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-comps-analysisgit 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-analysis)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-comps-analysis"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-comps-analysis/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-analysis"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-comps-analysis.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 | $0.00078 | $0.02069 |
| Opus 5 | $0.00039 | $0.01035 |
| Sonnet 5 | $0.00016 | $0.00414 |
| Haiku 4.5 | $0.00008 | $0.00207 |
Grade A, and why
china-comps-analysis 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 — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-comps-analysis
Purpose
Build A股可比公司分析 — peer group multiples comparison adapted for the Chinese equity market.
Data Sources
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）/ AkShare MCP（Tier-2 免费备选）
get_quote(ticker) → Current multiples (PE, PB, PS)
get_financials(ticker, "income") → Revenue, net income for calculations
get_financials(ticker, "balance") → Book value, debt
get_industry_stocks(industry="白酒") → Industry peers
Secondary Sources
- 东方财富 — industry classifications
- 巨潮 — financial statements
- Wind / Choice — comprehensive multiples
- 券商研报 — peer analysis
Workflow
Step 1: Select Peer Group
Peer selection criteria:
| Criterion | China Context |
|---|---|
| Industry | Same 东方财富 industry category |
| Market cap | ±3x of subject company |
| Revenue | ±2x of subject company |
| Growth | Similar revenue growth profile |
| Profitability | Comparable margins |
| Business model | Same/related business model |
| Geography | China-focused (A-share only) |
| Listing status | All A-share (include 北交所 if relevant) |
Typical peer count: 8-15 companies
Step 2: Collect Financial Data
Data to collect for each peer:
| Data Item | Source | Notes |
|---|---|---|
| Current price | AkShare | |
| Market cap | Calculated | Shares outstanding × price |
| Revenue (LTM) | AkShare financials | |
| Net income (LTM) | AkShare financials | |
| EPS ( diluted ) | AkShare | |
| Book value | Balance sheet | |
| EBITDA | Calculate | Net income + tax + interest + D&A |
| EV | Calculate | Market cap + net debt |
Step 3: Calculate Trading Multiples
Standard multiples:
| Multiple | Formula | Typical Range (A-share) |
|---|---|---|
| P/E (动态) | Price / 预测EPS | 10-50x |
| P/E (TTM) | Price / TTM EPS | 10-50x |
| P/E (静态) | Price / 上年EPS | 10-50x |
| PB | Price / 每股净资产 | 1-10x |
| PS | EV / Revenue | 1-10x |
| EV/EBITDA | EV / EBITDA | 5-20x |
| PEG | P/E / Growth | 0.5-2.0 |
| 股息率 | Dividend / Price | 0-5% |
| ROE | Net income / Equity | 5-30% |
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 · 207 lines · 78 tokens per session scan A 5c50a7b1e3c4
china-comps-analysis 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 78 tokens to every session and 2,069 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 2026-08-30.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
trading-risk-gate
Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.