stock-analytics-skill: Skill for Claude Code

.agents/skills/announcement-analysis/SKILL.md

announcement-analysis is a skill for Claude Code, Codex from belos-street/stock-analytics-skill. It costs 56 tokens per session (2,305 once invoked), scanned A, original, MIT.

A skill for reading company announcements and financial reports, such as annual and quarterly reports, and explaining their important points and possible effect on a stock.

In plain words
What is it for?
Use it to review earnings forecasts, annual reports, quarterly reports, major asset deals, and other company announcements for changes in performance, financial health, management, shareholder returns, and investment value.
Why use it?
It turns lengthy financial documents into a structured summary, while checking whether reported growth appears reliable and identifying risks. It does not give buy or sell orders or promise returns.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is belos-street/stock-analytics-skill's own configuration. It tells Claude Code and Codex how to work on stock-analytics-skill itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything stock-analytics-skill configures →

Reuse

Borrowing it

Nothing to install: this file belongs to belos-street/stock-analytics-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/belos-street/stock-analytics-skill/main/.agents/skills/announcement-analysis/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/belos-street/stock-analytics-skill

Made for: Claude Code, Codex.

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 announcement-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/announcement-analysis/github.svg)](https://agentmods.dev/skills/belos-street/stock-analytics-skill/announcement-analysis)
Your own site
<a href="https://agentmods.dev/skills/belos-street/stock-analytics-skill/announcement-analysis"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/announcement-analysis/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 announcement-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/belos-street/stock-analytics-skill/announcement-analysis"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/announcement-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,305 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 $0.00056 $0.02305
Opus 5 $0.00028 $0.01153
Sonnet 5 $0.00011 $0.00461
Haiku 4.5 $0.00006 $0.00231

Measured 12d ago against content hash 280367cf5104, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

announcement-analysis 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 12d 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.

.agents/skills/announcement-analysis/SKILL.md · 388 lines

How it starts

The opening of the file, as written. The whole thing — 388 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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. 市场反应预测
   - 超预期:可能上涨
   - 符合预期:中性
   - 低于预期:可能下跌
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:
- 市场反应预测:

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
   - 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:
- 增长持续性:
- 投资价值变化:

3. 重大资产重组

分析框架
1. 交易概况
   - 交易标的
   - 交易价格
   - 支付方式

2. 交易逻辑
   - 战略目的
   - 协同效应
   - 定价合理性

3. 影响分析
   - 对业绩的影响
   - 对估值的影响
   - 对股权结构的影响

4. 风险提示
   - 审批风险
   - 整合风险
   - 业绩承诺风险

5. 市场反应
   - 历史类似案例
   - 可能的股价表现

4. 股权变动

分析框架
1. 变动情况
   - 变动股东
   - 变动数量
   - 变动比例

2. 变动原因
   - 减持:资金需求、信心不足
   - 增持:看好未来、信心充足
   - 举牌:战略意图、控制权争夺

3. 影响分析
   - 对股权结构的影响
   - 对公司治理的影响
   - 对股价的影响

5. 分红公告

分析框架
1. 分红方案
   - 分红金额
   - 分红率
   - 股息率

2. 分红质量
   - 盈利能力支撑
   - 现金流支撑
   - 持续性判断

3. 投资者影响
   - 对不同投资者的影响
   - 除权除息影响
   - 分红再投资价值

6. 战略合作/重大合同

分析框架
1. 合作概况
   - 合作方
   - 合作内容
   - 合作期限

2. 商业价值
   - 对业绩的贡献
   - 市场空间
   - 竞争优势

3. 风险提示
   - 履约风险
   - 竞争风险
   - 政策风险

财报质量评估体系

1. 收入质量

- 收入现金含量 = 销售商品提供劳务收到的现金 / 营业收入
- 评价:>80%为优质,<50%需警惕

- 收入季节性 = 各季度收入占比
- 评价:避免过于集中的季节性

- 客户集中度 = 前五大客户占比
- 评价:<30%较安全,>50%需警惕

Read the full file on GitHub · 388 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. 12d ago First seen · 388 lines · 56 tokens per session scan A 280367cf5104

Subscribe to this mod's changes

announcement-analysis is a skill published in the GitHub repository belos-street/stock-analytics-skill (49 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 2,305 once invoked, about $0.0003 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 2026-08-30.

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