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.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 47 | 1.7K | 1 | - |
| SkillHub ↗ | 121 | 1.8K | 1 | — |
Platforms count differently and update at different times.
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
Generated from the skill’s documentation as examples; not results of actual runs.
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.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 1.8K | — | 1 |
| 2026-08 | 1.6K | +6.8% | 1 |
| 2026-07 | 1.5K | +18.3% | 1 |
| 2026-06 | 1.2K | +13.6% | 1 |
| 2026-05 | 1.1K | — | 1 |
| 2026-03 | 548 | — | 1 |
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.
---
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- 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。
The data layer for AdMapix: turn ad and app queries into API calls that return raw JSON only.
Searches the public web through Tavily and returns structured results with links and snippets.
A data-analysis skill that turns databases, spreadsheets, and raw exports into decision-ready conclusions.
A skill that analyzes stocks and cryptocurrencies on Yahoo Finance data and tracks a portfolio.
Manages a local stock watchlist and summarizes recent quotes for its codes from the Tonghuashun stock pages.
知了标讯: Searches and analyzes tender, award, supplier, and procurement-market information.
Track blog and RSS/Atom feed updates from the command line.
Summarises per-model usage cost for Codex or Claude.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.