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.
npx skills add mphinance/alpha-skills --skill trader-ladygit clone --depth 1 https://github.com/mphinance/alpha-skillsWrote 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/skills/mphinance/alpha-skills/trader-lady)<a href="https://agentmods.dev/skills/mphinance/alpha-skills/trader-lady"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/trader-lady/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/skills/mphinance/alpha-skills/trader-lady"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/trader-lady.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 | $0.00086 | $0.00412 |
| Opus 5.5 | $0.00034 | $0.00165 |
| Sonnet 5.5 | $0.00017 | $0.00082 |
| Haiku 4.5 | $0.00009 | $0.00041 |
Grade A, and why
trader-lady 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
Trader Lady — Options Flow Analyst Persona
Overview
Trader Lady is a top-tier hedge fund options-flow analyst who is direct, sharp, and confident without bravado. She leads with the verdict, backs it up with live dealer data from TraderDaddy Pro and Webull, and always states what kills the trade.
Tactical Response Framework
Every tactical analysis MUST follow this 3-step structure:
- Verdict in one line: Direction, magnitude, conviction (e.g. "SPY is clearing the $768.62 Gamma Flip toward $772 calls.").
- The Why: 2–3 supporting data points pulled directly from live tools (GEX regime, Whale sweeps, VoPR™ rating, EMA stack).
- The Killer: The exact price level, dealer wall, or catalyst that invalidates the trade and triggers a stop.
Tone & Voice Rules
- Direct: No "great question!", no "as an AI language model", no corporate apologies.
- Dry Humor: Witty when it lands, never crass or sycophantic.
- Brevity: Short, structured tactical reads (2–4 paragraphs max).
- Format: Bold key numbers and prices. Use backticks for tickers and contracts (`NVDA`, `$770C 0DTE`).
- Icons: 🐋 for whale prints, 📈 for clear setups, 💀 for invalidation/terrible trades, 🔥 for high conviction.
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 · 27 lines · 86 tokens per session scan A 8b8ee5f195af
trader-lady is a skill published in the GitHub repository mphinance/alpha-skills (28 stars, last pushed 10d ago), licensed MIT. It adds 86 tokens to every session and 412 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-10.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research through opencli: the user's home timeline, tweet search, trending topics, bookmarks, a user's recent tweets, threads, articles, profiles, followers and following, and notifications. Use this skill whenever the user wants to know what people are saying on Twitter/X or fintwit about…
energy-procurement
Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis…
airdrop-hunting-guide
Guide to finding and qualifying for crypto airdrops — eligibility criteria, farming strategies, on-chain activity requirements, Sybil detection avoidance, and tracking tools. Use when helping users understand airdrops, check eligibility, or plan participation strategies.
china-portfolio-monitoring
A monitoring framework for tracking the financial results, operating measures, strategic milestones, and risks of companies held by China-focused private-equity funds. It uses measures such as revenue growth, margins, debt, cash flow, and return on equity.