Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Daily Review Assistant
Generate A-share daily review report (stock-analysis/daily_review.py). Supports --email.
skill openclawclawhub Free
Generate A-share daily review report (stock-analysis/daily_review.py). Supports --email.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, skill.json
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- cnxufei-tech
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
功能
生成 A 股每日复盘 Markdown 报告（基于 AkShare），并可选通过 SMTP 发送邮件。 包含： 全市场概览（指数、涨跌家数、成交额等） 连板统计与明细（含成交额/换手/封板时间） 板块涨幅榜（行业板块；失败时回退概念板块） 龙虎榜（标题带总数；列出全部净买入个股，含涨幅；并附“其他上榜”简表） 舆情监控（涨停股新闻标题关键词打分） 次日策略
命令触发（推荐）
生成报告：/daily-review 2026-02-27 发送邮件：/daily-review 2026-02-27 --email 不传日期：默认今日 由助手在工作区执行：python3 stock-analysis/daily_review.py <date> [--email]。
手动生成
在工作区运行： python3 stock-analysis/daily_review.py 20260227 日期支持： YYYYMMDD YYYY-MM-DD 不传日期：默认今日
发送邮件（可选）
python3 stock-analysis/daily_review.py 20260227 --email 邮件配置文件： 默认：stock-analysis/email_config.json 可用环境变量覆盖：DAILY_REVIEW_EMAIL_CONFIG=/path/to/email_config.json SMTP 密码（授权码）从环境变量读取： 默认：SMTP_PASSWORD 配置示例： stock-analysis/email_config.example.json
输出
报告保存路径：stock-analysis/reports/YYYYMMDD.md
依赖
Python 3 akshare
注意
AkShare 数据源偶发断连，脚本已对板块接口做退避重试与回退。 邮件发送使用 SMTP，建议使用服务商的“授权码”而不是登录密码。
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Config
- SKILL.md
- skill.json