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 residual-edge-analyzergit 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/residual-edge-analyzer)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/residual-edge-analyzer"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/residual-edge-analyzer/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/residual-edge-analyzer"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/residual-edge-analyzer.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 | $0.00133 | $0.01235 |
| Opus 5.5 | $0.00053 | $0.00494 |
| Sonnet 5.5 | $0.00027 | $0.00247 |
| Haiku 4.5 | $0.00013 | $0.00123 |
Grade A, and why
residual-edge-analyzer 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 1mo 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Residual Edge Analyzer
Overview
Test whether a strategy's apparent performance survives explicit comparison with predeclared baseline return series. Produce an auditable JSON artifact and a concise Markdown report without fetching data or changing trading exposure.
Treat this as a falsification gate after backtest-expert, not as trade authorization.
Prerequisites
- Use Python 3.9+.
- Prepare one CSV containing an ISO date, strategy return, and every baseline return on the same row.
- Prepare a JSON specification following the input contract.
- Supply actual period returns. Do not substitute CAGR, Sharpe, cumulative P&L, or other summary metrics.
Workflow
1. Define the question before inspecting results
State the claimed independent edge in one sentence. Select a primary baseline that is a plausible simple copy of the strategy, then select at least one alternate baseline model.
Record these declarations in the config:
baseline_selection: predeclaredstrategy_return_basisandbaseline_return_basis: bothgrossor bothnetanalysis_scope:out_of_sample,live, orin_sampleuniverse_data:point_in_time,current_constituents, ornot_applicable
Every declaration is mandatory for a decision-grade verdict. Omitting one is treated as
undeclared, not as benign, and drops the report to REVIEW_REQUIRED. not_applicable
exists so that a baseline with no universe membership can be declared explicitly rather
than left blank.
Do not choose a baseline because it gives the preferred residual result.
2. Validate the return-series contract
Require:
- unique ISO dates;
- finite numeric returns greater than -100%;
- identical frequency and cost basis across strategy and baselines;
- point-in-time membership for same-universe equal-weight or momentum baselines;
- regime labels defined independently of the loss periods being explained.
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.
- 1mo ago Changed 13fd8e02dfc7
- 1mo ago First seen · 127 lines · 133 tokens per session scan A fc5a10133672
residual-edge-analyzer is a skill published in the GitHub repository tradermonty/claude-trading-skills (3,403 stars, last pushed 2d ago), licensed MIT. It adds 133 tokens to every session and 1,235 once invoked, about $0.0005 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 2026-09-03.
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