lean-qc500-style-screen

lean-qc500-style-screen is a skill for Claude Code from Travisun/Opptrix. It costs 93 tokens per session (1,761 once invoked), scanned A, original, Apache-2.0.

A stock-screening workflow that approximates a large, liquid investment universe using measures such as trading value, size, and financial fields. It is inspired by QC500-style rules, but it does not produce the official QuantConnect QC500 list.

In plain words
What is it for?
Use it to filter index constituents or other stock groups by liquidity, market size, and selected financial conditions, then review which records pass.
Why use it?
It helps narrow a broad A-share universe into a reviewable candidate table when the original market’s exact data and constituents are unavailable.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to filter index constituents or other stock groups by liquidity, market size, and selected financial conditions, then review which records pass.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/travisun/opptrix/lean-qc500-style-screen
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 Travisun/Opptrix --skill lean-qc500-style-screen
Clone the repo
git clone --depth 1 https://github.com/Travisun/Opptrix

Made for: Claude Code.

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 lean-qc500-style-screen

README.md
[![agentmods](https://agentmods.dev/badge/skills/travisun/opptrix/lean-qc500-style-screen/github.svg)](https://agentmods.dev/skills/travisun/opptrix/lean-qc500-style-screen)
Your own site
<a href="https://agentmods.dev/skills/travisun/opptrix/lean-qc500-style-screen"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/lean-qc500-style-screen/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 lean-qc500-style-screen

Your own site · 80×15
<a href="https://agentmods.dev/skills/travisun/opptrix/lean-qc500-style-screen"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/lean-qc500-style-screen.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 1,761 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 $0.01761
Opus 5 $0.00046 $0.00881
Sonnet 5 $0.00019 $0.00352
Haiku 4.5 $0.00009 $0.00176

Measured 5d ago against content hash 456c8e45c941, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

lean-qc500-style-screen 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 5d ago.

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.

packages/agent-skills/builtin/lean-qc500-style-screen/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LEAN QC500式筛选

方法溯源 QuantConnect LEAN 社区算法/示例思路;本技能是平台工具编排的投研工作流禁止假装跑完整 LEAN 引擎或输出 LEAN 回测曲线、订单日志冒充引擎结果。实际取数与计算仅限 Opptrix 工具(行情/财务/opptrix_run 沙盒等)。

能力声明(assumption-only):本技能在非美股(尤其 A 股)上仅为 QC500 风格近似规则不是 QuantConnect 官方 QC500 成分、也不是「这就是 QC500」。规则、阈值与字段口径须在报告首页声明。完整度:assumption-only

何时使用

用户要在 A股宽基成分上做流动性/规模启发式筛选,得到可复核候选表(LEAN QC500 风格溯源,非官方 QC500、非美股原版照搬)。默认交付可预览网页。

边界:一般成分条件筛选用 @skill:universe-screen;本技能专指 QC500 风格规则(成交额/市值/排除壳等启发式)。禁止声称输出「官方 QC500 成分」或「这就是 QC500」。

A股适配(默认)

  • 默认市场 CN(A股 / 场内 ETF)。用户点名美股/港股再切换,并声明数据口径与微观结构差异。
  • 默认取数优先 search_instruments / get_index_constituents / get_sector_* / get_etf_* 及 CN 可用指标与行情工具。
  • 禁止称「这就是 QC500」:A 股路径仅为「宽基 + 成交额 + 财务/市值」启发式近似,完整度 assumption-only
  • 示例宇宙:get_index_constituents 沪深300 / 中证500 / 创业板指成分;再叠加成交额与财务过滤。
  • 微观结构:涨跌停可能导致流动性/成交额失真;融券受限 → 筛选结果只做多头候选,禁止假设可自由做空对冲。
  • 代理映射:美股 QC500 官方成分本地不可得 → 用上述指数池近似;不可硬适配处首页横幅 + ask_user
  • 不可硬适配或数据缺口时:首页横幅写清完整度(assumption-only 或更严)+ 必要时 ask_user

分析架构(投研方法)

  • 问题/假设:在本地可得数据下,哪些标的近似满足「高流动性大盘」筛选?
  • 证据清单:指数/板块成分、批量快照、可选财务/市值字段
  • 多维交叉验证:规则命中数 vs 表行;缺失字段不得当通过
  • 结论与不确定:近似≠官方 QC500;跨市场规则不可直接搬用
  • 风险与缺口:无美股专属 QC500 成分源、A 股字段口径差异
  • 微观/制度风险:涨跌停钝化、T+1、ST/停牌、融券受限(及相关会计口径差异);不得按美股连续可成交或自由做空假设叙事
  • 事实 | 假设 | 推断 分栏强制

数据维度

维度 取数方向 缺失时
宇宙基底 get_index_constituents / get_sector_constituents / 用户清单 先确认基底
筛选规则 ask_user(成交额、市值分位、排除条件等) 用书面默认启发式并标假设
批量行情 batch_instrument_snapshots 缩小池或降级
财务/规模 get_instrument_financials(按需) 跳过该条件并标明
交付 list_web_vendorcreate_web 可跳过口头要点
A股代理 / 市场 沪深300/中证500/创业板指 + 成交额/财务启发式 横幅 assumption-only;禁止称 QC500;ask_user 确认基底

步骤

  1. 确认默认 CN:标的/宇宙为 A股或场内 ETF(用户点名其他市场再切换并声明差异)。应用涨跌停/T+1/融券受限等微观约束(见 A股适配)。
  2. 确认市场与基底:指数/板块/自建池;写明非官方 QC500
  3. 声明近似规则:首页横幅:A 股/其他市场为风格近似
  4. 拉取成分与快照:应用硬性过滤;缺字段=未知
  5. 输出候选表:含规则命中统计;入选≠看好
  6. 交付网页(默认):见 @skill:create-web

Read the full file on GitHub · 91 lines

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. 5d ago First seen · 91 lines · 93 tokens per session scan A 456c8e45c941

Subscribe to this mod's changes

lean-qc500-style-screen is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed yesterday), licensed Apache-2.0. It adds 93 tokens to every session and 1,761 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 2026-09-03.

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