qmt-bridge-sector-theme

qmt-bridge-sector-theme is a skill for Claude Code, Codex from atorber/qmt-trading-skill. It costs 58 tokens per session (506 once invoked), scanned A, original, MIT.

A read-only research tool for stock sectors and themes through QMT Bridge, a service that provides market data. It finds the stocks in a sector and ranks them by recent price performance, with optional index-weight information.

In plain words
What is it for?
Use it to list available sectors, inspect their constituent stocks, compare industry strength, and build an observation list of the best or weakest performers. It does not place trades.
Why use it?
It turns a broad sector or investment theme into a list of constituent stocks and a comparable strength ranking. This reduces the need to gather and sort each stock manually.

Skill for Claude CodeCodex

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

Good fit Use it to list available sectors, inspect their constituent stocks, compare industry strength, and build an observation list of the best or weakest performers. It does not place trades.

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Install with agentmods
npx agentmods add skills/atorber/qmt-trading-skill/qmt-bridge-sector-theme
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 atorber/qmt-trading-skill --skill qmt-bridge-sector-theme
Clone the repo
git clone --depth 1 https://github.com/atorber/qmt-trading-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 qmt-bridge-sector-theme

README.md
[![agentmods](https://agentmods.dev/badge/skills/atorber/qmt-trading-skill/qmt-bridge-sector-theme/github.svg)](https://agentmods.dev/skills/atorber/qmt-trading-skill/qmt-bridge-sector-theme)
Your own site
<a href="https://agentmods.dev/skills/atorber/qmt-trading-skill/qmt-bridge-sector-theme"><img src="https://agentmods.dev/badge/skills/atorber/qmt-trading-skill/qmt-bridge-sector-theme/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 qmt-bridge-sector-theme

Your own site · 80×15
<a href="https://agentmods.dev/skills/atorber/qmt-trading-skill/qmt-bridge-sector-theme"><img src="https://agentmods.dev/badge/skills/atorber/qmt-trading-skill/qmt-bridge-sector-theme.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 506 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 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 $0.00058 $0.00506
Opus 5 $0.00029 $0.00253
Sonnet 5 $0.00012 $0.00101
Haiku 4.5 $0.00006 $0.00051

Measured 10d ago against content hash 44d8676157ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

qmt-bridge-sector-theme 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 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/sector_rank.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.

skills/qmt-bridge-sector-theme/SKILL.md · 55 lines

What it actually says

QMT Trading Skill · 板块主题

实现状态:✅ sector_rank.py

目标

板块 → 成分 → 强弱排序形成观察池,服务主题投资与行业比较框架。

脚本

脚本 作用
scripts/sector_rank.py --list-sectors 列出板块;--sector 排序

有效板块名

须以 --list-sectors 为准。实测常用:沪深A股上证A股深证A股创业板科创板
注意中证500 等名称可能无效(返回空成分)。

性能

大板块默认仅扫描前 800 只成分(--max-scan);可用 --sample 随机抽样。

主要 API

方法 路径 说明
GET /api/sector/list 板块列表
GET /api/sector/stocks 成分股
GET /api/sector/info 板块元数据
GET /api/instrument/index_weight 指数权重
GET /api/market/full_tick 成分行情

规程(规划)

  1. sector/list 或用户指定板块名
  2. sector/stocks 取成分
  3. 批量 full_tick,按涨跌幅排序输出 Top N(含 batch_stock_name 中文名)
  4. 仅观察池,不自动下单

安全

  • 只读

参考

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. 10d ago First seen · 55 lines · 58 tokens per session scan A 44d8676157ad

Subscribe to this mod's changes

qmt-bridge-sector-theme is a skill published in the GitHub repository atorber/qmt-trading-skill (22 stars, last pushed 27d ago), licensed MIT. It adds 58 tokens to every session and 506 once invoked, about $0.0003 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.

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