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 idea2realClaw/myAgent --skill stock-sentimentgit clone --depth 1 https://github.com/idea2realClaw/myAgentWrote 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/idea2realclaw/myagent/stock-sentiment)<a href="https://agentmods.dev/skills/idea2realclaw/myagent/stock-sentiment"><img src="https://agentmods.dev/badge/skills/idea2realclaw/myagent/stock-sentiment/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/idea2realclaw/myagent/stock-sentiment"><img src="https://agentmods.dev/badge/skills/idea2realclaw/myagent/stock-sentiment.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 | $0.00121 | $0.01068 |
| Opus 5 | $0.00060 | $0.00534 |
| Sonnet 5 | $0.00024 | $0.00214 |
| Haiku 4.5 | $0.00012 | $0.00107 |
Grade A, and why
stock-sentiment 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 8d 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
股票舆情分析 Skill
功能概述
通过多源数据采集，分析指定股票的市场情绪、人气热度、重要公告及机构观点，输出结构化 Markdown 报告。
数据来源：
- 雪球：社区讨论帖、股票关注人数、行情数据
- 东方财富股吧：散户讨论帖（近期热帖、互动数据）
- 东方财富公告中心：上市公司公告（过滤重大公告）
- 东方财富研报：机构研报摘要、评级分布
- 财联社：实时快讯（重要事件优先标注）
- 富途牛牛：股票新闻资讯（含情绪标签）
分析维度：
- 情绪分析（看多/中性/看空分布，高频情绪词）
- 人气热度（讨论量、雪球关注数）
- 热帖精选（互动量排名）
- 重要信息识别（增减持、业绩、监管等关键词）
- 机构态度（研报评级聚合）
使用方法
基本命令
# 分析某只股票近90天舆情（默认）
python3 ~/.workbuddy/skills/stock-sentiment/scripts/generate_report.py <股票代码>
# 指定回溯天数（如近30天）
python3 ~/.workbuddy/skills/stock-sentiment/scripts/generate_report.py <股票代码> 30
# 示例
python3 ~/.workbuddy/skills/stock-sentiment/scripts/generate_report.py 600339 90
报告输出
报告保存至：~/ClawData/WorkBuddy/sentiment-<股票代码>-<日期>.md
工作流程
- 执行命令 → 调用
generate_report.py，传入股票代码和天数 - 等待采集 → 脚本依次采集雪球、股吧、公告、研报、财联社（约需 30~60 秒）
- 读取报告 → 采集完成后读取生成的
.md文件 - 向用户展示 → 以结构化方式呈现关键结论：整体情绪、热帖、重要公告、机构观点
各脚本说明
| 脚本 | 功能 |
|---|---|
generate_report.py |
主入口，协调采集和分析，输出完整报告 |
fetch_xueqiu.py |
雪球讨论帖、行情、关注人数 |
fetch_eastmoney.py |
股吧讨论、上市公司公告、机构研报 |
fetch_other_sources.py |
富途新闻、财联社快讯、同花顺人气 |
analyze_sentiment.py |
情绪关键词分析、热帖筛选、重要信息识别 |
注意事项
- 雪球 Cookie：部分雪球接口需要登录。Cookie 文件路径：
~/ClawData/WorkBuddy/cookies.json- 如未登录，脚本会自动访问首页获取 token（可能采集量偏少）
- 频率限制：脚本已内置随机延迟（0.8~1.5s），避免触发反爬
- 富途数据：富途新闻接口有反爬保护，失败时会跳过该来源，不影响整体报告
- 数据时效：当天盘中分析可能缺少今日数据，建议收盘后使用
报告结构
一、人气概况 ← 各平台讨论量、关注人数、热度评级
二、市场情绪分析 ← 综合情绪、看多/看空分布、高频词
三、热帖精选 ← 互动量最高的帖子（附链接）
四、重要信息提示 ← 含业绩/增减持/监管等关键词的帖子
五、近期公司公告 ← 公告列表，重要公告高亮
六、机构研报 ← 评级分布、机构整体观点、最新研报
七、财联社快讯 ← 重要快讯优先展示
八、综合评估 ← 人气/情绪/机构/风险一览表
What ships with it
5 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.
- 8d ago First seen · 93 lines · 121 tokens per session scan A a22c03aa2f0a
stock-sentiment is a skill published in the GitHub repository idea2realClaw/myAgent (2 stars, last pushed 19d ago), licensed MIT. It adds 121 tokens to every session and 1,068 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 2026-08-31.
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