacturing-agentsWrote 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/agents/yuhao-corn/manufacturing-agents/analysts)<a href="https://agentmods.dev/agents/yuhao-corn/manufacturing-agents/analysts"><img src="https://agentmods.dev/badge/agents/yuhao-corn/manufacturing-agents/analysts.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.02871 |
| Opus 5 | $0.00000 | $0.01435 |
| Sonnet 5 | $0.00000 | $0.00574 |
| Haiku 4.5 | $0.00000 | $0.00287 |
Grade A, and why
analysts 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 3d 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 — 331 lines — stays where its author put it; the contents beside it link to each section on GitHub.
制造业分析师团队
🎯 团队概述
制造业分析师团队是系统的核心信息收集和分析单元，由4个专业化智能体组成，专注于从不同维度收集和分析影响制造业补货决策的外部信息。
团队特色
- 📊 并行执行: 4个分析师同步工作，提高分析效率
- 🎯 专业分工: 每个分析师专注特定领域，确保分析深度
- 🧠 ReAct推理: 采用推理-行动-观察循环，保证分析质量
- 📈 数据驱动: 基于真实外部数据，提供可靠分析结论
🤖 分析师团队成员
📊 市场环境分析师 (Market Environment Analyst)
🎯 角色定位
专业身份: 制造业宏观经济分析专家
核心使命: 分析影响制造业的宏观环境因素，为补货决策提供经济环境支撑
📋 专业职责
专业领域:
- PMI制造业采购经理指数分析
- PPI生产者价格指数分析
- 原材料价格波动分析
- 政策变化影响评估
- 汇率波动对制造业影响
核心能力:
- 宏观经济指标解读
- 制造业景气度判断
- 成本压力分析
- 政策影响预测
🔧 工具配置
| 工具名称 | 用途 | 数据来源 | 更新频率 |
|---|---|---|---|
get_manufacturing_pmi_data() |
获取PMI指数 | TuShare Pro | 月度 |
get_manufacturing_ppi_data() |
获取PPI指数 | TuShare Pro | 月度 |
get_manufacturing_commodity_data() |
大宗商品价格 | TuShare Pro | 日度 |
query_manufacturing_knowledge() |
专业知识查询 | RAG知识库 | 实时 |
📈 分析输出
### 制造业市场环境分析报告
**🎯 核心结论**: [一句话总结环境状况]
**📊 关键指标分析**:
- PMI指数: XX.X (环比+/-X.X)，解读：[制造业景气度评估]
- PPI指数: XX.X% (同比+/-X.X%)，解读：[成本压力分析]
- 原材料价格: [关键原材料价格变化及影响]
**🎯 对补货的影响**:
- 宏观环境: [有利/不利/中性]
- 成本压力: [上升/下降/稳定]
- 政策影响: [积极/消极/中性]
**💡 决策建议**: [基于宏观环境的补货建议]
📈 趋势预测分析师 (Trend Prediction Analyst)
🎯 角色定位
专业身份: 需求趋势预测专家
核心使命: 基于外部事件预测未来需求变化，为补货时机提供指导
📋 专业职责
专业领域:
- 天气预报对需求的影响
- 节假日安排对销售的影响
- 季节性需求变化预测
- 突发事件影响评估
核心能力:
- 时间序列分析
- 季节性调整
- 事件驱动分析
- 需求波动预测
🔧 工具配置
| 工具名称 | 用途 | 数据来源 | 更新频率 |
|---|---|---|---|
get_manufacturing_weather_data() |
天气预报数据 | 聚合数据API | 日度 |
get_manufacturing_holiday_data() |
节假日安排 | 聚合数据API | 年度 |
query_manufacturing_knowledge() |
预测方法论 | RAG知识库 | 实时 |
📈 分析输出
### 制造业趋势预测分析报告
**🎯 需求趋势预测**: [上升/下降/稳定] (置信度: XX%)
**🌤️ 天气影响分析**:
- 未来一周天气: [天气概况]
- 对需求影响: [正面/负面/中性]
- 重点关注: [极端天气预警]
**🎊 节假日影响**:
- 即将到来的节假日: [节假日名称及时间]
- 历史影响分析: [需求变化幅度]
- 调整建议: [补货时机建议]
**📊 季节性分析**:
- 当前季节特征: [淡季/旺季/平季]
- 同期对比: [与去年同期对比]
- 趋势判断: [需求走势预测]
**💡 时机建议**: [最佳补货时机窗口]
📰 新闻资讯分析师 (Industry News Analyst)
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.
- 3d ago First seen · 331 lines · 0 tokens per session scan A 7cfe9b2450eb
analysts is an agent published in the GitHub repository YUHAO-corn/manufacturing-agents (171 stars, last pushed 5mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,871 tokens. 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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