stock-holder-ten

stock-holder-ten is a skill for Claude Code, Codex from FTShare-Lab/FTShare-skill. It costs 58 tokens per session (1,102 once invoked), scanned A, a copy of stock-holder-ften, MIT.

A stock-market lookup for the ten largest shareholders of Chinese A-shares, including their ranks and holdings. It can show historical reports for one stock or the latest report across the market.

In plain words
What is it for?
Use it to inspect who owns a stock, track changes in its largest shareholders over time, or review the latest ownership data across Shanghai, Shenzhen, and Beijing-listed A-shares.
Why use it?
It removes the need to find and compare shareholder disclosures manually. This helps when ownership concentration or major shareholders matters to your analysis.

Skill for Claude CodeCodex

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

Good fit Use it to inspect who owns a stock, track changes in its largest shareholders over time, or review the latest ownership data across Shanghai, Shenzhen, and Beijing-listed A-shares.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stock-holder-ten"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-holder-ten.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,102 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.
Origin 88% copy Near-identical to another mod 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 $0.00058 $0.01102
Opus 5 $0.00029 $0.00551
Sonnet 5 $0.00012 $0.00220
Haiku 4.5 $0.00006 $0.00110

Measured 7d ago against content hash 5bf813d26039, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

stock-holder-ten 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 7d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/handler.py, scripts/test_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.

Origin

This is a copy

88% identical to stock-holder-ften — 53 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

ftshare-market-data/sub-skills/stock-holder-ten/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

查询 A 股十大股东

接口说明

项目 说明
接口名称 查询 A 股十大股东
外部接口 /api/v1/market/data/holder/stock-holder-ten
请求方式 GET
适用场景 指定 stock_code 查全部历史十大股东,或 is_last=true 查全市场最新一期

请求参数

参数名 类型 是否必填 描述 取值示例 备注
stock_code string 单个股票代码 603323.SH 不传时需配合 --is_last;支持沪深京 A 股,需 6 位数字+后缀(SH/SZ/BJ),单次仅支持一个代码
is_last flag 取所有标的最新一期 (flag) 传字符串 "true";与 stock_code 二选一
page int 页码 1 默认 1,仅 is_last=true 模式下生效
page_size int 每页记录数 50 默认 50

执行方式

通过根目录的 run.py 调用(推荐):

python <RUN_PY> stock-holder-ten --stock_code 603323.SH
python <RUN_PY> stock-holder-ten --is_last --page 1 --page_size 50

<RUN_PY> 为主 SKILL.md 同级的 run.py 绝对路径。

响应结构

{
    "items": [
        {
            "stock_code": "603323.SH",
            "stock_name": "苏农银行",
            "publish_date": "2026-03-31",
            "share_holding": 50.96,
            "fen_holders": [
                {
                    "rank": 1,
                    "shareholder_name": "苏州国际发展集团有限公司",
                    "shareholder_type": "国有法人",
                    "share_type": "A股",
                    "shareholding": 200000000,
                    "share_ratio": 10.55,
                    "limit_num": 0,
                    "unlimit_num": 200000000,
                    "change_shares": 0,
                    "change_type": "不变",
                    "change_percentage": 0
                }
            ]
        }
    ],
    "total_pages": 1,
    "total_items": 21
}

Read the full file on GitHub · 100 lines

Files

What ships with it

2 files 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. 7d ago First seen · 100 lines · 58 tokens per session scan A 5bf813d26039

Subscribe to this mod's changes

stock-holder-ten is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 1,102 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to stock-holder-ften, differing in 53 lines, and is treated as a copy.

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