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 Haochenhust/ch-skills --skill industry-chain-mappergit clone --depth 1 https://github.com/Haochenhust/ch-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/haochenhust/ch-skills/industry-chain-mapper)<a href="https://agentmods.dev/skills/haochenhust/ch-skills/industry-chain-mapper"><img src="https://agentmods.dev/badge/skills/haochenhust/ch-skills/industry-chain-mapper/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/haochenhust/ch-skills/industry-chain-mapper"><img src="https://agentmods.dev/badge/skills/haochenhust/ch-skills/industry-chain-mapper.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 | $0.00091 | $0.00967 |
| Opus 5 | $0.00046 | $0.00483 |
| Sonnet 5 | $0.00018 | $0.00193 |
| Haiku 4.5 | $0.00009 | $0.00097 |
Grade A, and why
industry-chain-mapper 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 10d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Industry Chain Mapper
Build structured industry chain maps for investment research. Maps are persistent files that get updated over time, not rebuilt from scratch. (For the step-by-step research process/methodology, see the industry-chain-research skill; this skill focuses on producing and maintaining the map artifact.)
When to Use
- Starting research on a new industry chain
- Updating an existing chain map with new information
- Comparing companies within a chain to find the best investment target
Workflow
Step 1: Check Existing Maps
ls industry-chain-*.md
If a map already exists for this chain, READ it first and UPDATE rather than rebuild.
Step 2: Research the Chain
For a new chain, gather information via:
- WebSearch: "{industry} 产业链 上游 中游 下游 2026"
- WebSearch: "{industry} 产业链 龙头公司 市占率"
- WebSearch: "{industry} 产业链图谱 研报"
- Articles/reports the user has provided
- Financials for key companies (via the
financial-data-fetcher/tushare-dataskills)
Step 3: Build/Update the Map
Save to industry-chain-{name}.md in your research notes directory.
Map Template
# {Industry Name} 产业链图谱
> 创建日期:{date}
> 最后更新:{date}
> 置信度:{X}%
## 产业链概览
{1-2 sentence description of the industry chain and why it matters for investment}
## 产业链结构
### 上游 — {upstream category name}
| 环节 | 代表公司 | 市占率/地位 | A股标的 | 投资弹性 |
|------|----------|-------------|---------|----------|
| {sub-segment} | {companies} | {share/position} | {stock code} | {high/medium/low} |
### 中游 — {midstream category name}
| 环节 | 代表公司 | 市占率/地位 | A股标的 | 投资弹性 |
|------|----------|-------------|---------|----------|
| {sub-segment} | {companies} | {share/position} | {stock code} | {high/medium/low} |
### 下游 — {downstream category name}
| 环节 | 代表公司 | 市占率/地位 | A股标的 | 投资弹性 |
|------|----------|-------------|---------|----------|
| {sub-segment} | {companies} | {share/position} | {stock code} | {high/medium/low} |
## 弹性排序
按投资弹性从大到小排列(结合市占率变化潜力、估值空间、催化剂):
1. **{company}({code})** — {why highest elasticity}
2. **{company}({code})** — {reason}
3. ...
## 关键变量
影响这条产业链投资价值的核心变量:
1. {variable 1}: {current status} → {what to watch}
2. {variable 2}: {current status} → {what to watch}
## 产业链传导逻辑
{How does a change at one level propagate through the chain?}
{Which segment benefits most/least from a demand increase?}
## 更新日志
- {date}: {what was updated and why}
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.
- 10d ago First seen · 101 lines · 91 tokens per session scan A 063f097410ab
industry-chain-mapper is a skill published in the GitHub repository Haochenhust/ch-skills (9 stars, last pushed 2mo ago), licensed MIT. It adds 91 tokens to every session and 967 once invoked, about $0.0005 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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