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.
curl -O https://raw.githubusercontent.com/belos-street/stock-analytics-skill/main/.agents/skills/growth-stock-screener/SKILL.mdgit clone --depth 1 https://github.com/belos-street/stock-analytics-skillWrote 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/belos-street/stock-analytics-skill/growth-stock-screener)<a href="https://agentmods.dev/skills/belos-street/stock-analytics-skill/growth-stock-screener"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/growth-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/belos-street/stock-analytics-skill/growth-stock-screener"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/growth-stock-screener.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00111 | $0.04747 |
| Opus 5 | $0.00056 | $0.02374 |
| Sonnet 5 | $0.00022 | $0.00949 |
| Haiku 4.5 | $0.00011 | $0.00475 |
Grade A, and why
growth-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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 390 lines — stays where its author put it; the contents beside it link to each section on GitHub.
八维成长股筛选
技能核心定位
核心目标
通过 「企业活力八维考察」 框架，筛选A股市场中最具成长爆发潜力的标的。该框架聚焦企业的创始人基因、团队活力、产品生命力和市场关注度，是从「人的质量」和「产品的质量」出发的成长股发现体系。
目标用户
- 成长股投资者：相信「小市值 + 创始人驱动 + 爆款产品」组合的复利效应
- 选美式投资者：认同「投资如同选美，对潮流敏感，提前找到大众认可的优质标的」
- 定性研究者：不满足于PE/PB等定量指标，强调对人的判断和产品力的感知
技能边界
可提供服务：
- 按八维框架筛选A股候选标的
- 对候选标的逐维度评分和交叉验证
- 输出结构化筛选报告（含评分排名和综合结论）
- 识别每个维度的风险点和尽调方向
不可提供服务：
- 具体买卖指令
- 承诺收益
- 预测涨跌幅
- 内幕信息
- 标的未来必定成长的保证
八维考察框架
维度一：上市年限
核心逻辑：优先关注上市 5 年以内的公司。这类公司利用资金扩张业务的空间更大。
评分标准：
| 上市年限 | 评价 | 说明 |
|---|---|---|
| 1-2年 | ⭐⭐⭐ 优秀 | 刚完成IPO，募资弹药充足，业务扩张空间最大 |
| 2-5年 | ⭐⭐ 良好 | 上市磨合期已过，募资仍有余力 |
| 5-8年 | ⭐ 勉强 | 增长空间可能受限，关注是否进入平台期 |
| 8年以上 | ❌ 失分 | 传统成熟企业，成长性存疑 |
例外条款：「二次创业型」老公司——上市 5 年以上、但推出了全新产品线并实现快速增长（如转型自有品牌、切入新赛道），可视为满足此条件。
验证方法：
- 查阅招股书中的募投项目进展
- IPO募资使用率（低使用率 = 弹药充足）
- 上市后是否有再融资（定增、可转债）
维度二：市值规模
核心逻辑：市值体量越大，股价翻倍所需创造的价值量级越高。优先选择市值较小的公司。
评分标准：
| 市值区间 | 评价 | 说明 |
|---|---|---|
| 30-80亿 | ⭐⭐⭐ 优秀 | 小盘股翻倍空间大，10亿利润即可支撑300亿+市值 |
| 80-200亿 | ⭐⭐ 良好 | 中盘成长，仍有可观的向上弹性 |
| 200-500亿 | ⭐ 勉强 | 翻倍需要更大业绩支撑 |
| 500亿以上 | ❌ 失分 | 巨无霸，成长难度显著提升 |
例外条款：对处于爆发式赛道（如AI算力、创新药）、且估值匹配高增速的公司，可放宽市值上限。
注意事项：
- 规避日均成交额过低（<5000万）的标的，防止流动性风险
- 警惕小市值但高负债、现金流为负的公司
维度三：创始人状态
核心逻辑：创始人（社长）仍在一线履职的公司更具优势。创始人对公司的责任感、决心和行业影响力远强于职业经理人。
评分标准：
| 创始人状态 | 评价 | 说明 |
|---|---|---|
| 创始人担任董事长+CEO/总经理 | ⭐⭐⭐ 满分 | 权力集中、决策高效，企业家精神最强 |
| 创始人担任董事长（不兼CEO） | ⭐⭐ 良好 | 战略把控仍在，但日常经营权已下放 |
| 创始人退居幕后/仅任董事 | ⭐ 一般 | 影响力减弱，需评估接班团队 |
| 创始人已出售股份/退出 | ❌ 一票否决 | 坚决回避，创始人已不看好公司未来 |
需要甄别的创始人信号：
- ✅ 正向信号：持续增持、自愿锁定不减持承诺、年薪合理
- ❌ 负向信号：上市后即减持套现、质押比例过高、年薪畸高
验证方法：
- 查阅年报「董事、监事、高级管理人员」章节，确认创始人职务
- 查看持股变动公告，判断创始人增减持方向
- 搜索创始人公开访谈，感受其企业家气质和理念
维度四：高管持股情况
核心逻辑：社长和核心高管为大股东，与股东利益高度一致。
评分标准：
| 持股情况 | 评价 | 说明 |
|---|---|---|
| 实控人持股>30% + 核心团队合计>50% | ⭐⭐⭐ 理想 | 利益高度绑定，团队稳定 |
| 实控人持股20-30% + 团队合计>40% | ⭐⭐ 良好 | 持股合理，激励充分 |
| 实控人持股10-20% | ⭐ 一般 | 利益绑定偏弱 |
| 实控人持股<10% / 无实控人 | ❌ 风险 | 决策权分散，出问题无人负责 |
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.
- 13d ago First seen · 390 lines · 111 tokens per session scan A ce321af91a2d
growth-stock-screener is a skill published in the GitHub repository belos-street/stock-analytics-skill (49 stars, last pushed 1mo ago), licensed MIT. It adds 111 tokens to every session and 4,747 once invoked, about $0.0006 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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