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-audit-xlsgit 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-audit-xls)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-audit-xls"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-audit-xls/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-audit-xls"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-audit-xls.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 | $0.00081 | $0.01850 |
| Opus 5.5 | $0.00032 | $0.00740 |
| Sonnet 5.5 | $0.00016 | $0.00370 |
| Haiku 4.5 | $0.00008 | $0.00185 |
Grade A, and why
china-audit-xls 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 1mo 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 — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-audit-xls
Purpose
Audit A股财务模型 — comprehensive quality checks for Chinese equity financial models.
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, "income") → Actuals for cross-check
get_financials(ticker, "balance") → BS for cross-check
get_financials(ticker, "cashflow") → CF for cross-check
get_quote(ticker) → Market data
Secondary Sources
- 巨潮 — source financials
- 审计报告 — reference data
Workflow
Step 1: Structural Audit
Model structure checklist:
| Area | Check | Pass Criteria |
|---|---|---|
| Cover page | Company, date, version | Present and accurate |
| Assumptions | All key inputs centralized | No hardcoded values in calc |
| Historicals | All periods populated | 3-5 years |
| Forecast | Explicit forecast period | 3-5 years |
| Valuation | DCF, comps, football field | All methods present |
| Checks | Sum, balance, cross-ref | All checks green |
| Documentation | Methodology notes | Clear and complete |
Step 2: Formula Audit
Formula checks:
| Check | Description | Pass Criteria |
|---|---|---|
| No hardcodes | All inputs in assumptions | ✓ |
| Consistent formulas | Same formula across periods | ✓ |
| No circularity (unless intended) | Circular refs flagged | ✓ |
| Error handling | IFERROR used where needed | ✓ |
| Named ranges | Key cells named | ✓ |
| Sheet references | Cross-sheet refs work | ✓ |
| Broken links | No external links or all work | ✓ |
Common hardcodes to find:
- Growth rates embedded in formulas
- Multiples typed into cells
- Shares outstanding hardcoded
- Tax rates not in assumptions
Step 3: Historicals Cross-Check
Cross-check against source data:
| Line Item | Model | iFind / AkShare / 巨潮 | Difference | Explanation |
|---|---|---|---|---|
| 营业收入 | ||||
| 营业成本 | ||||
| 归母净利润 | ||||
| 总资产 | ||||
| 净资产 | ||||
| 经营现金流 |
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.
- 1mo ago First seen · 232 lines · 81 tokens per session scan A 839833efe0c3
china-audit-xls is a skill published in the GitHub repository jwangkun/claude-for-financial-services-cn (844 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 81 tokens to every session and 1,850 once invoked, about $0.0003 per session on Opus 5.5. 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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