southbound

southbound is a skill for Claude Code, Codex from FTShare-Lab/FTShare-skill. It costs 45 tokens per session (1,014 once invoked), scanned A, original, MIT.

A market-data lookup for Southbound Stock Connect trading. Southbound trading is when mainland Chinese investors buy Hong Kong-listed shares through the Shanghai-Hong Kong or Shenzhen-Hong Kong links.

In plain words
What is it for?
Use it to review Southbound trading totals for a specified trading day and compare the Shanghai-Hong Kong and Shenzhen-Hong Kong channels.
Why use it?
It puts the two trading channels and their combined activity into one date-based result, including buying, selling, net buying, and trade counts.

Skill for Claude CodeCodex

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

Good fit Use it to review Southbound trading totals for a specified trading day and compare the Shanghai-Hong Kong and Shenzhen-Hong Kong channels.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/southbound"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/southbound.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,014 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 $0.00045 $0.01014
Opus 5 $0.00023 $0.00507
Sonnet 5 $0.00009 $0.00203
Haiku 4.5 $0.00005 $0.00101

Measured 8d ago against content hash 3dde6e991617, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

southbound 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 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/southbound/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

查询南向资金交易数据

接口说明

项目 说明
接口名称 查询南向资金交易数据
外部接口 /api/v1/market/data/southbound
请求方式 GET
适用场景 查询指定交易日南向资金(港股通沪、港股通深)交易汇总数据

请求参数

参数名 类型 是否必填 描述 取值示例 备注
date string 交易日期 20250101 格式 YYYYMMDD

执行方式

通过根目录的 run.py 调用(推荐):

python <RUN_PY> southbound --date 20250101

<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

{
    "code": 0,
    "message": "success",
    "data": {
        "date": "20250101",
        "currency": "HKD",
        "total": {
            "buy_amount": "100.00",
            "sell_amount": "80.00",
            "net_buy_amount": "20.00",
            "trade_count": 15
        },
        "channels": {
            "SH_HK": {
                "buy_amount": "60.00",
                "sell_amount": "50.00",
                "net_buy_amount": "10.00",
                "trade_count": 8
            },
            "SZ_HK": {
                "buy_amount": "40.00",
                "sell_amount": "30.00",
                "net_buy_amount": "10.00",
                "trade_count": 7
            }
        }
    }
}

顶层字段说明

字段名 类型 是否可为空 说明
code int 业务状态码,0 表示成功
message string 状态说明
data object 南向资金数据

data 字段说明

字段名 类型 是否可为空 说明
date string 交易日期
currency string 币种(HKD)
total object 南向合计数据
total.buy_amount string 买入额
total.sell_amount string 卖出额
total.net_buy_amount string 净买入额
total.trade_count int 成交笔数
channels object 分市场通道数据

channels 字段说明

字段名 类型 是否可为空 说明
SH_HK object 港股通(沪)数据
SH_HK.buy_amount string 买入额
SH_HK.sell_amount string 卖出额
SH_HK.net_buy_amount string 净买入额
SH_HK.trade_count int 成交笔数
SZ_HK object 港股通(深)数据
SZ_HK.buy_amount string 买入额
SZ_HK.sell_amount string 卖出额
SZ_HK.net_buy_amount string 净买入额
SZ_HK.trade_count int 成交笔数

Read the full file on GitHub · 108 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. 8d ago First seen · 108 lines · 45 tokens per session scan A 3dde6e991617

Subscribe to this mod's changes

southbound is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (64 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 1,014 once invoked, about $0.0002 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