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Updated 3mo ago

by realnaka

alphaloop

人机投研闭环:你出方向,AI 帮你查证/选股/记账,决策权归人。A human-agent investment-research operating model as an installable skill suite.

  • Multi-agent — Targets three or more agents
Works with
  • Claude
  • Codex
  • Cursor

20 GitHub stars (20)

Steady at 20 stars — no new stars in the 20 days since Sep 26.

  • 7 skills (7 skills found in its SKILL.md files)
  • 9 forks (9 forks)
  • 3mo ago last update (Last updated 3mo ago)

Install

Skills CLI

npx skills add realnaka/alphaloop

Asks which skills and agents to install. Just one: npx skills add realnaka/alphaloop --skill alphaloop — add -g for every project.

Claude Code

git clone https://github.com/realnaka/alphaloopcp -r "alphaloop" ~/.claude/skills/alphaloop

Copies the alphaloop skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.

Plugin

/plugin marketplace add realnaka/alphaloop

Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.

Skills can run code on your machine — read the SKILL.md first.

What it does

In the author's own words, from each skill's SKILL.md.

  • alphaloop

    人机投研协作的操作系统——交易员出方向,Agent 出证据,决策权归人。它是一个编排器:把交易员抽象出的「逻辑框架」默认降级为待验证假设,依次调度 claim-verification(验真)、stock-data-fetch(取实时行情)、strategic-materials(产业链框架)、openorder(记忆/回写)、trade-journal(反馈闭环)、agent-tool-escalation(工具纪律),最后交还核验矩阵 + 个股清单 + 风险提示给交易员决策。当用户给出投资逻辑/趋势判断/受益方向、转发研报或小作文让你验证、问某公司/行业/标的、讨论估值或卡脖子或产业链、要选股或对比、要记一笔交易时,使用本 skill 串起整套流程。即使用户没点名"工作流",只要进入投研语境就应当按这套分工与铁律执行。

    SKILL.md on GitHub (opens in a new tab)
  • agent-tool-escalation

    Agent 工具调用失败的复盘与升级阶梯。当用户提到 "工具失败"、"403 / 404 抓不到"、"clone 不动"、"为什么不直接用 gh"、"toolcalling issue"、"工具调用问题"、"如何避免(同样的失败)"、"工具升级"、"escalation"、复盘 agent 工具使用反模式时使用。提供完整工具阶梯参考、历史失败案例、AskQuestion 之前的自检三问。

    skills/agent-tool-escalation/SKILL.md on GitHub (opens in a new tab)
  • claim-verification

    核实二手信息真伪的方法论——把推文/小作文/新闻/研报/其他 AI 的结论降级为"假设",拆成原子声明,用一手源逐条验真并打标签。当用户提到 "核实/查证/验证一下"、"这个人说的对吗"、"哪些需要验证"、"小作文"、"推文/X/Twitter 说"、"别的 AI 说"、"fact-check"、"多头/空头 thesis 核验"、"消息靠谱吗"、转发一段新闻/研报/截图让你判断真假时使用。也用于投资/公司关系/技术声明的真伪判断。

    skills/claim-verification/SKILL.md on GitHub (opens in a new tab)
  • openorder

    OpenOrder — Order out of investment chaos. An AI-maintained investment research wiki that compounds your edge across every conversation. Triggers automatically on: (1) any stock ticker (US/HK/A-share/TW/JP) or company name; (2) industry/theme discussions (semiconductors, AI infra, photonics, HBM, energy, biotech, crypto, etc.); (3) investment frameworks/methodology (moats, chokepoints, valuation,…

    skills/openorder/SKILL.md on GitHub (opens in a new tab)
  • stock-data-fetch

    Fetch multi-market financial data — US (FMP→Finnhub), A/HK (Tencent→Sina), crypto (OKX→Hyperliquid), commodities (Hyperliquid+Finnhub), news (Marketaux), backup (Longbridge). Battle-tested in restricted network environments.

    skills/stock-data-fetch/SKILL.md on GitHub (opens in a new tab)
  • strategic-materials

    战略原材料/大宗商品的产业链结构化分析框架(五层漏斗)。判断「上游资源是否国产掌控 → 中游技术是否国产替代 → 下游需求是否 AI 等高景气」,并落到受益标的。当用户提到某原材料/金属/矿产「暴涨/暴跌/短缺/紧缺/被卡脖子/战略储备/出口管制」,或讨论锂、钴、镍、稀土、萤石、石墨、磷矿、硫磺、高纯石英砂、硅、锗、镓、锑、钨、铀、铜、铝、铂族金属等的供需/资源掌控/国产替代/AI 关联/投资标的时使用。也用于「某原材料突然火了,帮我看看产业链格局/谁受益」「这波涨价是结构性还是短期」「国产替代到哪一步了」类问题。

    skills/strategic-materials/SKILL.md on GitHub (opens in a new tab)
  • trade-journal

    把交易/持仓截图或口述结构化录入「交易日志」——记下标的、方向、股数、成本价、建仓日、账户,并当场确认每笔的「来源框架」(framework/直觉/消息/未归因),写入独立的交易日志表(默认本地 CSV/Markdown,飞书/Notion 等为可选适配器),并联动 openorder thesis-ledger 做归因与盈亏。当用户发券商/持仓/成交截图、说"记一笔/记账/录入交易/建仓/加仓/减仓/平仓/这是我的持仓""帮我把这单记下来""更新持仓"时使用。配合 openorder(归因+thesis-ledger)、stock-data-fetch(现价算盈亏)、claim-verification(截图数字不臆造)。

    skills/trade-journal/SKILL.md on GitHub (opens in a new tab)

Review before you install

A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.