Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add laborany/laborany --skill financial-reportgit clone --depth 1 https://github.com/laborany/laboranyWrote 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.
[](https://agentmods.dev/skills/laborany/laborany/financial-report)<a href="https://agentmods.dev/skills/laborany/laborany/financial-report"><img src="https://agentmods.dev/badge/skills/laborany/laborany/financial-report/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.
<a href="https://agentmods.dev/skills/laborany/laborany/financial-report"><img src="https://agentmods.dev/badge/skills/laborany/laborany/financial-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00083 | $0.00723 |
| Opus 5 | $0.00042 | $0.00362 |
| Sonnet 5 | $0.00017 | $0.00145 |
| Haiku 4.5 | $0.00008 | $0.00072 |
Grade A, and why
金融研报助手 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 9d 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.
What it actually says
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。
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 98 lines · 83 tokens per session scan A 64fcae18ab58
金融研报助手 is a skill published in the GitHub repository laborany/laborany (81 stars, last pushed 3mo ago), licensed MIT. It adds 83 tokens to every session and 723 once invoked, about $0.0004 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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