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 skills/travisun/opptrix/industry-chainnpx skills add Travisun/Opptrix --skill industry-chaingit clone --depth 1 https://github.com/Travisun/OpptrixWrote 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/travisun/opptrix/industry-chain)<a href="https://agentmods.dev/skills/travisun/opptrix/industry-chain"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/industry-chain.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 5.1 | $0.00079 | $0.00892 |
| Opus 5 | $0.00039 | $0.00446 |
| Sonnet 5 | $0.00016 | $0.00178 |
| Haiku 4.5 | $0.00008 | $0.00089 |
Grade A, and why
industry-chain 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 2d 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
产业链透视
何时使用
用户要对某行业/主题做产业链上下游梳理（不是单股深度分析，也不是单纯板块成分列表）。默认交付可预览网页报告。
分析架构（投研方法）
- 问题/假设：该主题的价值如何在上中下游分配？哪些环节是瓶颈/国产化关键点？
- 证据清单：内置知识库节点、板块目录与成分、代表公司代码（工具返回）
- 多维交叉验证：知识库节点 vs 板块成分是否可映射；「卡脖子」标签须有知识库字段支撑
- 结论与不确定：结构叙事 + 关键节点；知识库未覆盖则停止硬套
- 风险与缺口：知识库未收录、成分接口失败
- 事实与推断必须分开：知识库字段与工具返回公司为事实；竞争格局判断为推断
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 知识库 | get_agent_skill_file(skill_name="industry-chain", path="references/chain-knowledge.json") |
未命中则说明并停止 |
| 行业匹配 | key / concepts / keywords | 勿套用相邻行业 |
| 节点属性 | nodes：position / desc / bottleneck / domestic_rate | 缺字段则留空 |
| 代表公司 | get_sector_list → get_sector_constituents 或 search_instruments |
不编造公司 |
| 交付 | list_web_vendor → create_web |
用户只要口头要点时可跳过 |
步骤
- 确认行业/主题关键词。
- 读取知识库并匹配；未命中说明并停止。
- 梳理节点；按需补全代表公司（禁止编造）。
- 交付网页（默认）：
list_web_vendor→create_web（上中下游章节 + 公司表；可用简单示意图）。已有则read_web/update_web。 - 备选：用户只要「结构图/脑图」用
create_mindmap；点名画布用create_canvas。
网页报告建议目录
- 行业与一句话概述
- 上中下游结构说明
- 关键节点表（瓶颈、国产化等可得字段）
- 代表公司列表（代码来源注明）
- 观察焦点（推断标注）
- 数据说明：知识库覆盖范围与缺口
禁止
- 编造公司或节点数据
- 知识库未覆盖时强行套相邻条目
- 禁止无交付就结束（默认须有 web 产物，除非用户明确只要口头要点）
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.
- 2d ago First seen · 66 lines · 79 tokens per session scan A fe29e2e235c0
industry-chain is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed today), licensed Apache-2.0. It adds 79 tokens to every session and 892 once invoked, about $0.0004 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 2026-09-03.
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caijing-fundamental
财经·基本面——产出一份分析师级、全面、详细、前瞻、论点驱动的深度研究文档。对 A股/港股上市公司：立核心论点与分歧视角（市场信什么、我哪里不同），在 2–3 个决定命运的胜负手上量化钻透（带估算区间与置信度），十四段全面框架每段有真分析与子项，配三情景前瞻盈利、估值矩阵、多投资哲学对撞、Pre-Mortem 反偏见与长期跟踪清单。默认产出研报级 docx；客户合规版按需。触发："全面分析XX""XX基本面怎么样""这公司质地如何"；命令 /caijing:fundamental。.
caijing-earnings
财经·财报——只回答"这季财报行不行/财报前该看什么"。财报发布后的事件驱动快评：最新期核验 gate、同比环比速览、超预期三层基准判定（一致预期优先于公司指引，公司指引优先于历史季节性）、扣非与现金流含金量验证、前瞻指标（合同负债/订单/资本开支）、对投资逻辑支柱的增强/削弱/中性影响；财报发布前可做 earnings preview（关键指标、三情景、催化清单）。默认产出专业版财报点评 docx；客户版财报速览卡+文案按需。触发："XX出财报了""点评XX年报/中报/季报""这季业绩怎么样""财报前看什么""业绩预览"；命令 /caijing:earnings。.
rodya-caijing-studio
财经内容台——面向个人投资者、研究人员与券商投顾/客户经理的 A股+港股专业研究和内容生产工具包。用于全面分析公司基本面、点评财报、判断估值位置、排查财务风险、梳理产业链、体检 A股/港股新股；所有使用者默认获得同一专业研究内核和研报级 docx，客户合规版按需生成，卡片/文案/PPT 按用户点名触发。稳定命令：/caijing:fundamental、/caijing:earnings、/caijing:valuation、/caijing:risk、/caijing:industry、/caijing:ipo-a、/caijing:ipo-hk。.
caijing-industry
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