mcpField
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uzi

uzi

github.com/wbh604Data & databases7.4k124 installsUpdated 2w ago
Repository

About uzi

UZI is an entry point for agent-based stock research, routing requests to focused workflows or command-specific files. It covers deep analysis, investor reviews, A-share short-term trading, and trap detection, with commands for running reports.

Key features

  1. 01Routes requests to matching analysis skills
  2. 02Supports valuation, catalysts, and earnings analysis
  3. 03Supports investor panels and persona reviews
  4. 04Analyzes LHB seats and A-share short-term trading
  5. 05Provides local and remote report commands

Use cases

  1. 01Prepare stock research or valuation reports
  2. 02Compare investor perspectives on a stock
  3. 03Analyze A-share LHB activity and short-term trading
  4. 04Check a stock for suspicious promotion

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/wbh604/uzi-skill --skill uzi

After installing, type/uziin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

.gitattributes
.env.example
.gitignore
.version-bump.json
CODE_OF_CONDUCT.md
GEMINI.md
CONTRIBUTORS.md
CODEX.md
CLAUDE.md
AGENTS.md
LICENSE
INSTALL-HERMES.md
README_EN.md
RELEASE-NOTES.md
.claude-plugin/
marketplace.json
plugin.json
.codex/
INSTALL.md
.cursor-plugin/
plugin.json
.github/
PULL_REQUEST_TEMPLATE.md
.github/ISSUE_TEMPLATE/
feature_request.md
bug_report.md
platform_support.md
.github/workflows/
tests.yml
.opencode/
INSTALL.md
agents/
investor-panel.md
commands/
ai-readiness.md
catalysts.md
comps.md
analyze-stock.md
dcf.md

Details

From the project README

UZI Skill Root

This root file is the top-level entry for agents that expect a SKILL.md at the repository root.

Use the narrowest matching workflow:

  • Full stock research, valuation, IC memo, initiation, catalysts, earnings review, or HTML report: read skills/deep-analysis/SKILL.md.
  • Investor jury, "which investors would buy", panel-only voting, or persona review: read skills/investor-panel/SKILL.md.
  • Hot-money, LHB, seat recognition, or A-share short-term trader analysis: read skills/lhb-analyzer/SKILL.md.
  • Trap detection, pump-and-dump checks, "teacher/group/friend recommended this stock", or safety review: read skills/trap-detector/SKILL.md.
  • Command-specific requests: read the matching file under commands/.

Default Execution

From the repository root:

python3 run.py <ticker> --no-browser

For remote/mobile reports:

python3 run.py <ticker> --remote

For a single investor school, such as A-share hot-money:

python3 run.py <ticker> --school F --no-browser

Agent Rules

  1. Treat scripts as data and scoring tools, not as final analyst judgment.
  2. Do not invent numbers. Use script outputs, cached JSON, or current public evidence.
  3. For serious deep-analysis requests, complete the agent review loop described in skills/deep-analysis/SKILL.md before final report assembly.
  4. For hot-money analysis, apply LHB seat matching and is_in_range() before making a short-term judgment.
  5. For trap detection, scan all eight signals and include concrete evidence when risk is non-trivial.
  6. For report template or UI changes, update tests, version metadata, and release notes together.

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