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 cyijun/china-financial-services --skill a-share-financial-forensicsgit clone --depth 1 https://github.com/cyijun/china-financial-servicesWrote 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/cyijun/china-financial-services/a-share-financial-forensics)<a href="https://agentmods.dev/skills/cyijun/china-financial-services/a-share-financial-forensics"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/a-share-financial-forensics/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/cyijun/china-financial-services/a-share-financial-forensics"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/a-share-financial-forensics.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 | $0.00074 | $0.00666 |
| Opus 5.5 | $0.00030 | $0.00266 |
| Sonnet 5.5 | $0.00015 | $0.00133 |
| Haiku 4.5 | $0.00007 | $0.00067 |
Grade A, and why
a-share-financial-forensics 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.
What it actually says
A股财务与披露取证
工作流
- 先调用
a-share-research-evidence锁定法定报告、修订版本、审计意见和实际披露时刻。 - 使用
china-market-data获取income、balance_sheet、cash_flow和financial_indicator；6000积分全市场截面优先VIP接口。严格PIT时禁止降级到无公告日期的AKShare报表。 - 统一合并范围、币种和单季/累计口径，完成三表勾稽及现金变动核对。
- 分析三至五年累计经营现金流与净利润差异，并定位应收、存货、应付、合同资产/负债、票据、税项和非现金项目。
- 检查收入确认、总额/净额、资本化、折旧摊销、减值、补助、投资收益、非经常损益和调整后指标。
- 扫描KPI定义、分部、成本分类、会计政策和历史指标的变化或消失。对关键口径逐字摘录变更前/后定义，保存页码或段落定位；用本期原始数据按旧口径重算，并量化
新口径披露值 - 旧口径重算值。若公司未提供桥接且差异重要，至少标为concern，不可只写“口径调整”。 - 检查关联交易、资金占用、担保、质押、审计师变化、内控意见、商誉和并购承诺。
- 对每项异常并列记录正常解释、风险解释、反证和下一期可验证指标。
硬约束
- 行业阈值只是调查起点；必须同历史、同业和商业模式比较。
- 不从红旗数量推导舞弊概率，不把激进会计直接写成欺诈。
- 累计季度转单季必须保留公式和原始值。
- 无法重算旧口径时标记“可比性中断”。
- 不给买卖、做空或仓位指令。
输出契约
逐项使用clean、watch、concern、material concern或insufficient evidence，不计算综合分。随后给三表勾稽、盈利质量、披露变化、治理事项、解释、反证和监控点。
需要检查清单时读取references/a-share-accounting-checks.md。
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 32 lines · 74 tokens per session scan A 55459ce1c278
a-share-financial-forensics is a skill published in the GitHub repository cyijun/china-financial-services (21 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 74 tokens to every session and 666 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.
Other skills, from other repositories
a-share-data
A data lookup skill for mainland Chinese A-shares, meaning stocks traded on China's Shanghai and Shenzhen exchanges. It covers prices, history, indicators, company events, sectors, concepts, market news, and macroeconomic data.
a-share-paper-trading
A simulated stock-trading and backtesting system for mainland Chinese A-shares. Simulated trading uses pretend orders and money, while backtesting evaluates a strategy against past data.
a-share-strategy-allmarket-multi-swing-defensive
A stock-market decision aid for liquid stocks across China's full market. It uses a trend-pullback strategy to produce possible buy and sell signals and can fetch current price snapshots, but it does not backtest or place orders.
macd-second-golden-cross
A trading-analysis guide for Chinese A-share stocks using MACD, an indicator built from moving averages to show momentum. It focuses on a bullish divergence followed by a second crossover below the zero line.
tuige-shortline-trading
A Chinese-language rulebook for short-term stock trading in the Chinese A-share market. It organizes market conditions, stock selection, chart setups, exit rules, and position discipline.
通达信TQ
A connection between Python strategy files and TdxQuant, TongdaXin's platform for securities data analysis and quantitative investment research. It uses the platform's tqcenter.py module to interact with the TongdaXin client.