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 contrarian-setup-gategit 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/contrarian-setup-gate)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/contrarian-setup-gate"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/contrarian-setup-gate/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/contrarian-setup-gate"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/contrarian-setup-gate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 102 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00069 | $0.02296 |
| Opus 5 | $0.00034 | $0.01148 |
| Sonnet 5 | $0.00014 | $0.00459 |
| Haiku 4.5 | $0.00007 | $0.00230 |
Grade A, and why
contrarian-setup-gate 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Contrarian Setup Gate
Overview
Synthesize the outputs of Jason Shapiro's 3-step contrarian process into one actionable state. cot-contrarian-detector (step 1) flags crowded positioning, news-reaction-failure-analyzer (step 2) tests whether the market failed to react to news favorable to the crowd, and technical-analyst's contrarian-confirmation mode (step 3) confirms weekly price-action evidence of a reversal. This gate reads those three report JSONs and applies an explicit, exhaustively-tested precedence rule set to produce one setup_status, with a fail-closed reason attached to every input that could not be confirmed.
The gate does no fetching, no API calls, and no computation beyond validating and combining the three inputs it is given. It is the pipeline's synthesis center, not a data source.
When to Use
- After running cot-contrarian-detector (always required -- this is the pipeline's entry point)
- Mid-pipeline, with only the detector report, to see the CROWDED state and what steps remain
- After running news-reaction-failure-analyzer, to see whether the setup advances to WATCHING_PRICE or is REJECTED
- After running technical-analyst's contrarian-confirmation mode, to see whether the setup reaches READY_FOR_PLAN
- Before handing a symbol's direction and stop level to a position-sizing skill
Prerequisites
- Python 3.9+
- No API keys -- this skill is fully offline
- A cot-contrarian-detector JSON report for the symbol under evaluation (required)
- Optionally, a news-reaction-failure-analyzer JSON report for the same symbol (step 2)
- Optionally, a technical-analyst contrarian-confirmation JSON report for the same symbol (step 3)
Workflow
Step 1: Run the Gate
python3 skills/contrarian-setup-gate/scripts/run_contrarian_setup_gate.py \
--symbol B6 \
--detector-json reports/cot_crowding_2026-07-12.json \
--news-json reports/nrf_B6_2026-07-12.json \
--price-action-json reports/ta_confirmation_B6_2026-07-12.json \
--as-of 2026-07-15 \
--output-dir reports/
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.
- references/gate-decision-table.md 21 KB
- requirements.txt 70 B
- scripts/gate_logic.py 40 KB runs code
- scripts/run_contrarian_setup_gate.py 16 KB runs code
- scripts/tests/conftest.py 226 B runs code
- scripts/tests/test_gate_logic.py 52 KB runs code
- scripts/tests/test_run_contrarian_setup_gate.py 42 KB runs code
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 · 112 lines · 69 tokens per session scan A 7ef14d9fcd01
contrarian-setup-gate is a skill published in the GitHub repository tradermonty/claude-trading-skills (2,820 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 2,296 once invoked, about $0.0003 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.