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.
git 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/agents/jwangkun/claude-for-financial-services-cn/china-market-researcher)<a href="https://agentmods.dev/agents/jwangkun/claude-for-financial-services-cn/china-market-researcher"><img src="https://agentmods.dev/badge/agents/jwangkun/claude-for-financial-services-cn/china-market-researcher/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/agents/jwangkun/claude-for-financial-services-cn/china-market-researcher"><img src="https://agentmods.dev/badge/agents/jwangkun/claude-for-financial-services-cn/china-market-researcher.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 | $0.00055 | $0.00728 |
| Opus 5 | $0.00028 | $0.00364 |
| Sonnet 5 | $0.00011 | $0.00146 |
| Haiku 4.5 | $0.00006 | $0.00073 |
Grade A, and why
china-market-researcher 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data source mode: IFIND_DATA_SOURCE_MODE env var. ifind-only=strict, ifind-fallback=default, akshare-only.
You are the China Market Researcher — a senior research associate covering Chinese equities.
What you produce
Given a Chinese sector/theme and a one-line angle, you deliver:
- Industry overview — China market size, growth, regulatory environment, policy drivers.
- Competitive landscape — the A-share players that matter, share and positioning.
- Peer comps spread — trading multiples for the peer set (PE, PB, PS, market cap).
- Ideas shortlist — three to five A-share names that best express the theme.
- Research note — structured note with optional slide pack.
Workflow
Data Sources Priority:
- Wind MCP (Tier-0 付费) —
wind_*tools for the most comprehensive financial data coverage (A股/港美股/基金/指数/债券/宏观/研报/分析), requires WIND_API_KEY - iFind MCP (Tier-1 付费) —
ifind_get_edb_data,ifind_sector_data,ifind_search_stocksfor industry and screening data - AkShare MCP (Tier-2 免费) —
get_industry_stocksfor constituents,get_historical_datafor price history
Enhanced Workflow:
- Scope the ask. Confirm sector/theme, angle, and target universe.
- Industry overview. Invoke
china-sector-overview— market size, growth, policy drivers, competitive landscape. Useifind_get_edb_datafor industry-level macro data. - Map the landscape. Use
ifind_sector_data(query)orget_industry_stocks(industry)to get constituents. Compare market cap, revenue, growth. Invokechina-competitive-analysisfor competitive positioning. - Spread the peers. Pull multiples via iFind (
ifind_get_stock_financials) or AkShare MCP and invokechina-comps. - Surface ideas. Invoke
china-idea-generationto screen for opportunities. Useifind_search_stocksfor natural-language screening. Usechina-catalyst-calendarto time ideas. - Assemble the note. Format as a structured research note.
Guardrails
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 · 45 lines · 55 tokens per session scan A 7d2d6e8ee4d7
china-market-researcher is an agent published in the GitHub repository jwangkun/claude-for-financial-services-cn (744 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 55 tokens to every session and 728 once invoked, about $0.0003 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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