stk-manager-pay

stk-manager-pay is a skill for Claude Code, Codex from FTShare-Lab/FTShare-skill. It costs 71 tokens per session (762 once invoked), scanned A, original, MIT.

A lookup for the yearly pay of directors and other senior managers at a listed company. Results include the person, reporting date, amount, and currency.

In plain words
What is it for?
Use it to compare or review management and director pay for one or more Chinese listed companies.
Why use it?
It avoids manually extracting executive compensation from company reports. You can also request a specific reporting date or historical records.

Skill for Claude CodeCodex

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

Good fit Use it to compare or review management and director pay for one or more Chinese listed companies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ftshare-lab/ftshare-skill/stk-manager-pay
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 stk-manager-pay
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 stk-manager-pay

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stk-manager-pay"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stk-manager-pay.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 762 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 $0.00071 $0.00762
Opus 5 $0.00036 $0.00381
Sonnet 5 $0.00014 $0.00152
Haiku 4.5 $0.00007 $0.00076

Measured 8d ago against content hash 0a29062a9f4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

stk-manager-pay 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 8d 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.

ftshare-market-data/sub-skills/stk-manager-pay/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

查询上市公司管理层年度薪酬

接口说明

项目 说明
接口名称 查询上市公司管理层人员年度薪酬
外部接口 /api/v1/market/data/stk-manager-pay
请求方式 GET
适用场景 查询上市公司管理层人员的年度薪酬,含截止日期、币种等

请求参数

参数名 类型 是否必填 描述 取值示例 备注
trade_code string 股票代码 600848.SH 带 .SZ/.SH 后缀,支持逗号分隔多个,如 600848.SH,000001.SZ
end_date string 截止日期,精确匹配 20241231 YYYYMMDD 格式;不传则返回该股票全部历史记录

执行方式

通过根目录的 run.py 调用(推荐):

python <RUN_PY> stk-manager-pay --trade_code 600848.SH
python <RUN_PY> stk-manager-pay --trade_code 600848.SH --end_date 20241231
python <RUN_PY> stk-manager-pay --trade_code 600848.SH,000001.SZ

<RUN_PY> 为主 SKILL.md 同级的 run.py 绝对路径。

响应结构

[
    {
        "trade_code": "000001.SZ",
        "end_date": "20251231",
        "name": "冀光恒",
        "pay": "4000100",
        "currency": "人民币"
    }
]

字段说明

字段名 类型 是否可为空 说明
trade_code string 股票代码(带 .SZ/.SH 后缀)
end_date string 截止日期(YYYYMMDD
name string 管理人员姓名
pay string 年度薪酬,高精度数值,序列化为字符串
currency string 货币币种

注意事项

  • trade_code 必填,为空时接口返回 400。
  • 不分页,单只股票一次性返回全部薪酬记录;多 trade_code(逗号分隔)时合并返回。
  • 排序:trade_code 升序、end_date 降序、name 升序。
  • pay 为高精度数值,JSON 序列化为字符串以避免精度丢失。
  • 日期参数格式为 YYYYMMDD,非时间戳。

Read the full file on GitHub · 67 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. 8d ago First seen · 67 lines · 71 tokens per session scan A 0a29062a9f4d

Subscribe to this mod's changes

stk-manager-pay is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (64 stars, last pushed today), licensed MIT. It adds 71 tokens to every session and 762 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 2026-09-03.

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