eastmoney-stock-valuation

eastmoney-stock-valuation is a skill for Claude Code, Codex from FTShare-Lab/FTShare-skill. It costs 93 tokens per session (1,745 once invoked), scanned A, original, MIT.

A lookup for daily valuation figures on Chinese A-share stocks, such as price-to-earnings, price-to-book, market value and closing price. It can return one stock, a date range, one trading day, or the whole market.

In plain words
What is it for?
Use it to retrieve current or historical valuation data for one A-share stock, all stocks on a trading day, or a selected date range. Results can be paged for large queries.
Why use it?
It removes the need to collect and combine valuation data from separate stock pages. You can compare companies or follow how one stock’s valuation changes over time.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to retrieve current or historical valuation data for one A-share stock, all stocks on a trading day, or a selected date range. Results can be paged for large queries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ftshare-lab/ftshare-skill/eastmoney-stock-valuation
Install

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.

Any agent
npx skills add FTShare-Lab/FTShare-skill --skill eastmoney-stock-valuation
Clone the repo
git clone --depth 1 https://github.com/FTShare-Lab/FTShare-skill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for eastmoney-stock-valuation

README.md
[![agentmods](https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/eastmoney-stock-valuation/github.svg)](https://agentmods.dev/skills/ftshare-lab/ftshare-skill/eastmoney-stock-valuation)
Your own site
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/eastmoney-stock-valuation"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/eastmoney-stock-valuation/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.

agentmods 80×15 button for eastmoney-stock-valuation

Your own site · 80×15
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/eastmoney-stock-valuation"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/eastmoney-stock-valuation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,745 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00093 $0.01745
Opus 5 $0.00046 $0.00873
Sonnet 5 $0.00019 $0.00349
Haiku 4.5 $0.00009 $0.00175

Measured 12d ago against content hash f2a36f156587, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

eastmoney-stock-valuation 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/handler.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

ftshare-market-data/sub-skills/eastmoney-stock-valuation/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

查询东财个股日估值

接口说明

项目 说明
接口名称 查询东财个股日估值
外部接口 /api/v1/market/data/eastmoney-stock-valuation
请求方式 GET
适用场景 查询全部 A 股个股的每日估值数据,包括市盈率(TTM/LYR)、市净率、市现率、市销率、PEG、总市值、流通市值、收盘价等;支持单票单日、单票历史区间及全市场查询

请求参数

参数名 类型 是否必填 描述 取值示例 备注
symbol string 股票代码 000001 6位数字代码,不传返回全部股票
trade_date string 交易日 2026-06-08 格式 YYYY-MM-DD;与 start_date/end_date 互斥
start_date string 区间起始日 2026-06-01 格式 YYYY-MM-DD;与 end_date 同时提供
end_date string 区间结束日 2026-06-09 格式 YYYY-MM-DD;与 start_date 同时提供
--page int 页码 1 从 1 开始,默认 1
--page_size int 每页条数 50 默认 50,最大 500

查询模式

模式 参数 说明
全量查询 返回全部股票全部日期(⚠️ 数据量极大,建议配合分页)
单票全部历史 --symbol 返回指定股票全部历史估值
单日全市场 --trade_date 返回指定交易日全部股票估值
单票单日 --symbol --trade_date 返回指定股票指定交易日估值
单票历史区间 --symbol --start_date --end_date 返回指定股票日期区间估值走势

执行方式

通过根目录的 run.py 调用:

python <RUN_PY> eastmoney-stock-valuation --symbol 000001 --page 1 --page_size 10
python <RUN_PY> eastmoney-stock-valuation --symbol 000001 --start_date 2026-06-01 --end_date 2026-06-09
python <RUN_PY> eastmoney-stock-valuation --start_date 2026-06-01 --end_date 2026-06-09 --page 1 --page_size 50
python <RUN_PY> eastmoney-stock-valuation --symbol 000001 --trade_date 2026-06-08
python <RUN_PY> eastmoney-stock-valuation --start_date 2026-06-01 --end_date 2026-06-09 --all

<RUN_PY> 为主 SKILL.md 同级的 run.py 绝对路径,参见主 SKILL.md 的「调用方式」说明。

响应结构

顶层为分页包装对象:

字段名 类型 描述
code int 业务状态码,成功为 0
message string 业务消息
data object/null 分页数据体;无数据时可能为 null
data.pageNum int 当前页码
data.pageSize int 每页条数
data.total int 总记录数
data.pages int 总页数
data.records array 当前页记录列表

data.records 中每项字段:

Read the full file on GitHub · 131 lines

Files

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.

Changes

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.

  1. 12d ago First seen · 131 lines · 93 tokens per session scan A f2a36f156587

Subscribe to this mod's changes

eastmoney-stock-valuation is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (64 stars, last pushed today), licensed MIT. It adds 93 tokens to every session and 1,745 once invoked, about $0.0005 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.

Related

Other skills, from other repositories

defeatbeta-earnings-analysis

Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when…

defeat-beta/defeatbeta-api · 112 tokens

sprr

Single PR reviewer for awesome-quant. Use when the user asks to review, validate, comment on, label, close, or merge one specific pull request that adds README.md entries. Triggers include "sprr", "review PR", "check PR", and "validate contribution".

wilsonfreitas/awesome-quant · 60 tokens

bprr

Bulk PR reviewer for awesome-quant. Use when the user asks to review all open PRs, review unreviewed PRs, bulk review, or mentions "bprr". Reviews open PRs lacking the reviewed label and presents a summary before any merge/comment/label action.

wilsonfreitas/awesome-quant · 61 tokens

update-pypi-dates

Refresh tracked PyPI last-updated dates in awesome-quant README.md. Use when the user asks to update PyPI dates, refresh PyPI metadata, or run update-pypi-dates.

wilsonfreitas/awesome-quant · 47 tokens

defeatbeta-earnings-preview

Build pre-earnings analysis with normalized baselines, weighted decision models, company-specific veto gates, scenario frameworks, catalysts, historical reactions, and options-implied moves. Use before a company reports quarterly earnings to prepare positioning notes or bilingual three-page PDF reports.

defeat-beta/defeatbeta-api · 60 tokens

defeatbeta-analyst

Professional financial analysis using 60+ market data APIs. Use for: company fundamentals (revenue, margins, EPS, balance sheet), valuation (P/E, P/B, P/S, PEG, DCF, intrinsic value), profitability (ROE, ROA, ROIC), growth trends (YoY revenue/earnings/FCF), earnings transcripts (key data, changes, guidance), industry…

defeat-beta/defeatbeta-api · 154 tokens