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/earnings-preview)<a href="https://agentmods.dev/commands/wbh604/uzi-skill/earnings-preview"><img src="https://agentmods.dev/badge/commands/wbh604/uzi-skill/earnings-preview/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/earnings-preview"><img src="https://agentmods.dev/badge/commands/wbh604/uzi-skill/earnings-preview.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 | $0.00042 | $0.00834 |
| Opus 5 | $0.00021 | $0.00417 |
| Sonnet 5 | $0.00008 | $0.00167 |
| Haiku 4.5 | $0.00004 | $0.00083 |
Grade A, and why
earnings-preview 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 9d 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.
What it actually says
/earnings-preview <股票代码>
公司披露季报之前的前瞻预览（earnings preview）。与 /earnings（财报后 beat/miss 解读）互为镜像：
/earnings 看"已经发生了什么"，/earnings-preview 看"接下来该盯什么、会怎么动"。
适配 A股 / 港股 / 美股个股，行业观察指标与隐含波动按市场自适应。
工作流
- 采集数据（22 维），一致预期优先取
6_research。 - 调用：
from lib.tier1.earnings_preview import build_earnings_preview result = build_earnings_preview(features, raw_data) - 一致预期 / 历史财报日股价反应 / 期权隐含波动若标注「需 web 补充」，用 web 搜索补全后再成稿。
输出
- 一致预期对照表：EPS / 营收 / 卖方目标价 vs 现状（来源标注；
6_research拿不到的标「需 web 补充」） - 行业观察指标：按行业分类（SaaS→ARR/NRR、零售→同店、工业→在手订单、金融→NIM、医药→放量；A 股本土：白酒→动销、光模块→出货、新能源→装机）
- Bull / Base / Bear 三情景：营收/EPS 区间 + 触发条件 + 历史财报后股价反应（基于历史营收增速 + 毛利率趋势）
- 催化剂清单：3-5 个决定股价反应的看点（含 whisper number 提示）
- 预期波幅 implied move：
- A 股个股多数无期权 → 用历史财报日波动代替（年化波动 ÷ √252 近似单日）
- 美股 / 港股 → 可用财报到期 ATM straddle 反推期权隐含波动（需 web 补充期权链）
展示示例
中际旭创 (300308.SZ) · A股 · 光模块 · 预览季度≈2026 Q2
一致预期：
EPS 6.2 (YoY +37.8%) · 来源 6_research
营收 348 亿 (YoY +45%) · ⚠️ 无一致预期 → 3yCAGR 外推，需 web 补充
卖方目标价 ¥150（覆盖 28 家 / 买入率 90%）
行业观察指标（光模块）：800G/1.6T 出货量 · 高端占比 · 毛利率 · 大客户能见度
三情景（营收增速 / EPS）：
🟢 Bull +60.5% / 6.94 触发：量价齐升 + 上修指引
⚪ Base +52.5% / 6.20 触发：基本符合，指引维持
🔴 Bear +44.5% / 5.27 触发：不及共识 / 毛利受压
预期波幅：A 股无个股期权 → 历史财报日 ±3.4%（年化波动 55% 近似）
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.
- 9d ago First seen · 52 lines · 42 tokens per session scan A 0ed7aed2ce9f
earnings-preview is a command published in the GitHub repository wbh604/UZI-Skill (6,804 stars, last pushed 4d ago), licensed MIT. It adds 42 tokens to every session and 834 once invoked, about $0.0002 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.
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…
audit
Scan for non-kernel money math. Rebuild critical flows as JournalEntrys. Replay and prove. Complements /ledger-verify.