a-share-screener SKILL.md skillA

a-share-screener from nicepkg/ai-workflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nicepkg/ai-workflow/a-share-screener@git:20260118.be84779

Pins git:20260118.be84779 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nicepkg/ai-workflow
Path
workflows/stock-trader-workflow/.claude/skills/a-share-screener/SKILL.md
Versions recorded
1
Latest version
git:20260118.be84779, committed Jan 18, 2026
Size
8,281 bytes
Repository stars
291
License
MIT

Screen and filter A-share stocks based on fundamental metrics, technical indicators, capital flow, and custom criteria. Support multiple screening strategies including value investing, growth investing, momentum trading, and dividend hunting. Use when user wants to find stocks meeting specific criteria like "低PE高ROE股票", "北向资金加仓股", "突破年线的股票".

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# A股选股器 (A-Share Stock Screener)

## Overview

Screen A-share stocks using various criteria including fundamental metrics, technical indicators, capital flow patterns, and combined strategies. Support preset screening strategies and custom filter combinations.

## Screening Categories

### 1. Fundamental Screening (基本面选股)

**Value Metrics (价值指标):**
| Metric | Chinese | Typical Criteria |
|--------|---------|-----------------|
| P/E Ratio | 市盈率 | < 15 (value), < 行业均值 |
| P/B Ratio | 市净率 | < 1.5, < 行业均值 |
| P/S Ratio | 市销率 | < 2 |
| PEG Ratio | PEG | < 1 (被低估) |
| Dividend Yield | 股息率 | > 3% |
| EV/EBITDA | | < 10 |

**Quality Metrics (质量指标):**
| Metric | Chinese | Typical Criteria |
|--------|---------|-----------------|
| ROE | 净资产收益率 | > 15% |
| ROA | 总资产收益率 | > 5% |
| Gross Margin | 毛利率 | > 30% |
| Net Margin | 净利率 | > 10% |
| Operating Cash Flow | 经营现金流 | > 净利润 |

**Growth Metrics (成长指标):**
| Metric | Chinese | Typical Criteria |
|--------|---------|-----------------|
| Revenue Growth | 营收增速 | > 20% YoY |
| Profit Growth | 利润增速 | > 20% YoY |
| EPS Growth | 每股收益增速 | > 15% |
| 3Y CAGR | 三年复合增长率 | > 15% |

**Financial Health (财务健康):**
| Metric | Chinese | Typical Criteria |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nicepkg/ai-workflow/a-share-screener@sha256:50ff5c546b06b252

The line at the top of this page pins the label git:20260118.be84779, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_gqw66xtslf7tilyx.svg)](https://markdownregistry.com/a/art_gqw66xtslf7tilyx)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jan 18, 2026.

versioncommittedcommitsizeaudit
git:20260118.be84779 latest2026-01-18 be84779 8,281 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8281 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nicepkg/ai-workflow · 291 stars · license MIT · pushed 2026-01-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_gqw66xtslf7tilyx
GET https://markdownregistry.com/api/v1/resolve?ref=nicepkg/ai-workflow/a-share-screener
GET https://markdownregistry.com/api/v1/blob/50ff5c546b06b252f2186491fbdd0a573c61b5d24f44a89d785da5805ffa2c9e

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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