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-valuation-triangulationgit 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-valuation-triangulation)<a href="https://agentmods.dev/skills/cyijun/china-financial-services/a-share-valuation-triangulation"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/a-share-valuation-triangulation/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-valuation-triangulation"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/a-share-valuation-triangulation.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 | $0.00084 | $0.00746 |
| Opus 5 | $0.00042 | $0.00373 |
| Sonnet 5 | $0.00017 | $0.00149 |
| Haiku 4.5 | $0.00008 | $0.00075 |
Grade A, and why
a-share-valuation-triangulation 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 12d 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股多方法估值
估值输出是假设下的价值范围和分歧来源，不是精确目标价。
工作流
- 先调用
a-share-research-evidence固定估值日、股价日、财务预测版本、股本、净债务、少数股东和非经营资产。 - 使用
china-market-data获取同日daily_basic、原始行情、三表和指标；历史区间必须满足PIT与同口径要求。 - 判断公司类型与盈利阶段后选择方法，并说明未采用方法的原因。
- 建立基础、压力和乐观运营情景，情景由收入、利润率、资本强度、营运资本和周期位置驱动，不赋主观概率。
- DCF明确FCFF/FCFE、WACC/Ke构成、预测期、终值、净债务桥和稀释股本，并展示敏感性。
- 可比公司先定义业务、规模、阶段、资本结构和会计口径可比性，再使用同一时点和期间的倍数。
- 周期品使用中周期盈利；金融机构优先PB-ROE、剩余收益或DDM；多业务公司考虑SOTP。
- 并列方法区间和隐含假设，解释差异，并反向求解当前价格隐含的增长、利润率、ROE或周期位置。
DCF执行要求
非金融企业使用china-dcf-model/scripts/dcf_model.py或同等可审计实现。至少显式输入估值日、来源清单、收入基数、逐年增长/EBIT率/税率/D&A/资本开支/营运资本、估值日WACC构成、终值增长、净债务桥和稀释股本；输出逐年FCFF、显式期现值、终值占比、企业价值到股权价值桥、每股价值及WACC×永续增长敏感性。敏感性必须自动包含基础WACC和基础增长率，中心格与基础估值一致。
任何工作簿或脚本的公式生成、公式重算和生产数据验证是三种状态；未调用重算引擎时写formula_recalculation_unverified。
硬约束
- 风险利率、风险溢价、Beta、债务成本和税率必须带日期与来源。
- 可比公司选择必须先于倍数结果。
- 不可比口径先调整或扩大区间，不假装精确。
- 不机械加权、不取无依据中间值，不给评级、买卖或仓位。
输出契约
输出估值基准、方法选择、假设、方法结果、敏感性、反向隐含预期、分歧、不可验证项和失效条件。
需要方法选择时读取references/method-selection.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.
- 12d ago First seen · 39 lines · 84 tokens per session scan A 9dda2dbe435c
a-share-valuation-triangulation is a skill published in the GitHub repository cyijun/china-financial-services (19 stars, last pushed 19d ago), licensed Apache-2.0. It adds 84 tokens to every session and 746 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-futures
A command-line data source for public futures-market information, including contracts, positions, warehouse receipts, basis, trading schedules, and price charts. Futures are agreements to buy or sell an asset at a set future date.