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uwillberichuwillberich 搜索

Agent Skill

uwillberich 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:uwillberich(uwillberich 搜索)
来源仓库:https://github.com/huangrichao2020/uwillberich
安装命令:
openclaw skills install uwillberich
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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openclaw skills install uwillberich

简介

基于市场结构与政策动向制定 A 股次日博弈策略,聚焦宏观冲击与观察名单。

  • 适用于短线交易参考,提供行业轮动与热点板块分析框架。
  • 当用户询问“A-s 是什么”时激活,输出当日复盘与次日预案要点。
  • 安装命令为 openclaw skills install uwillberich,依赖实时财经数据接口。
  • 策略非投资建议,历史表现不预示未来收益,请自行承担决策风险。

SKILL.md

name
uwillberich
description
Build next-session A-share game plans from market structure, overnight macro shocks, policy timing, and watchlist leadership. Use when the user asks what A-shares may do tomorrow, which sectors may repair first, how to read the open, or wants a reusable pre-open discretionary decision workflow.
metadata
{"openclaw":{"emoji":"📈","homepage":"https://github.com/huangrichao2020/uwillberich","requires":{"bins":["python3"]}}}

uwillberich

Author: 超超 Contact: grdomai43881@gmail.com

Overview

Use this skill for decision-oriented A-share analysis. The goal is not to explain the market mechanically, but to convert today’s tape and overnight developments into a concrete next-session plan.

Best fit:

  • next-session A-share outlook
  • likely repair sectors after a selloff
  • opening checklist for 09:00, 09:25, and 09:30-10:00
  • first-30-minute observation template for distinguishing true repair from defensive concentration
  • watchlist-based decision notes
  • distinguishing defensive leadership from true market repair
  • persistent message iteration that maps high-attention news into watchlist overlays
  • automatic event-driven stock pools that feed directly into desk reports
  • main-force capital-flow confirmation for watchlists and market-wide risk tone
  • industry-chain expansion that turns event themes into fresh stock pools
  • sentiment scoring built from breadth, sector dispersion, and capital flow

Core Workflow

  1. Gather market structure first.

- Confirm EM_API_KEY is configured before running any script. - Run scripts/fetch_market_snapshot.py for indices, breadth, and sector leaders/laggards. - Run scripts/fetch_quotes.py or scripts/morning_brief.py for the watchlist.

  1. Confirm the overnight and policy layer.

- Use primary sources first for PBOC, Federal Reserve, and other central-bank decisions. - Use high-quality news sources for geopolitics, oil, and global risk sentiment.

  1. Classify the market through three layers.

- External shock: oil, rates, U.S. equities, geopolitics - Domestic policy/liquidity: LPR, PBOC posture, macro support - Internal structure: breadth, leadership, relative strength, style rotation

  1. Build a scenario tree.

- Provide Base / Bull / Bear paths with explicit triggers and invalidations.

  1. Turn the view into an execution checklist.

- Include 09:00, 09:20-09:25, 09:30-10:00, and 14:00-14:30.

Workflow Shortcuts

  • Step 1: overnight and policy

- scripts/mx_toolkit.py preset --name preopen_policy - scripts/mx_toolkit.py preset --name preopen_global_risk

  • Step 2: board resonance

- scripts/fetch_market_snapshot.py - scripts/capital_flow.py - scripts/market_sentiment.py - scripts/mx_toolkit.py preset --name board_optical_module - scripts/mx_toolkit.py preset --name board_compute_power

  • Step 3: single-name validation

- scripts/fetch_quotes.py - scripts/mx_toolkit.py preset --name validate_inspur - scripts/mx_toolkit.py preset --name validate_luxshare

  • Step 4: event-to-chain expansion

- scripts/industry_chain.py - scripts/news_iterator.py

  • Source benchmark

- scripts/benchmark_sources.py

Decision Heuristics

  • Prefer sectors that resisted best in a weak tape over sectors that merely fell the most.
  • Treat defensive leadership as separate from broad market repair.
  • On monthly LPR days, use the 09:00 release as a hard branch in the plan.
  • A repair thesis is stronger when leadership broadens from core growth names into secondary names and brokers.
  • A rebound without breadth is usually just a technical bounce.

Scripts

Use these scripts before writing the decision note:

  • scripts/fetch_market_snapshot.py

- Pulls Eastmoney index and sector breadth data.

  • scripts/fetch_quotes.py

- Pulls Tencent quote snapshots for user-specified names.

  • scripts/morning_brief.py

- Builds a markdown brief from the default watchlists in assets/default_watchlists.json.

  • scripts/capital_flow.py

- Pulls the whole-market main-force snapshot plus top inflow/outflow names and intersects them with watchlists.

  • scripts/market_sentiment.py

- Scores the tape as 抱团行情, 科技修复, 修复扩散, or 分化偏弱 using breadth, sector dispersion, and capital flow.

  • scripts/opening_window_checklist.py

- Builds a first-30-minute observation sheet with time gates, group scoreboards, and watchlist signal tables.

  • scripts/industry_chain.py

- Uses event summaries and desk groups to expand into industry-chain stock pools through live MX stock screens.

  • scripts/news_iterator.py

- Continuously polls public RSS feeds, classifies high-attention events, maps them into watchlist overlays, and writes dynamic event-driven stock pools.

  • scripts/runtime_config.py

- Loads local runtime credentials, enforces the required EM_API_KEY, and prints the Eastmoney application URL when it is missing.

  • scripts/mx_toolkit.py

- Calls the live Meixiang / Eastmoney APIs for news search, stock screening, structured data queries, and preset desk workflows.

  • scripts/benchmark_sources.py

- Benchmarks public and MX-enhanced sources before you decide what to trust as the primary feed.

  • scripts/install_news_iterator_launchd.py

- Installs the news iterator as a launchd job on macOS for long-running local polling.

  • scripts/smoke_test.py

- Verifies that the bundled scripts and public endpoints are working.

References

Read only what you need:

  • references/methodology.md

- Trading philosophy, decision tree, and timing gates.

  • references/data-sources.md

- Source map for official and market data endpoints.

  • references/persona-prompt.md

- Decision-maker persona for desk-style answers.

  • references/trading-mode-prompt.md

- Time-boxed opening workflow for the next A-share session.

  • references/opening-window-template.md

- A reusable first-30-minute decision template.

  • references/cross-cycle-watchlist.md

- How to use the cross-cycle core stock pool without turning it into an unfocused mega-list.

  • references/event-regime-watchlists.md

- How to use war-shock and energy-spike watchlists as temporary overlays.

  • references/message-iterator.md

- How to run the persistent RSS iterator, generate event-driven stock pools, and feed them into the desk workflow.

  • assets/mx_presets.json

- Preset MX workflows for policy scan, global-risk scan, board resonance, and single-name validation.

  • assets/industry_chains.json

- Theme-to-chain map for optical module, compute power, semiconductors, robotics, oil and coal, and IDC/power-cost overlays.

Output Standard

Default to a compact desk-style answer:

  • one-paragraph decision summary
  • Base / Bull / Bear path
  • most likely repair sectors
  • defensive-only sectors
  • opening checklist
  • do / avoid

Required Credential

  • EM_API_KEY is mandatory for this skill.
  • Apply here: https://ai.eastmoney.com/mxClaw
  • After opening the link, click download and you will see the key.
  • Official site: https://ai.eastmoney.com/nlink/
  • Store it in ~/.uwillberich/runtime.env

适合场景

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能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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