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-earnings-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-earnings-analysis)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-earnings-analysis"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-earnings-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-earnings-analysis"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-earnings-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 | $0.00108 | $0.02301 |
| Opus 5 | $0.00054 | $0.01151 |
| Sonnet 5 | $0.00022 | $0.00460 |
| Haiku 4.5 | $0.00011 | $0.00230 |
Grade A, and why
china-earnings-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 13d 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-earnings-analysis
Purpose
Create professional A股季度/年度业绩点评报告, analyzing results for companies already under coverage. Follow Chinese sell-side research standards (中金、中信、华泰 format).
Data Sources
Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
get_financials(ticker, "income", "quarterly") → 利润表 (季度)
get_financials(ticker, "income", "annual") → 利润表 (年度)
get_financials(ticker, "balance", "quarterly") → 资产负债表
get_financials(ticker, "cashflow", "quarterly") → 现金流量表
get_quote(ticker) → 实时行情, PE/PB
get_historical_data(ticker) → 股价表现
# News (china-news MCP — separate server)
get_stock_news(ticker="{{TICKER}}") → 相关新闻
Secondary Sources
- 巨潮资讯 (cninfo.com.cn) — 正式财报 PDF (mandatory)
- 上证e互动 / 深交所互动易 — 投资者关系 Q&A
- 公司官网 — 业绩说明会 (earnings call) 材料
- 慧博投研 / 同花顺 iFinD — 一致预期数据
- Wind / Choice — institutional consensus (if available)
Key Financial Terms (Chinese → English)
| Chinese | English | Notes |
|---|---|---|
| 营业收入 | Revenue | Top-line, net of VAT |
| 营业成本 | COGS | Cost of goods sold |
| 毛利率 | Gross margin | 营业利润/营业收入 |
| 营业利润 | Operating profit | 核心经营利润 |
| 归母净利润 | Net income attributable to parent | Key metric for A-share coverage |
| 扣非净利润 | Net income (non-GAAP adj.) | Deducts one-time items |
| 净利润 | Net income | May include minority interest |
| 经营活动现金流 | Operating CF | 经营现金流 |
| 资本支出 | CapEx | 购建固定资产 |
| 有息负债 | Interest-bearing debt | 有息负债 |
| 每股收益 (EPS) | Earnings per share | 基本EPS / 稀释EPS |
Workflow
Step 1: Pull the Earnings Print
Data to collect:
- Current quarter / full year income statement (from 巨潮 PDF or iFind/AkShare)
- Balance sheet and cash flow statement
- Management commentary / 业绩说明会 transcript
- Company press release (投资者关系活动记录表)
Verify against:
- Previous quarter guidance (管理层指引)
- Consensus estimates (一致预期) if available
Step 2: Build the Variance Table
Required columns:
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.
- 13d ago First seen · 252 lines · 108 tokens per session scan A 4b11ebea7232
china-earnings-analysis is a skill published in the GitHub repository jwangkun/claude-for-financial-services-cn (744 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 108 tokens to every session and 2,301 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 2026-08-30.
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