Vc Industry Research
zebbern/claude-code-guide
Generate professional primary market / venture capital industry research reports, including sector deep-dives, investment memos, and market analysis.
市场分析报告（大盘快照版）— 复用市场分析页面全部数据能力：核心指数、市场广度与情绪温度、行业板块/热门概念热力图、行业多日涨跌幅对比（1/3/5日）、板块资金流（1日/5日/10日）、个股主力资金 Top20、标签体系统计。用户说「市场分析」「大盘分析」「行情分析」「今天市场怎么样」「市场报告」时使用：跑取数脚本（marketanalysis.py）→ AI 基于 facts 撰写解读 →…
Install Market Analysis
$ npx skills add qusong0627/QuantMind --skill market-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install qusong0627/QuantMind market-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/market-analysis .claude/skills/market-analysis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "market-analysis" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/market-analysis into .claude/skills/market-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/qusong0627/QuantMind/tree/master/skills/market-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add qusong0627/QuantMind --skill market-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install qusong0627/QuantMind market-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/market-analysis .agents/skills/market-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "market-analysis" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/market-analysis into .agents/skills/market-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add qusong0627/QuantMind --skill market-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install qusong0627/QuantMind market-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/market-analysis .cursor/skills/market-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "market-analysis" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/market-analysis into .cursor/skills/market-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/qusong0627/QuantMind.git --path skills/market-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add qusong0627/QuantMind --skill market-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install qusong0627/QuantMind market-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/market-analysis .gemini/skills/market-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "market-analysis" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/market-analysis into .gemini/skills/market-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install qusong0627/QuantMind market-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add qusong0627/QuantMind --skill market-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/market-analysis .github/skills/market-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "market-analysis" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/market-analysis into .github/skills/market-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add qusong0627/QuantMind --skill market-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install qusong0627/QuantMind market-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/market-analysis .opencode/skills/market-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "market-analysis" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/market-analysis into .opencode/skills/market-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
market-analysis- GitHub stars
- 1.7k
- Token cost
- ~1k tokens
- SKILL.md length
- 191 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 27
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
市场分析报告（大盘快照版）— 复用市场分析页面全部数据能力：核心指数、市场广度与情绪温度、行业板块/热门概念热力图、行业多日涨跌幅对比（1/3/5日）、板块资金流（1日/5日/10日）、个股主力资金 Top20、标签体系统计。用户说「市场分析」「大盘分析」「行情分析」「今天市场怎么样」「市场报告」时使用：跑取数脚本（marketanalysis.py）→ AI 基于 facts 撰写解读 →…
- Tasks that involve Market research
- SKILL.md covers ⚠️ 单位铁律（先查…, 执行流程（每次 5 步）, 数据能力清单（对应市场分析页面功能） and 已知边界
- Runs Python scripts from its folder; calls docker and python3
- Tasks that involve PDF
What it does
Market Analysis is an agent skill from qusong0627/QuantMind. 市场分析报告（大盘快照版）— 复用市场分析页面全部数据能力：核心指数、市场广度与情绪温度、行业板块/热门概念热力图、行业多日涨跌幅对比（1/3/5日）、板块资金流（1日/5日/10日）、个股主力资金 Top20、标签体系统计。用户说「市场分析」「大盘分析」「行情分析」「今天市场怎么样」「市场报告」时使用：跑取数脚本（marketanalysis.py）→ AI 基于 facts 撰写解读 → Markdown → PDF（研报风）→ 落盘股票报告目录 → 聊天回复速览。触发词：市场分析、大盘分析、行情分析、市场报告、看盘、今天市场、今日市场、市场怎么样
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/market_analysis.py`).
It sits in Documents & Office, covering Market research and PDF. The repository describes itself as: QuantMind（量化大脑）开源版是一款面向个人开发者与投研团队的 AI 原生多市场量化交易平台。深度集成微软 Qlib、RD-Agent 因子演化与 QuantBot全能工作台，提供从 300+ 维因子挖掘、13 种机器学习与深度学习模型工场、Qlib 高性能回测、截面批量推理、7x24… The licence is AGPL-3.0.
