skillZs
★ LIVE SKILL TAGS ★
>>> LIVE SKILLS INDEX <<<
* OPEN SOURCE *
NO LOGIN, NO TRACKING
※ REAL INSTALL DATA ※
← back to all skills
wbh604/uzi-skill114 installs

uzi

A-share, Hong Kong, and US stock analysis skill for deep research, quick scans, investor panel review, hot-money/LHB analysis, trap detection, valuation, IC memos, and Bloomberg-style HTML reports.

How do I install this agent skill?

npx skills add https://github.com/wbh604/uzi-skill --skill uzi
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubfail

    The skill facilitates in-depth financial analysis but implements several high-risk patterns, primarily unverified remote code execution. It provides an 'install-hermes.sh' script via a piped bash command (curl | bash) and frequently instructs the AI agent to execute arbitrary Python code blocks for system updates and data backfilling. Furthermore, it incorporates an external data source domain flagged as a phishing risk and automates the download of third-party binaries like Chromium and Cloudflared. The ingestion of qualitative data from web searches also creates a significant surface for indirect prompt injection.

  • Socketwarn

    5 alerts: gptAnomaly, gptSecurity

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

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.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/wbh604/uzi-skill/uzi">View uzi on skillZs</a>