Market Daily Review
A-share end-of-day review reports from Pandadata, every figure traceable to an interface
Test report
- Verdict
- Works with setup
- Score
- Tested
- Jul 24, 2026
- Environment
- Claude Code 2.x (agent harness)
- Upstream re-checked
- Jul 30, 2026 · 76ca25d
⚠ This skill is no longer available upstream. Our re-check on Aug 10, 2026 couldn't find it any more (repo unreachable/deleted). The test below is what we measured on Jul 24, 2026 and we're leaving it up as a record — but there is nothing left to install, so we've removed the command.
Ran the bundled validate_report.py live: it is a real 13-point gate that flagged every missing section, source note, data-date label and the required non-advice disclaimer on a junk file, and passed the shipped template. But the actual report cannot be produced without the Pandadata API (skill-pandadata-api) it depends on, so the data pipeline is unverifiable here and no baseline delta could be measured. Solid discipline and a working validator; the real value is gated behind an external A-share data source.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 5/5
- Output vs. baseline 5/10
- Docs & honesty 4/5
What Market Daily Review does
Generates Chinese A-share after-close review reports covering indexes, valuation, market breadth, limit-up/down sentiment, sectors, 龙虎榜, block trades, margin financing and northbound flows. Pulls data from the Pandadata API, forbids invented figures, and validates each report against a required-sections checklist. Triggers on 今日复盘, 收盘总结, A股复盘, 龙虎榜复盘, 北向资金 or requests to schedule an automated daily review.
How to install Market Daily Review
Nothing to install: the source repository no longer has this skill. If the author brings it back, our daily re-check will pick it up and the command will reappear here.
Commands — how to trigger Market Daily Review
-
/market-daily-reviewA-share end-of-day review reports from Pandadata, every figure traceable to an interface
It also activates on plain-language prompts like these:
-
生成今天A股收盘的完整复盘报告,包括板块和资金流向 -
帮我做今日龙虎榜和北向资金的复盘总结 -
设置每天收盘后自动推送A股复盘报告
Frequently asked questions
- Is the Market Daily Review skill free?
- Yes. The skill itself is free from quantskills/skill-market-daily-review. SkillProof publishes the install command and an independent test verdict at no cost.
- Does Market Daily Review work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Jul 24, 2026. Verdict: Works with setup. Ran the bundled validate_report.py live: it is a real 13-point gate that flagged every missing section, source note, data-date label and the required non-advice disclaimer on a junk file, and passed the shipped template. But the actual report cannot be produced without the Pandadata API (skill-pandadata-api) it depends on, so the data pipeline is unverifiable here and no baseline delta could be measured. Solid discipline and a working validator; the real value is gated behind an external A-share data source.
- What is the Market Daily Review SkillProof Score?
- 7.6/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 5/10, docs & honesty 4/5.
- How do I install Market Daily Review?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use Market Daily Review with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.