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 china-comps-analysisgit 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/china-comps-analysis)<a href="https://agentmods.dev/skills/cyijun/china-financial-services/china-comps-analysis"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/china-comps-analysis/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/china-comps-analysis"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/china-comps-analysis.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 | $0.00075 | $0.00679 |
| Opus 5 | $0.00037 | $0.00340 |
| Sonnet 5 | $0.00015 | $0.00136 |
| Haiku 4.5 | $0.00007 | $0.00068 |
Grade A, and why
china-comps-analysis 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 11d 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股可比公司分析
工作流
- 冻结
as_of、股价日、财务版本、预测期间、币种和复权口径；调用a-share-research-evidence。 - 先按业务模式、收入/利润来源、客户、价值链位置、地区和监管选同行，再比较规模、增长、利润率、ROIC、资本结构与周期阶段。
- 对每家公司记录纳入/排除理由。概念板块、同一申万行业或市值接近都不能单独证明可比。
- 用
china-market-data获取同日价格、市值、三表和指标；一致预期若来自外部供应商，记录供应商、统计量、样本数、快照时间、离散度和FY映射。 - 统一EV桥、净债务、少数股东、租赁、联营投资、稀释股本、TTM/NTM和会计准则。
- 只在分母经济含义有效时计算倍数：亏损或接近零利润的PE保持
N/M，不能用0或IFERROR(...,0)代替。 - 输出原始分布、中位数和四分位数；异常值先解释业务/口径原因，不因“看起来离群”自动截尾。
- 对选样、期间、净债务和盈利假设做敏感性，并调用
a-share-valuation-triangulation解释与DCF等方法的差异。
指标规则
- EV/EBITDA适合资本强度、折旧或杠杆差异较大的非金融企业，但不能忽略维持性资本开支。
- PE受资本结构、税率和一次性损益影响；同时展示扣非与法定口径。
- PB需结合可持续ROE和资产质量；金融机构优先PB-ROE/剩余收益框架。
- ROE优先用平均权益；增长、利润率和收益率注明期间、单位和是否年化。
工作簿与检查
至少包含Sources、Universe、Raw Data、Adjustments、Comps、Sensitivity、Checks。每个输入有来源和日期，每个计算字段由公式产生。调用xlsx-author生成并由audit-xls审计；未实际重算时不得声称公式通过。
输出
输出可比范围、排除项、口径调整、倍数分布、不可比项、敏感性、与其他方法的冲突及数据缺口。只提供分析区间，不给评级、交易或仓位动作。
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.
- 11d ago First seen · 33 lines · 75 tokens per session scan A 5e713cb9157f
china-comps-analysis is a skill published in the GitHub repository cyijun/china-financial-services (19 stars, last pushed 17d ago), licensed Apache-2.0. It adds 75 tokens to every session and 679 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.
Other skills, from other repositories
hithink-finance
A routing guide for accessing Chinese A-share financial data, including prices, company reports, valuations, funds, indices, sectors, and local data storage.
hithink-finance-fund
A command-line guide for querying fund information, including profiles, managers, holdings, prices, returns, financial data, news, and exchange-traded fund snapshots. A command-line tool is a program controlled by typed terminal commands.
hithink-finance-data
A local data-management skill for the HiThink Finance command-line tool and its DuckDB database. DuckDB is a database stored in a local file.
hithink-finance-market
A command-line tool entry for retrieving ordinary Chinese A-share market data, including snapshots, historical price bars, trading calendars, adjustment factors, and company actions.
hithink-finance-special-data
A command-line tool entry for retrieving special Chinese market lists and event data, such as limit-up stocks, limit-down stocks, unusual moves, hot stocks, and Dragon-Tiger records.
hithink-finance-financials
A command-line tool entry for querying Chinese A-share income statements, balance sheets, cash-flow statements, and financial indicators for selected reporting periods.