When your agent uses it
- Tasks that involve Market research
- Tasks that involve PDF
Example prompts
- “/market-analysis”
Requirements
- Python 3
- Docker
What it can do on your machine
Read from SKILL.md and the folder at commit 81e79e4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
dockerpython3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use docker, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Market Analysis loads about 1k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 191 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from qusong0627/QuantMind at commit 81e79e4, republished under its AGPL-3.0 licence (© qusong0627). 191 words, ~1,047 tokens.
Download SKILL.mdSave it as
.claude/skills/market-analysis/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- market-analysis
- description
- 市场分析报告（大盘快照版）— 复用市场分析页面全部数据能力：核心指数、市场广度与情绪温度、行业板块/热门概念热力图、行业多日涨跌幅对比（1/3/5日）、板块资金流（1日/5日/10日）、个股主力资金 Top20、标签体系统计。用户说「市场分析」「大盘分析」「行情分析」「今天市场怎么样」「市场报告」时使用：跑取数脚本（market_analysis.py）→ AI 基于 facts 撰写解读 → Markdown → PDF（研报风）→ 落盘股票报告目录 → 聊天回复速览。触发词：市场分析、大盘分析、行情分析、市场报告、看盘、今天市场、今日市场、市场怎么样
⚙️ 本技能遵循公共运行环境契约（最高优先级，先于本文其余内容执行）： 详见 _shared/env-contract.md，执行前先读它。
market-analysis — 市场分析报告（大盘快照版）
把市场分析页面的数据能力（指数/广度/行业/概念/资金流/标签）变成一份结构固定的报告（Markdown + PDF），落盘到前端「股票报告」页可见目录，并在聊天里回复速览。报告必含「八、市场解读与次日关注」——AI 必须基于 facts 数据撰写，禁止编造数字。
与 [[daily-review]] 的区别：daily-review 是盘后复盘（含新闻情绪、模型推理信号、次日六维研判）；本 skill 是市场快照（行情结构 + 资金流 + 板块强弱），适合盘中/盘后随时输出当日市场状态。
⚠️ 单位铁律（先查 [[quantdb-fields]]，最高优先级）
| 陷阱 | 正确口径 |
|---|---|
l2_factors.flow_* 金额是万元（2026-09 起；读入后归一为元再转亿元） | 报告统一换算亿元（脚本 _yi() 已处理） |
index_daily.amount 是万元 | 指数成交额脚本已转亿元 |
technical_indicators.pct_change = % | 涨跌家数/涨停/行业均涨幅全用它；涨停≈≥9.8%、跌停≈≤-9.8% |
index_daily.preClose 全 NULL | 指数涨跌幅由 close 序列自算（后端已处理，勿另算） |
资金流依赖 l2_factors | 最新日期可能与行情日不同步（L2 更新滞后 1 日属正常），facts 里以 trade_date 为准，滞后时在报告中声明 |
写报告时所有数字必须来自 {date}_facts.json，不得自行推算或编造。
执行流程（每次 5 步）
第 1 步：跑取数脚本（宿主机）
cd <repo>/skills/market-analysis/scripts
python3 market_analysis.py # 最新交易日；--out 自定义输出目录（默认 data/reports/market_analysis/）脚本复用后端 quantdb_feed 聚合口径，产出 {date}_facts.json（全部原始数据）+ {date}_report.md（骨架）。QuantDB 不可用时脚本报错退出——不要假装出报告，直接告诉用户数据未同步。
第 2 步：AI 撰写解读（核心增值环节）
基于 facts 在骨架的「八、市场解读与次日关注」补写四小节（每节 2-4 句，数字引用 facts）：
- 8.1 市场总览：指数涨跌结构（几涨几跌、深/创弱于上证？）、两市量能（亿，与昨日对比如 facts 有）、情绪温度（赚钱效应 %、涨跌停家数）
- 8.2 结构性机会：涨幅前列行业/概念 2-3 个 + 对应板块资金流方向（净流入板块）；10 日资金持续流入的方向
