UZI-Skill is a collection of coding-agent skills for analyzing individual stocks across Chinese, Hong Kong, and United States markets using public data, investor viewpoints, quantitative rules, and institutional analysis methods. It is for users who want an agent to produce detailed stock-analysis reports. The catalogue entries are the commands, skills, instructions, plugin, agent, and hook that provide this workflow in supported coding agents.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/wbh604/UZI-SkillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/wbh604/uzi-skill/initiate)<a href="https://agentmods.dev/commands/wbh604/uzi-skill/initiate"><img src="https://agentmods.dev/badge/commands/wbh604/uzi-skill/initiate/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/wbh604/uzi-skill/initiate"><img src="https://agentmods.dev/badge/commands/wbh604/uzi-skill/initiate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.00325 |
| Opus 5 | $0.00013 | $0.00162 |
| Sonnet 5 | $0.00005 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
initiate scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- initiate — 100% identical, 0 lines differ
What it actually says
/initiate <股票代码>
按照 JPMorgan / Goldman / Morgan Stanley 首次覆盖报告格式，生成一份完整的 initiating coverage。
工作流
- 全量采集（
run_real_test.py <ticker>） - 计算 DCF + Comps (dim 20)
- 调用：
from lib.research_workflow import build_initiating_coverage report = build_initiating_coverage(features, raw, dcf, comps) - 输出六个标准章节：
- I. Executive Summary — 推荐评级 / 目标价 / 空间 %
- II. Investment Thesis — 3-5 条核心看多支柱
- III. Valuation Bridge — DCF + Comps + Blended
- IV. Key Risks — 5 条风险 + 严重度
- V. Financial Snapshot — 5 年历史 ROE/营收/净利
- VI. Coverage Universe Positioning — 分析师覆盖密度
评级规则
- Upside ≥ 25% → 买入 (Overweight)
- 10-25% → 增持 (Outperform)
- -10-10% → 持有 (Neutral)
- < -10% → 减持 (Underperform)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 33 lines · 26 tokens per session scan A 03aa147e31e4
initiate is a command published in the GitHub repository wbh604/UZI-Skill (6,820 stars, last pushed 5d ago), licensed MIT. It adds 26 tokens to every session and 325 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
valuation-methods
Valuation methods analysis — multiples, DCF inputs, PEG integration, valuation assumption extraction.
merit-reconcile
Preview or check the status of Stripe → Merit payout reconciliation (read-only).
audit-checklist
Perform an internal audit, review controls, or prepare for an external financial audit.
scan
Scan AWS account for cost optimization.
audit
Scan for non-kernel money math. Rebuild critical flows as JournalEntrys. Replay and prove. Complements /ledger-verify.
finops-status
Orientation — say where an opportunity or assignment sits in the five-step FinOps lifecycle and what unlocks next. Useful when a record has no active stage: an opportunity while its assignments do the work, an assignment whose plan has not been approved yet, or a rejected or archived assignment. Read-only; mutates…