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 jwangkun/claude-for-financial-services-cn --skill china-compsgit clone --depth 1 https://github.com/jwangkun/claude-for-financial-services-cnWrote 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/jwangkun/claude-for-financial-services-cn/china-comps)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-comps"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-comps/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/jwangkun/claude-for-financial-services-cn/china-comps"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-comps.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.01278 |
| Opus 5 | $0.00023 | $0.00639 |
| Sonnet 5 | $0.00009 | $0.00256 |
| Haiku 4.5 | $0.00005 | $0.00128 |
Grade A, and why
china-comps 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-comps
Data Sources (Multi-Tier)
Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：
wind-mcp（需WIND_API_KEY密钥，以ak_开头） - 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
Tier 1 — 同花顺 iFind（付费精确数据）
Use ifind MCP when a valid IFIND_AUTH_TOKEN is configured.
ifind_get_stock_info(ticker) → Company profile, multiples
ifind_get_stock_financials(ticker, ...) → Revenue, net income, margins
ifind_search_stocks(query) → Industry-wide stock screening
Tier 2 — AkShare（免费开源数据）
Fallback when iFind is unavailable.
get_quote(ticker) → Price, PE, PB, market cap
get_financials(ticker, "income", "annual") → Revenue, net income
get_financials(ticker, "balance", "annual") → Book value
get_stock_info(ticker) → Business description
数据源模式开关: 当环境变量
IFIND_DATA_SOURCE_MODE=ifind-only时，仅使用 iFind 数据源，禁用 AkShare 降级。
name: china-comps description: Comparable company analysis for A-share stocks. Uses the AkShare MCP to build peer groups, pull financial data, compute valuation multiples (PE, PB, PS), and assess relative value within a Chinese industry sector. Use instead of the original comps-analysis skill when dealing with Chinese-listed equities.
china-comps
Workflow
1. Define the peer group
Start with the target stock, then use get_industry_stocks(industry="<行业名称>") to get the full peer set for that industry. Common industry names used in the 东方财富 classification:
| Industry | Example Leaders |
|---|---|
| 白酒 | {{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}} |
| 半导体 | {{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}} |
| 电池 | {{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}} |
| 银行 | {{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}} |
| 证券 | {{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}} |
| 保险 | {{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}} |
| 医疗器械 | {{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}} |
| 光伏设备 | {{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}} |
| 汽车整车 | {{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}} |
| 软件开发 | {{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}} |
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 · 105 lines · 45 tokens per session scan A 73b720911ca5
china-comps is a skill published in the GitHub repository jwangkun/claude-for-financial-services-cn (743 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 45 tokens to every session and 1,278 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 2026-08-30.
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