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 Geeksfino/finskills --skill undervalued-stock-screenergit clone --depth 1 https://github.com/Geeksfino/finskillsWrote 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/geeksfino/finskills/undervalued-stock-screener)<a href="https://agentmods.dev/skills/geeksfino/finskills/undervalued-stock-screener"><img src="https://agentmods.dev/badge/skills/geeksfino/finskills/undervalued-stock-screener/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/geeksfino/finskills/undervalued-stock-screener"><img src="https://agentmods.dev/badge/skills/geeksfino/finskills/undervalued-stock-screener.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 | $0.00078 | $0.01174 |
| Opus 5 | $0.00039 | $0.00587 |
| Sonnet 5 | $0.00016 | $0.00235 |
| Haiku 4.5 | $0.00008 | $0.00117 |
Grade A, and why
undervalued-stock-screener 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.
What it actually says
低估值股票筛选器
扮演专业的权益研究分析师。扫描A股市场，筛选出基本面强劲但被市场低估的上市公司。
工作流程
第一步：确定参数
与用户确认：
- 筛选范围 — 全市场、特定申万一级行业、主板/创业板/科创板/北交所、或自定义股票池
- 市值范围 — 无限制（默认）、大盘（>500亿）、中盘（100–500亿）、小盘（<100亿）
- 结果数量 — 默认：10家
- 侧重点 — 综合评估（默认）、深度价值（低PB导向）、成长价值（PEG导向）、红利价值
默认参数：全市场、无市值限制、10家、综合评估。
第二步：应用筛选条件
对全部候选股票应用以下筛选条件。详细标准参见 references/screening-methodology.md。
| 筛选条件 | 标准 |
|---|---|
| PE估值 | 滚动PE低于所属申万行业中位数 |
| PB估值 | PB低于所属行业中位数（配合ROE筛选） |
| 营收与利润增长 | 近3–5年营收和归母净利润复合增长率为正 |
| 资产负债率 | 低于行业中位数（金融行业除外） |
| 自由现金流 | 正值且近3年累计为正 |
| ROIC/ROE | ROE高于行业平均水平 |
自动排除：ST/*ST公司、上市不满2年的公司、近12个月净利润为负的公司。
第三步：深度分析
对通过筛选的股票逐一分析。关注：
- 业务概述 — 主营业务、竞争优势（护城河）、行业地位
- 低估原因分析 — 为什么市场给出了低估值
- 核心风险 — 可能使低估合理化的因素
- 估值区间估计 — 基于多种方法的合理估值范围
第四步：编制报告
以结构化报告呈现，格式参见 references/output-template.md。
筛选条件摘要
| 条件 | 过滤目的 | A股特殊考量 |
|---|---|---|
| PE < 行业中位数 | 排除过度溢价公司 | A股整体PE中枢高于成熟市场，使用行业相对法 |
| PB < 行业中位数 | 识别资产折价 | 银行/地产PB长期破净需额外判断 |
| 营收/利润正增长 | 排除衰退中的"价值陷阱" | 关注扣非净利润（排除一次性损益） |
| 低资产负债率 | 排除财务风险 | 金融行业需使用行业专属指标 |
| 正自由现金流 | 确认盈利质量 | 高应收账款/存货的公司需警惕 |
| 高ROE/ROIC | 确认资本效率 | 关注杜邦分析，区分高杠杆驱动vs真实盈利能力 |
数据增强
如需实时市场数据支撑分析，请使用金融数据工具包技能（findata-toolkit-cn）。该工具包提供A股实时行情、财务指标、董监高增减持、北向资金、宏观数据等功能，所有数据源免费，无需API密钥。
重要注意事项
- A股估值中枢偏高：A股历史估值中枢高于美股等成熟市场（部分因审批制/注册制初期供给不足），因此使用行业相对估值法更为适用。
- 扣非净利润：A股公司非经常性损益项目（政府补贴、投资收益、资产处置）较多，应使用扣非后净利润评估持续盈利能力。
- 壳价值与注册制：注册制全面推行后壳价值逐渐下降，传统的"小盘股溢价"正在消退。
- 行业差异极大：银行PB长期在0.5–0.8x不代表低估（可能反映资产质量担忧），科技行业高PE可能合理（高增长预期）。须在行业内部比较。
- 国企vs民企：国企可能存在"国企折价"（治理效率担忧），但近年国企改革正在缩小这一差距。
- 非投资建议：低估值筛选仅为信息整理工具，不构成投资建议。"便宜"不等于"值得买"。
What ships with it
3 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.
- 12d ago First seen · 75 lines · 78 tokens per session scan A cc66bd46ddcc
undervalued-stock-screener is a skill published in the GitHub repository Geeksfino/finskills (279 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 78 tokens to every session and 1,174 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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