- 8.3 风险提示：净流出前列行业、跌停/炸板、指数与广度背离（如指数涨但下跌家数多）
- 8.4 次日关注：2-3 条可跟踪信号（具体板块/个股/资金/情绪阈值）
写完后通读全文：数据表与解读数字一致、无矛盾、单位统一为亿元。
第 3 步：Markdown → PDF（研报风，复用 md_to_pdf_report 管线）
# ① 复制 md 进容器（.claude 目录未挂载）
docker cp <repo>/data/reports/market_analysis/{date}_report.md quantmind:/tmp/ma_report.md
# ② 容器内转换（reportlab，封面/红涨绿跌/斑马纹表格自动生效）
docker exec quantmind bash -lc "cd /app && python3 backend/scripts/md_to_pdf_report.py /tmp/ma_report.md /tmp/ma_report.pdf"
# ③ 取回宿主机
docker cp quantmind:/tmp/ma_report.pdf <repo>/data/reports/market_analysis/{date}_report.pdf第 4 步：落盘股票报告目录（前端「股票报告」页可见）
mkdir -p <repo>/data/reports/stock_reports/市场分析
cp <repo>/data/reports/market_analysis/{date}_report.md <repo>/data/reports/stock_reports/市场分析/市场分析_{date}.md
docker cp <repo>/data/reports/market_analysis/{date}_report.pdf quantmind:/data/reports/stock_reports/市场分析/市场分析_{date}.pdf文件名固定：市场分析_{YYYY-MM-DD}.md / .pdf。
用户要求「放深度分析那里」时：额外落一份到 A股市场 分组（与个股深度分析/投研报告同列表展示，报告管理页 → A股市场 → 市场分析）：
docker exec quantmind bash -c "mkdir -p '/data/reports/stock_reports/A股市场/市场分析' && cp /tmp/ma_report.md '/data/reports/stock_reports/A股市场/市场分析/市场分析_{date}.md' && cp /tmp/ma_report.pdf '/data/reports/stock_reports/A股市场/市场分析/市场分析_{date}.pdf'"注：
A股市场/目录为容器 root 创建，宿主机无写权限，须在容器内操作（docker exec 为 root）。
第 5 步：聊天回复速览
回复用户一段 3-5 行的速览（指数、情绪、最强板块、资金动向、明日关注 1 条）+ 报告文件路径（md + PDF）。
数据能力清单（对应市场分析页面功能）
| 报告章节 | 后端数据源 | 说明 |
|---|---|---|
| 一、核心指数 | index_daily | 上证/深成/创业板/沪深300/科创50：价格/涨跌/成交额/5日趋势 |
| 二、市场广度 | daily_forward+technical_indicators | 涨跌家数/涨停跌停/两市成交额/赚钱效应/炸板率估算 |
| 三、行业板块 | sector_members 申万一级 | 31 行业均涨幅/成交额/领涨股，Top10+Bottom10 |
| 四、行业多日涨跌幅 | daily_unadjusted+sector_members | 行业 1/3/5 日累计涨幅对比（成分股中位数），看启动时点与主线持续性 |
| 五、热门概念 | sector_members 概念板块 | 概念均涨幅 Top/Bottom |
| 六、板块资金流 | l2_factors.flow_* | 1日/5日/10日 行业净流入（亿元）+主力占比 |
| 七、个股资金流 | l2_factors.flow_* | 主力净流入 Top20 / 净流出 Top10 |
| 八、标签体系 | sector_members 聚合 | 标签总数/覆盖股票/热门标签 |
多日对比解读口径（四、行业多日涨跌幅，中位数）：
1日% ≫ 3日% ≫ 5日%：行业刚启动（如种植业 +14.1/+8.4/+2.6），次日接力或退潮均有可能5日% 持续领先且 1日% 续强：主线行业（趋势延续，如林业 +10.75/+7.27/+3.11）5日% 强但 1日% 转负：退潮信号（高位滞涨）- 与「六、板块资金流 10 日净流入」交叉验证：多日强势 + 资金持续流入 = 可信主线；强势但资金流出 = 纯情绪炒作
已知边界
- 仅支持最新交易日（与市场分析页面一致），不支持历史日期回放
- 行业/概念为静态分类（
sector_members），非实时申万调整 - 资金流依赖 L2 数据日频更新；L2 未更新时对应章节为空——报告里如实标注，不填 0
- 若用户需要含新闻情绪/模型推理信号的盘后深度复盘，改用 [[daily-review]]
© qusong0627, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in skills/market-analysis of qusong0627/QuantMind.
