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-reviewgit 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-review)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-client-review"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-client-review/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-review"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-client-review.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 | $0.00080 | $0.01525 |
| Opus 5 | $0.00040 | $0.00763 |
| Sonnet 5 | $0.00016 | $0.00305 |
| Haiku 4.5 | $0.00008 | $0.00153 |
Grade A, and why
china-client-review 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 9d 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-client-review
Purpose
Prepare comprehensive A股财富管理客户会议材料 — performance summaries, talking points, and relationship context for client meetings.
Data Sources
Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
get_index_data("000001") → 上证 benchmark
get_index_data("399006") → 创业板 benchmark
get_index_data("000300") → 沪深300 benchmark
Secondary Sources
- Portfolio management system (client holdings)
- Wind / Choice — market data
- Research team — market outlook
Workflow
Step 1: Client Profile Review
Client context:
| Attribute | Detail |
|---|---|
| 客户名称 | |
| 风险等级 | C1-C5 (conservative to aggressive) |
| 投资目标 | 保值 / 增值 / 养老 / 教育 / 传承 |
| 投资期限 | Short / Medium / Long term |
| 流动性需求 | High / Medium / Low |
| 特殊需求 | 税务优化, 慈善, 家族信托 |
Step 2: Portfolio Performance Summary
Performance dashboard:
| Metric | YTD | 1Y | 3Y | Since Inception |
|---|---|---|---|---|
| Portfolio return | X.XX% | X.XX% | X.XX% | X.XX% |
| Benchmark (沪深300) | X.XX% | X.XX% | X.XX% | X.XX% |
| Active return | X.XX% | X.XX% | X.XX% | X.XX% |
| Best period | ||||
| Worst period |
Performance attribution:
| Driver | Contribution |
|---|---|
| Security selection | X.XX% |
| Sector allocation | X.XX% |
| Cash/bond yield | X.XX% |
| Fees | X.XX% |
| Total | X.XX% |
Step 3: Holdings Review
Portfolio composition:
| Asset Class | Allocation | Benchmark | Active |
|---|---|---|---|
| A股权益 | XX% | XX% | ±X% |
| 基金 | XX% | XX% | ±X% |
| 债券/理财 | XX% | XX% | ±X% |
| 现金 | XX% | XX% | ±X% |
Top positions:
| Security | Ticker | Allocation | Period Return | Comment |
|---|---|---|---|---|
Changes since last meeting:
| Action | Security | Reason | Date |
|---|---|---|---|
| Buy | |||
| Sell | |||
| Rebalance |
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.
- 9d ago First seen · 219 lines · 80 tokens per session scan A 187101aa73ec
china-client-review 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 80 tokens to every session and 1,525 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 2026-09-03.
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