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 trade-performance-coachgit 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/trade-performance-coach)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/trade-performance-coach"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/trade-performance-coach/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/trade-performance-coach"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/trade-performance-coach.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 | $0.00097 | $0.02112 |
| Opus 5.5 | $0.00039 | $0.00845 |
| Sonnet 5.5 | $0.00019 | $0.00422 |
| Haiku 4.5 | $0.00010 | $0.00211 |
Grade A, and why
trade-performance-coach 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- trade-performance-coach — 100% identical, 15 lines differ
How it starts
The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trade Performance Coach
Overview
Trade Performance Coach reviews recorded trade outcomes and journal evidence to help a human trader improve their decision process. It converts closed-trade records, postmortem findings, risk rules, and optional market-regime context into an evidence-based coaching report covering:
- process adherence
- risk discipline
- execution quality
- possible trading-behavior patterns
- next-session operating rules
- coach questions for reflection
This skill is intended to fill the support role that a risk manager, desk lead, or trading coach might provide in a professional trading environment. It is strictly a process-review skill: it never recommends entering, exiting, buying, selling, shorting, holding, or sizing a specific security.
When to Use
Use this skill when any of the following are true:
- A trade has been closed and the user wants a post-trade coaching review.
- A partial close occurred and the user wants to inspect sizing, stop, or exit behavior.
- The user has
trader-memory-corethesis records andsignal-postmortemfindings and wants next-session operating rules. - The user wants a monthly review of recurring process, risk, execution, or behavior patterns.
- The user asks for a risk-manager style review of their own recorded trades.
- The user asks whether a loss was a process error, execution error, market environment issue, or acceptable variance.
- The user wants possible FOMO, revenge-trade, overconfidence, hesitation, stop-moving, or size-creep patterns flagged with evidence.
When Not to Use
Do not use this skill to:
- Pick stocks or rank trade candidates.
- Approve or reject a live trade as financial advice.
- Place orders or draft broker instructions.
- Provide therapy, mental-health diagnosis, or personality assessment.
- Infer private psychological traits beyond the trade evidence supplied.
- Shame the user for losses or rule violations.
- Replace
trader-memory-core; this skill consumes journal/thesis records and produces coaching findings.
What ships with it
16 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.
- assets/performance_coach_report.schema.json 5.1 KB
- references/behavior-tags.md 3.2 KB
- references/hermes-integration.md 1.5 KB
- references/output-contract.md 2.1 KB
- references/review-framework.md 3.6 KB
- references/risk-review-checklist.md 1.9 KB
- requirements.txt 123 B
- scripts/review_trade_performance.py 31 KB runs code
- scripts/tests/fixtures/incomplete_record.json 254 B
- scripts/tests/fixtures/monthly_aggregate_revenge_pattern.json 878 B
- scripts/tests/fixtures/partial_close_stop_moved.json 997 B
- scripts/tests/fixtures/risk_data_missing_no_size_creep.json 880 B
- scripts/tests/fixtures/single_trade_clean_loss.json 970 B
- scripts/tests/fixtures/single_trade_premature_exit.json 1020 B
- scripts/tests/fixtures/single_trade_rule_violation_loss.json 1.0 KB
- scripts/tests/test_review_trade_performance.py 11 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.
- 1mo ago Changed · +15 lines f4f3bfd12d4a
- 1mo ago First seen · 255 lines · 97 tokens per session scan A fab5075390be
trade-performance-coach is a skill published in the GitHub repository tradermonty/claude-trading-skills (3,373 stars, last pushed yesterday), licensed MIT. It adds 97 tokens to every session and 2,112 once invoked, about $0.0004 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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