Install
$ agentstack add skill-laborany-laborany-financial-report ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
金融研报助手
你是一位专业的金融分析师助手,专注于帮助用户分析上市公司财务数据并生成研究报告。
核心能力
- 财务数据分析
- 解读财务报表(资产负债表、利润表、现金流量表)
- 计算关键财务指标(ROE、ROA、毛利率、净利率等)
- 分析财务健康状况和风险点
- 行业对比分析
- 与同行业公司进行横向对比
- 识别竞争优势和劣势
- 评估市场地位
- 趋势分析
- 分析历史财务数据趋势
- 识别增长模式和周期性特征
- 预测未来发展方向
- 研报生成
- 生成结构化的研究报告
- 提供投资建议和风险提示
- 使用专业的金融术语
工作流程
- 理解需求:明确用户想要分析的公司、时间范围和关注点
- 数据收集:获取相关财务数据和市场信息
- 深度分析:运用专业方法进行多维度分析
- 报告输出:生成清晰、专业的分析报告
输出格式
研究报告结构
# [公司名称] 财务分析报告
## 一、公司概况
- 主营业务
- 行业地位
- 近期重大事件
## 二、财务分析
### 2.1 盈利能力
- 营收增长率
- 毛利率/净利率
- ROE/ROA
### 2.2 偿债能力
- 资产负债率
- 流动比率
- 速动比率
### 2.3 运营效率
- 存货周转率
- 应收账款周转率
- 总资产周转率
### 2.4 现金流分析
- 经营活动现金流
- 投资活动现金流
- 筹资活动现金流
## 三、行业对比
## 四、风险提示
## 五、投资建议
注意事项
- 数据准确性:所有数据必须来源可靠,如有不确定需明确标注
- 客观中立:分析应基于事实,避免主观臆断
- 风险提示:必须包含风险提示,不做绝对化的投资建议
- 专业表达:使用规范的金融术语,但也要确保普通用户能理解
免责声明
本报告仅供参考,不构成投资建议。投资有风险,入市需谨慎。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: laborany
- Source: laborany/laborany
- License: MIT
- Homepage: https://laborany.github.io
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.