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trade-performance-coach

Review closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns. Use after trader-memory-core and signal-postmortem have produced records, or when the user asks for a post-trade coach, risk-manager style review, rule-adherence review, next-session operating rules, or psychology-aware trading behavior feedback. This skill does not provide buy/sell advice, therapy, or broker execution.

80

Quality

100%

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-organized process-review skill body: concise, executable, with a sequenced workflow and a validation fallback, and a clean overview-to-reference disclosure structure. All referenced bundle files are present.

DimensionReasoningScore

Conciseness

The body is lean and assumes competence: it does not explain what a trade, stop, or risk plan is, and each section (Overview, When to Use, Inputs, Workflow, Output, Guardrails) earns its place without filler.

3 / 3

Actionability

Provides an executable `python3 .../review_trade_performance.py` command with flags, a concrete yaml input schema, an explicit verdict table, and enumerated next-session operating rules — copy-paste ready rather than abstract.

3 / 3

Workflow Clarity

A clear 7-step sequence with an explicit validation checkpoint: incomplete input defaults to REVIEW_REQUIRED/journal_only mode, and every report ends in a human decision gate with allowed actions.

3 / 3

Progressive Disclosure

The body is an overview that signals one-level-deep references ('Read these selectively') to real bundle files — all five references, the schema, and the script exist — with no nested indirection.

3 / 3

Total

12

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, third-person description that states concrete capabilities, provides explicit natural-language triggers, and carves out a distinct non-advice niche. It does not pad or over-claim.

DimensionReasoningScore

Specificity

Lists multiple concrete review actions — 'process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns' across 'closed trades, partial exits, and monthly trade aggregates' — matching the top anchor.

3 / 3

Completeness

Explicitly answers both what (review for adherence, discipline, execution, behavior) and when ('Use after trader-memory-core and signal-postmortem have produced records, or when the user asks for a post-trade coach...'), satisfying the explicit-trigger bar.

3 / 3

Trigger Term Quality

Natural user phrasing is well covered: 'post-trade coach', 'risk-manager style review', 'rule-adherence review', 'next-session operating rules', 'psychology-aware trading behavior feedback' are all things a trader would actually say.

3 / 3

Distinctiveness Conflict Risk

Tied to upstream skills trader-memory-core and signal-postmortem and bounded by 'does not provide buy/sell advice, therapy, or broker execution', giving it a clear niche unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
tradermonty/claude-trading-skills
Reviewed

Table of Contents

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