- SKILL.md
- scripts/market_analysis.py
Open the folder on GitHubat commit 81e79e4
Compare with similar skills
Market Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Market Analysis this skillqusong0627/QuantMind | 1.7k | — | ~1k | Automated safety check: Pass | AGPL-3.0 | |
| Vc Industry Researchzebbern/claude-code-guide | 4.7k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Jev SEOAgriciDaniel/jev-seo | 543 | — | ~2.5k | Automated safety check: Notes | MIT | |
| Geo AnalysisOpenClaudia/openclaudia-skills | 713 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Find Skillsfastclaw-ai/fastclaw | 1.4k | — | ~2.3k | Automated safety check: Warn | Custom licence | |
| Latchshot Page Capturegithub/awesome-copilot | 40k | — | ~1.3k | Automated safety check: Pass | MIT |
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qusong0627/QuantMind
Queries Futu quotes, options, fundamentals and accounts and places orders through the Futu OpenAPI Python SDK, defaulting to simulated trading.
QuantMind Training Config Generator
qusong0627/QuantMind
Turns a plain-language model training request into a validated QuantMind training config file that can be imported from the Model Training page.
Tiger Brokers OpenAPI SDK
qusong0627/QuantMind
Covers the Tiger Brokers OpenAPI Python SDK for market data, stock, futures and options trading, push subscriptions, a CLI and an MCP server, defaulting to paper trading.
Tiger Brokers C++ OpenAPI SDK
qusong0627/QuantMind
Guides an agent through the Tiger Brokers OpenAPI C++ SDK for build setup, market data, orders and real-time push, defaulting to paper trading.
Tiger Brokers OpenAPI C# SDK
qusong0627/QuantMind
Guides building C# and .NET apps on the Tiger Brokers OpenAPI SDK: setup, market data, orders, accounts, options and real-time push, defaulting to paper trading.
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Questions about Market Analysis
What does Market Analysis do?
市场分析报告（大盘快照版）— 复用市场分析页面全部数据能力：核心指数、市场广度与情绪温度、行业板块/热门概念热力图、行业多日涨跌幅对比（1/3/5日）、板块资金流（1日/5日/10日）、个股主力资金 Top20、标签体系统计。用户说「市场分析」「大盘分析」「行情分析」「今天市场怎么样」「市场报告」时使用：跑取数脚本（marketanalysis.py）→ AI 基于 facts 撰写解读 →…. Market Analysis is an agent skill from qusong0627/QuantMind.
When should I use Market Analysis?
Market Analysis fits situations like: tasks that involve Market research; tasks that involve PDF.
How do I install Market Analysis in Claude Code?
Run `npx skills add qusong0627/QuantMind --skill market-analysis -a claude-code`. Or copy the skill folder (skills/market-analysis in qusong0627/QuantMind) into .claude/skills/market-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Market Analysis in Codex?
Run `npx skills add qusong0627/QuantMind --skill market-analysis -a codex`. Or copy the skill folder (skills/market-analysis in qusong0627/QuantMind) into .agents/skills/market-analysis in your project. Codex loads it when a task matches its description.
Can I use Market Analysis in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add qusong0627/QuantMind --skill market-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/market-analysis, .gemini/skills/market-analysis, .github/skills/market-analysis and .opencode/skills/market-analysis in your project.
What does Market Analysis need to run?
Going by SKILL.md and its folder, Market Analysis needs Python for the scripts in its folder and the command-line tools its instructions call (docker and python3). Our summary lists: Python 3; Docker.
Does Market Analysis access the network?
SKILL.md contains no URLs. Its commands use docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Market Analysis safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Market Analysis use?
Market Analysis is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Market Analysis use?
About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Market Analysis?
Skills that share tags, products or a category with Market Analysis: Vc Industry Research (zebbern/claude-code-guide, 4.7k stars), Jev SEO (AgriciDaniel/jev-seo, 543 stars), Geo Analysis (OpenClaudia/openclaudia-skills, 713 stars) and Find Skills (fastclaw-ai/fastclaw, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Market Analysis?
qusong0627 (a GitHub user) maintains it in qusong0627/QuantMind, which has 1,728 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on October 11, 2026.
Source: qusong0627/QuantMind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.