JoiFG

A Share Metrics Card

Data Analysisv1.0.0
By JoiFGUpdated 2026-05-17a-share-metrics-card@clawhub_joifg/a-share-metrics-card
Data VisualizationReport GenerationMetrics Monitoring#交易

According to AlphaMoat, as of 2026-09, A Share Metrics Card has 1,822 downloads and 1 stars — ranked #4,563 of 5,078 AI skills overall, and #355 of 399 in Data Analysis.

Installs
121
Downloads
1.8K
Stars
1
Overall Rank
#4,563
Top 90% overall · Top 89% in Data Analysis
PlatformInstallsDownloadsStarsComments
ClawHub ↗471.7K1-
SkillHub ↗1211.8K1—

Platforms count differently and update at different times.

What this skill does

The primary requires a stock symbol and optionally accepts a name, focus, and output path. It prefers Python with AkShare and allows public web pages or APIs as a fallback, marking data basis and time when available. The card includes basic information, data-only observations, metrics with timestamps, and questions to verify; it gives no buy, sell, or target-price advice. Public market and financial data can be delayed or unavailable, so review source notes and timestamps and verify important figures against authoritative market data or company filings.

Profile published 2026-10-29

What you can do with it

  • Plan inputs and output scope for a single-stock A-share card
  • Compare valuation, profitability, cash-flow, debt, or dividend metrics
  • Plan source, timestamp, and file-path checks around card generation

When to use it

  • When preparing a learning or tracking card for one A-share stock and checking data sources, basis, and freshness

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Plan a metrics card for symbol 600406 without buy or sell advice, listing the source and update time to record.
List path-safety and overwrite checks before writing a card under notes/stocks/cards.

Monthly Trend

Downloads1.8K
4461.2K1.9K2026-03 · Downloads 5482026-05 · Downloads 1.1K2026-06 · Downloads 1.2K2026-07 · Downloads 1.5K2026-08 · Downloads 1.6K2026-09 · Downloads 1.8K26-0326-09
Stars1
0122026-03 · Stars 12026-05 · Stars 12026-06 · Stars 12026-07 · Stars 12026-08 · Stars 12026-09 · Stars 126-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-091.8K—1
2026-081.6K+6.8%1
2026-071.5K+18.3%1
2026-061.2K+13.6%1
2026-051.1K—1
2026-03548—1

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

1.8 KB · ClawHub v1.0.0
---
name: a-share-metrics-card
description: 获取并生成 A股单只股票的关键指标“体检卡”(估值/盈利质量/现金流/负债/分红/交易活跃度等),输出为统一 Markdown,便于对比与持续跟踪。用在:"帮我查600406关键指标"、"做一张国电南瑞体检卡"。
user-invocable: true
metadata: {"openclaw": {"emoji": "🩺"}}
---

# A-Share Metrics Card

## Inputs
Show all (43 lines)
- symbol(必填):如 "600406" / "000733"
- name(可选):中文名(若不提供则尽量自动识别)
- focus(可选):"balanced" | "value" | "growth" | "dividend"(默认 balanced)
- outputPath(可选):默认 `notes/stocks/cards/{symbol}.md`

## Steps
1. 校验参数:必须有 symbol。
2. 选择数据源:
   - 优先:Python + AkShare(覆盖广、适配A股)
   - 备选:公开网页/API(轻量但不保证稳定)
3. 拉取数据并标注“口径/时间”(能拿到就写):
   - 交易面:最新价、近52周区间、成交额/换手率(如可得)
   - 估值:PE(TTM/静态如可得)、PB
   - 质量:ROE、毛利率/净利率(如可得)
   - 健康:资产负债率、经营现金流(如可得)
   - 分红:股息率/近几年分红(如可得)
4. 生成统一 Markdown 卡片并写入 outputPath。
5. 返回:status/summary/data/nextAction。

## Output template(Markdown 卡片)
- 基本信息:代码/名称/行业(如可得)
- 快速结论(仅数据层面的“看到什么”,不做买卖建议)
- 指标表(或清单)+ 数据口径与更新时间
- 需要进一步核实的问题(2–5条)

## Safety / Boundaries
- 不输出“买/卖/目标价”。只做数据与学习提示。
- 明确数据来源与可能滞后。

## Failure
- 缺 symbol:报错并给示例。
- 取数失败:给出替代数据源建议,并提示检查网络/依赖安装。

Popular in Data Analysis

Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.