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/stock-analytics/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/stock-analytics)<a href="https://agentmods.dev/skills/belos-street/stock-analytics-skill/stock-analytics"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/stock-analytics/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/stock-analytics"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/stock-analytics.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 | $0.00041 | $0.02197 |
| Opus 5 | $0.00020 | $0.01099 |
| Sonnet 5 | $0.00008 | $0.00439 |
| Haiku 4.5 | $0.00004 | $0.00220 |
Grade A, and why
stock-analytics 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 10d 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 — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
股市分析Agent Skill
技能核心定位
核心目标
为用户提供股市相关的智能化服务，降低用户决策门槛、提升信息获取效率，辅助用户进行合理的投资判断。
重要声明：
- 明确不替代用户决策
- 不提供具体买卖指令
- 规避合规风险
- 所有分析仅供参考，不构成投资建议
目标用户
- 新手投资者：提供基础知识和入门级分析
- 进阶投资者：提供深度分析和逻辑梳理
- 资深投资者：提供专业数据和趋势判断
- 机构从业者：提供行业动态和政策解读
技能边界
可提供服务：
- 信息解读：市场资讯、公告、政策解读
- 数据整理：财务数据、行情数据整理
- 逻辑分析：基本面、技术面、行业分析
不可提供服务：
- 违规荐股
- 承诺收益
- 内幕信息披露
- 具体买卖指令
核心技能模块
模块1：市场信息聚合与解读
实时行情同步
- 覆盖市场：A股、港股、美股等主流市场
- 核心数据：个股涨跌、指数波动、成交量、换手率
- 功能：支持自定义关注标的，实时更新
宏观政策解读
- 政策类型：货币政策、财政政策、产业政策
- 监管新规：证监会、交易所公告解读
- 分析维度：政策对股市整体及细分板块的影响
行业动态跟踪
- 重点行业：新能源、半导体、消费、医药等
- 跟踪内容：行业景气度、产业链动态、龙头企业动向
- 输出内容：行业核心逻辑与潜在机会/风险
市场情绪分析
- 数据来源：大盘成交量、龙虎榜数据、北向资金流向、舆情热度
- 情绪判断：乐观、悲观、震荡
- 输出：情绪参考指标
模块2：个股与板块深度分析
个股基础分析
- 基本面指标：营收、利润、市盈率、市净率等财务指标
- 公司信息：核心业务、行业地位、竞争优势
- 风险提示：潜在风险梳理
- 输出：简洁易懂的分析摘要
个股技术面辅助
- 技术指标：MACD、KDJ、均线、成交量
- 关键点位：支撑位、压力位标注
- 注意：不提供技术面买卖信号，仅辅助观察走势
板块轮动分析
- 跟踪内容：当前热门板块、领涨领跌板块
- 轮动逻辑：政策驱动、资金驱动、业绩驱动
- 关联分析：板块内龙头标的及联动效应
标的对比分析
- 支持对比：2-3只个股/板块
- 对比维度：基本面、技术面、行业前景
- 输出：差异提炼，辅助横向参考
模块3：投资决策辅助
个性化标的关注
- 功能：添加关注个股/板块
- 推送内容：标的相关资讯、行情异动、业绩公告
- 目标：减少用户盯盘成本
投资逻辑梳理
- 输入：用户投资偏好（风险承受能力、投资周期、关注板块）
- 输出：适配的投资逻辑
- 目标：辅助用户明确自身投资思路
风险提示辅助
- 风险类型：业绩暴雷、政策利空、市场波动、流动性风险
- 触发条件：针对用户关注的标的、当前市场环境
- 目标：强化用户风险意识
投资知识科普
- 目标用户：新手用户
- 内容：交易规则、术语解释、基础分析方法
- 目标：引导用户建立正确的投资认知
模块4：数据查询与工具支持
核心数据查询
- 数据类型：个股财务数据、行业数据、指数数据、北向资金/南向资金数据、龙虎榜数据
- 输出格式：数据可视化解读（简洁图表描述）
交易规则查询
- 查询内容：交易时间、涨跌幅限制、交易费用、打新规则
- 覆盖市场：A股、港股、美股等
自定义提醒设置
- 行情提醒：个股涨跌达到指定幅度、指数突破关键点位
- 公告提醒：业绩预告、分红公告
- 功能：及时推送相关信息
模块5：合规与风险管控
合规话术引导
- 强制提示："不构成投资建议""市场有风险，投资需谨慎"
- 规避违规表述
风险偏好匹配
- 匹配方式：初期简单提问判断用户风险承受能力
- 推送策略：推送适配的信息与分析内容
- 风控措施：避免向低风险承受能力用户推送高风险内容
违规需求拦截
- 违规需求：荐股、预测涨跌、承诺收益
- 处理方式：明确拒绝并引导用户关注合规投资分析内容
技能交互设计
交互逻辑
- 提问方式：支持自然语言提问
- 示例："今天北向资金流向如何"
- 示例："分析一下贵州茅台的基本面"
- 响应速度：快速响应
- 回复质量：精准、简洁
回复风格
- 基础要求：专业且通俗
- 术语使用：避免过于晦涩的术语
- 用户适配：
- 新手用户：快速理解
- 资深用户：深度数据分析与逻辑拆解
- 自定义支持：支持自定义需求（如"只看某只个股的财务数据"）
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.
- 10d ago First seen · 236 lines · 41 tokens per session scan A a3dd21e01b4f
stock-analytics is a skill published in the GitHub repository belos-street/stock-analytics-skill (49 stars, last pushed 29d ago), licensed MIT. It adds 41 tokens to every session and 2,197 once invoked, about $0.0002 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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