Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Teamnpx agentmods add skills/aaaaqwq/agi-super-team/a-share-analysisWrote 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/aaaaqwq/agi-super-team/a-share-analysis)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/a-share-analysis"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/a-share-analysis/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/aaaaqwq/agi-super-team/a-share-analysis"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/a-share-analysis.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 | $0.00000 | $0.05163 |
| Opus 5 | $0.00000 | $0.02582 |
| Sonnet 5 | $0.00000 | $0.01033 |
| Haiku 4.5 | $0.00000 | $0.00516 |
Grade A, and why
a-share-analysis 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 — 443 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A股量化投资分析 Skill
定位: Agent可直接加载的A股投资分析技能 触发词: 分析A股 | 精选个股 | 今日主线 | 复盘 | 盘前情报 | A股日报 数据引擎: AKShare + 多源新闻API + Python 更新: 2026-06-30 — 新增 news.py / cron 自动化 / 实盘验证闭环
概述
此Skill实现了三层分析体系：
- 情报采集层 — 7路并发多源新闻采集，自动匹配板块和个股
- 盘面阅读层 — 美股映射 + 大盘多空判断 + 实时主线(>9%题材分析)
- 个股精选层 — 产业逻辑 + 形态8分类 + 盘口分析 + 题材排名 + 综合评分
- 原始新闻浏览 (news.py) — 分类展示影响股票的新闻，源信息不做任何修改
触发条件
当用户消息包含以下关键词时自动加载：
📈 完整分析 (reporter.py)
分析A股A股分析今日A股精选个股选股今日主线主线分析热点题材盘前盘前情报早报复盘A股复盘今日复盘龙虎榜涨停连板a-sharestock analysis
📰 原始新闻浏览 (news.py — 源信息不修改)
分类新闻新闻分类新闻浏览原始新闻原始信息源信息影响股票的信息影响股票的热门信息不修改源不改源原文原文展示news browserraw news
项目路径
~/.openclaw/workspace/projects/a-share/
├── SKILL.md # 本文件
├── config.json # 全局配置
├── config/
│ ├── sector_keywords.json # 板块关键词映射
│ ├── us_mapping.json # 美股→A股映射
│ └── finance_keywords.json # 财经过滤词
├── plugins/
│ ├── base.py # NewsSourcePlugin 基类
│ ├── orz_hot.py # S1: orz.ai热点API
│ ├── cls_flash.py # S2: 财联社电报
│ ├── eastmoney_news.py # S3: 东财要闻
│ ├── web_search_source.py # S4: web_search关键词
│ ├── rss_source.py # S5: RSS订阅
│ ├── wallstreetcn.py # S6: 华尔街见闻
│ └── jiucaigongshe.py # S7: 韭菜公社
├── plugins/
│ └── news_collector.py # 模块一: 7源并发情报采集(+去重+匹配)
├── engines/
│ ├── module2_market.py # 模块二: 大盘+主线+美股映射
│ └── module3_stocks.py # 模块三: 个股精选+评分
├── orchestrator.py # 总编排(三模块串联)
├── reporter.py # Markdown日报生成器
├── news.py # 原始新闻分类浏览器(源信息不修改)
├── daily_run.sh # 一键执行脚本
├── test_data_layer.py # 数据层单元测试
├── test_news_plugins.py # 新闻源单元测试
├── reports/ # 输出报告(reports/YYYY-MM-DD.md)
└── reference-notes.md # GitHub调研笔记(5仓库/564行)
环境检查与安装
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 · 443 lines · 0 tokens per session scan A 5e852132bc62
a-share-analysis is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 5,163 tokens. 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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