announcement-analysis SKILL.md skillA

announcement-analysis from belos-street/stock-analytics-agent is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add belos-street/stock-analytics-agent/announcement-analysis@git:20261021.133778e

Pins git:20261021.133778e in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
belos-street/stock-analytics-agent
Path
.agents/skills/announcement-analysis/SKILL.md
Versions recorded
2
Latest version
git:20261021.133778e, committed Oct 21, 2026
First version recorded
May 11, 2026
Size
10,167 bytes
Repository stars
56
License
MIT

公告与财报分析技能,快速解读公告、年报、季报内容,判断对股价影响,识别关键信息和投资价值。Invoke when user shares or asks to analyze company announcements, earnings reports, or financial statements.

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

# 公告与财报分析

## 技能核心定位

### 核心目标
用于公告影响力与财报质量分析,聚焦公告解读、财报分析、基本面验证。用户上传或粘贴公告、年报、季报、业绩预告,想快速知道:到底有没有用,对股价意味着什么。

### 目标用户
- **价值投资者**:分析公司基本面变化
- **事件驱动者**:关注公告带来的投资机会
- **研究分析师**:快速解读公告信息
- **财报学习者**:学习如何阅读财报

### 技能边界

**可提供服务**:
- 公告核心内容提取
- 财报关键数据分析
- 影响分析(正面/负面)
- 投资价值判断
- 信息风险识别

**不可提供服务**:
- 具体买卖指令
- 承诺收益
- 预测股价
- 内幕信息

---

## 公告类型与分析框架

### 1. 业绩预告/快报

#### 分析框架
```
1. 业绩情况
   - 营收增速
   - 净利润增速
   - 是否超预期

2. 业绩归因
   - 主营业务增长
   - 非经常性损益
   - 基数效应

3. 质量分析
   - 增长质量(是否真实)
   - 持续性(能否延续)
   - 可信度(是否合理)

4. 预期差判断(非涨跌预测)
   - 超预期:预期差为正
   - 符合预期:预期差中性
   - 低于预期:预期差为负
   - 反向情景必写:预期已定价(利好出尽/利空出尽),实际反应可能与预期差方向相反
```

#### 示例分析
```
业绩预告内容:XXXX
关键数据:
- 营收:XX亿,同比增长XX%
- 净利润:XX亿,同比增长XX%

分析结论:
- 是否超预期:
- 增长来源:
- 质量评估:
- 预期差判断(含反向情景):
```

### 2. 年报/季报

#### 分析框架
```
1. 业绩表现
   - 营收、净利润
   - 增速变化
   - 季度环比

2. 盈利能力
   - 毛利率
   - 净利率
   - ROE变化

3. 成长性
   - 增长质量
   - 增长驱动
   - 持续性

4. 财务健康
   - 资产负债率
   - 现金流
   - 资产质量

5. 股东回报
   - 分红率
   - 股息率(按 yield_basis 口径,见「分红公告」)
   - 回购计划

6. 治理变化
   - 管理层变动
   - 股权激励
   - 战略调整
```

#### 示例分析
```
年报内容摘要:XXXX

核心财务数据:
| 指标 | 本期 | 上期 | 变化 |
|------|------|------|------|
| 营收 | | | |
| 净利润 | | | |
| 毛利率 | | | |
| ROE | | | |

分析结论:
- 业绩质量:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add belos-street/stock-analytics-agent/announcement-analysis@sha256:11d14dc29ab2fd25

The line at the top of this page pins the label git:20261021.133778e, 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_lxkiktoysxvibnix.svg)](https://markdownregistry.com/a/art_lxkiktoysxvibnix)

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

Versions

The registry has recorded 2 versions of this file, between May 11, 2026 and Oct 21, 2026, about one every 163 days.

versioncommittedcommitsizeaudit
git:20261021.133778e latest2026-10-21 133778e 10,167 BA view · diff
git:20260511.ff2dbc02026-05-11 ff2dbc0 7,122 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 (10167 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

belos-street/stock-analytics-agent · 56 stars · license MIT · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_lxkiktoysxvibnix
GET https://markdownregistry.com/api/v1/resolve?ref=belos-street/stock-analytics-agent/announcement-analysis
GET https://markdownregistry.com/api/v1/blob/11d14dc29ab2fd2568ce311eba21f52ed478c404e87b4e3326d2c8162cdd1baa

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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