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 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/comps-analysis)<a href="https://agentmods.dev/skills/cyijun/china-financial-services/comps-analysis"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/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/comps-analysis"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/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 | $0.00068 | $0.00355 |
| Opus 5.5 | $0.00027 | $0.00142 |
| Sonnet 5.5 | $0.00014 | $0.00071 |
| Haiku 4.5 | $0.00007 | $0.00036 |
Grade A, and why
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 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
行业可比公司分析
- 冻结
as_of、股票池、财务版本、预测期间、币种和复权口径。 - 按真实业务暴露、价值链位置、客户、地区、规模、成长、利润率、资本结构和周期阶段选择同行，并记录纳入/排除理由。
- 用
china-market-data取得同日市值、估值和财务数据；当前行业成员不能回填历史。 - 统一EV桥、净债务、少数股东、租赁、稀释股本、TTM/NTM和法定/扣非口径。
- 亏损、负净资产或近零分母保持
N/M；不使用0填充错误或缺失。 - 报告原始分布、中位数、四分位、覆盖率和不可比项；异常先解释，不自动删除。
- 对选样、期间和会计调整做敏感性；需要完整估值时调用
a-share-valuation-triangulation。
输出原始数据来源、样本矩阵、口径调整、倍数/经营指标分布、异常解释、敏感性和缺口。只生成研究比较，不给交易或仓位动作。
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.
- 1mo ago First seen · 17 lines · 68 tokens per session scan A d168efc49c42
comps-analysis is a skill published in the GitHub repository cyijun/china-financial-services (21 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 68 tokens to every session and 355 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.