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-client-reportgit 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-client-report)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-client-report"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-client-report/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-client-report"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-client-report.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 | $0.00078 | $0.01451 |
| Opus 5 | $0.00039 | $0.00726 |
| Sonnet 5 | $0.00016 | $0.00290 |
| Haiku 4.5 | $0.00008 | $0.00145 |
Grade A, and why
china-client-report 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 8d 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.
This is a copy
89% identical to bilibili-helper — 247 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-client-report
Purpose
Create professional A股财富管理客户报告 — performance reports for Chinese wealth management clients.
Data Sources
Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
get_index_data("000001") → 上证指数 benchmark
get_index_data("399006") → 创业板指 benchmark
get_index_data("000300") → 沪深300 benchmark
get_quote(ticker) → Individual security performance
get_fund_data(fund_code) → Fund performance
Secondary Sources
- 基金公司 — fund data
- Wind / Choice — comprehensive market data
- 晨星中国 — fund ratings
Workflow
Step 1: Portfolio Snapshot
Client portfolio summary:
| Metric | Value | Change |
|---|---|---|
| Total AUM (总资产) | ¥XX.X万 | ±X% |
| Market value | ¥XX.X万 | ±X% |
| Cash position | ¥XX.X万 | |
| YTD return | X.XX% | |
| Since inception | X.XX% (annualized) | |
| Benchmark (沪深300) | X.XX% |
Step 2: Performance Attribution
Performance by asset class:
| Asset Class | Allocation | Market Value | Period Return | Contribution |
|---|---|---|---|---|
| A股股票 | XX% | ¥XX | X.XX% | X.XX% |
| 基金 | XX% | ¥XX | X.XX% | X.XX% |
| 债券 | XX% | ¥XX | X.XX% | X.XX% |
| 现金/理财 | XX% | ¥XX | X.XX% | X.XX% |
| Total | 100% | X.XX% |
Performance by sector:
| Sector | Allocation | Return | Contribution |
|---|---|---|---|
| 消费 | XX% | X.XX% | X.XX% |
| 科技 | XX% | X.XX% | X.XX% |
| 医药 | XX% | X.XX% | X.XX% |
| 金融 | XX% | X.XX% | X.XX% |
| 新能源 | XX% | X.XX% | X.XX% |
| 其他 | XX% | X.XX% | X.XX% |
Step 3: Holdings Review
Top positions:
| Security | Ticker | Allocation | Market Value | Period Return | vs Benchmark |
|---|---|---|---|---|---|
Positions with significant changes:
- New positions added
- Positions sold
- Significant gainers (>20%)
- Significant losers (>15%)
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.
- 8d ago First seen · 206 lines · 78 tokens per session scan A 5243d9f84631
china-client-report 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 78 tokens to every session and 1,451 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to bilibili-helper, differing in 247 lines, and is treated as a copy.
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