Claude Trading Skills is a collection of Claude Code workflows for individual investors who want structured market analysis, charting, economic-calendar review, screening, trade planning, journaling, and risk management. It is designed for people using long-term investing, ETFs, dividend stocks, and disciplined swing trading, and the catalogue entries package these workflows as skills, agents, commands, settings, and instructions.
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 tradermonty/claude-trading-skills --skill cot-contrarian-detectorgit clone --depth 1 https://github.com/tradermonty/claude-trading-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/tradermonty/claude-trading-skills/cot-contrarian-detector)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/cot-contrarian-detector"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/cot-contrarian-detector/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/tradermonty/claude-trading-skills/cot-contrarian-detector"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/cot-contrarian-detector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00167 | $0.01966 |
| Opus 5 | $0.00084 | $0.00983 |
| Sonnet 5 | $0.00033 | $0.00393 |
| Haiku 4.5 | $0.00017 | $0.00197 |
Grade A, and why
cot-contrarian-detector 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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
COT Contrarian Detector
Overview
Implements step 1 of Jason Shapiro's COT (Commitment of Traders) contrarian process: detect when large speculators are crowded into one side of a futures market. Crowded positioning is a precondition for a contrarian trade, not a trade signal — a market only becomes tradable once crowding is confirmed by a news failure and price-action reversal (steps 2-3), which this skill guides the user through manually.
Core thesis (Shapiro): Large speculators (hedge funds, CTAs, momentum traders) tend to be maximally positioned at trend exhaustion, not trend inception. When they are already crowded onto one side, the next big move is statistically more likely to run them over than to reward them further. Fade the speculators, not the commercials (commercials hedge for structural reasons and are not a crowd-psychology signal).
When to Use This Skill
English:
- "What markets are the speculators crowded into right now?"
- "Run a COT report analysis" / "Show me COT positioning extremes"
- "Is anyone 'trapped' in gold / the dollar / bonds right now?"
- User wants to find contrarian futures setups
- User asks for a Jason Shapiro-style COT screen
Japanese:
- 「COTレポートで買われすぎ・売られすぎのポジションを調べて」
- 「投機筋が偏っている市場は？」
- 「ジェイソン・シャピロ式の逆張り分析をして」
Do NOT use when:
- The user wants a trade signal right now — crowding alone is not actionable; see Guardrails below
- The user is asking about individual equities — COT reports cover CFTC futures markets only (indices, rates, FX, metals, energy, agri, crypto), not single stocks
Prerequisites
- FMP API Key: Required. Set
FMP_API_KEYenvironment variable or pass--api-key. COT endpoints require an FMP Premium+ plan — a free-tier key will not have access. - Python 3.9+ with
requestsinstalled. - API Budget: One call per market (23 for
--core, up to ~65 for the full universe), plus one call for the market list when neither--symbolsnor--coreis given.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago First seen · 164 lines · 167 tokens per session scan A 3f3300b1d5b8
cot-contrarian-detector is a skill published in the GitHub repository tradermonty/claude-trading-skills (2,813 stars, last pushed today), licensed MIT. It adds 167 tokens to every session and 1,966 once invoked, about $0.0008 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 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.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.
reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.
vectorbt
High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics.