🦀 ClawHub
Daily Review Dashboard
by @j97feng-beep
Manage Steven's daily subjective review dashboard by reading, updating, and displaying daily reviews, issue tracking, sentiment tags, and next plans in revie...
TERMINAL
clawhub install daily-review-dashboard📖 About This Skill
name: daily-review-dashboard description: Manage Steven's daily subjective review (复盘) dashboard. Triggers on: (1) "复盘看板", "每日复盘", "主观复盘", (2) Steven submitting daily review content, (3) reviewing trading issues, mistakes, or emotions, (4) updating sentiment tags, problem tracking, or next-day plans. Reads and writes to the review system under review_egg/.
Daily Review Dashboard
Dashboard Location
review_egg/dashboard/index.html — 复盘看板,双击用浏览器打开Core Data Files
| File | Purpose |
|------|---------|
| review_egg/dashboard/index.html | Dashboard HTML (self-contained, stores DATA in JS) |
| review_egg/今日复盘-YYYY-MM-DD.md | Daily review raw text |
| review_egg/review_index.jsonl | Structured review index (JSONL, one line per day) |
| review_egg/review_summary.csv | CSV summary of all reviews |
| review_egg/dashboard_data/summary.json | Aggregated stats (issue counts, streaks) |
| review_egg/dashboard_data/issues_tracker.json | Issue tracking list |
Data Schema (reviews array in HTML DATA object)
{
"date": "2026-03-18",
"review_id": "review_20260318",
"market_summary": "阳光电源持仓浮盈...",
"biggest_gain": "...",
"biggest_loss": "...",
"top_issue": "...",
"tags": ["买点错误", "无逻辑买入"],
"sentiment_tags": ["反省", "冲动"],
"daily_return_pct": 2.74,
"trade_count": 1,
"positions_count": 1,
"open_positions": "阳光电源 300股",
"issue_recurrence_count": 1,
"issue_category": "冲动交易",
"linked_trades": ["300274"],
"next_plan": "兆易创新若回调至支撑可轻仓试探...",
"original_text": "1. 阳光电源清仓...\n2. 艾罗能源...\n3. 兆易创新...",
"holdings": [
{
"name": "阳光电源",
"symbol": "300274",
"quantity": 300,
"cost": 163.16,
"current_price": 166.59,
"unrealized_pnl": 1029,
"unrealized_pnl_pct": 2.10
}
]
}
Standard Workflows
Opening the Dashboard
open ~/.openclaw/workspace/review_egg/dashboard/index.html
Adding a New Daily Review
1. Write raw text toreview_egg/今日复盘-YYYY-MM-DD.md
2. Append structured entry to review_egg/review_index.jsonl
3. Append summary row to review_egg/review_summary.csv
4. Update review_egg/dashboard_data/summary.json (issues_summary, daily_returns, totals)
5. Update review_egg/dashboard_data/issues_tracker.json if new issues
6. Update review_egg/dashboard/index.html DATA object:
- Add to reviews[] array
- Add to daily_returns[]
- Update totals (total_reviews, avg_daily_return, etc.)
7. Run open review_egg/dashboard/index.htmlDashboard Sections
The dashboard has these sections (in order): 1. 总览卡片(复盘次数、收益率、问题统计、连胜) 2. 📈 每日收益率柱状图 3. ⚠️ 问题出现统计 4. 💼 持股状况(fromholdings[])
5. 📄 复盘原文(from original_text)
6. 📋 复盘历史(structured summary cards)Key Rules
original_text field — displayed verbatimholdings[] — only shows latest date with holdingsUpdate Checklist
After receiving new review from Steven:review_egg/今日复盘-YYYY-MM-DD.md (raw text)review_egg/review_index.jsonl (append JSONL)review_egg/review_summary.csv (append CSV row)review_egg/dashboard_data/summary.json (update aggregates)review_egg/dashboard_data/issues_tracker.json (new issues)review_egg/dashboard/index.html (update DATA object)