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-gl-recongit 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-gl-recon)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-gl-recon"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-gl-recon/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-gl-recon"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-gl-recon.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 | $0.00083 | $0.01609 |
| Opus 5 | $0.00042 | $0.00805 |
| Sonnet 5 | $0.00017 | $0.00322 |
| Haiku 4.5 | $0.00008 | $0.00161 |
Grade A, and why
china-gl-recon 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-gl-recon
Purpose
Perform 基金总账核对 — comprehensive general ledger reconciliation for fund accounting.
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_financials(ticker, "balance") → Portfolio company BS
get_fund_data(fund_code) → Fund holdings and NAV
get_quote(ticker) → Security prices
Secondary Sources
- 基金公司 — fund accounting system
- 托管行 — custody records
- Wind / Choice — market data
Workflow
Step 1: Identify GL Accounts
Fund accounting COA:
| Category | Accounts | Purpose |
|---|---|---|
| 资产 (Assets) | Securities, cash, receivables | Investments |
| 负债 (Liabilities) | Payables, accruals | Amounts owed |
| 所有者权益 | NAV | Fund value |
| 收入 (Revenue) | Dividends, interest, gains | Investment income |
| 费用 (Expenses) | Management fee, custodian fee | Fund costs |
| 已实现损益 | Realized gains/losses | Trading P&L |
| 未实现损益 | Unrealized appreciation | Mark-to-market |
Step 2: Securities Reconciliation
Securities holdings recon:
| Security | Ticker | Fund Records | Custodian | Difference | Status |
|---|---|---|---|---|---|
| Total |
Reconciliation items:
- 在途交易 (Trades in transit)
- 配股/增发 (Rights issues)
- 分红到账 (Dividend settlements)
- 利息到账 (Interest settlements)
Step 3: Cash Reconciliation
Cash recon:
| Account | GL Balance | Bank Statement | Custodian | Difference |
|---|---|---|---|---|
| 清算备付金 | ||||
| 结算备付金 | ||||
| 银行存款 | ||||
| Total |
Step 4: Income Reconciliation
Income reconciliation:
| Type | Fund Records | Custodian | Source Docs | Difference |
|---|---|---|---|---|
| 现金股息 | ||||
| 股票股息 | ||||
| 债券利息 | ||||
| 回购利息 | ||||
| 基金分红 | ||||
| 已实现利得 | ||||
| Total |
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 · 201 lines · 83 tokens per session scan A 5fd47cd2b3ac
china-gl-recon 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 83 tokens to every session and 1,609 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.
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