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tradermonty

Edge Strategy Reviewer skill

Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism. Use when strategy_drafts/*.yaml exists and needs quality gate before pipeline export. Outputs PASS/REVISE/REJECT verdicts with confidence scores.

$npx skills add tradermonty/claude-trading-skills --skill edge-strategy-reviewer
View this skill on GitHubtradermonty/claude-trading-skills/skills/edge-strategy-reviewer/SKILL.md
Pack stars
3,747
Pack installs
254k
Alyn Score
72/99
Updated
2 h ago
License
MIT
– views – installs via Alyn

Install Edge Strategy Reviewer

Pick your agent. Every command is ready to paste.

$npx skills add tradermonty/claude-trading-skills --skill edge-strategy-reviewer

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads edge-strategy-reviewer when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the edge-strategy-reviewer skill”. In Codex, type $edge-strategy-reviewer.

The skill itself

SKILL.md

FolderGitHub

Edge Strategy Reviewer

Deterministic quality gate for strategy drafts produced by edge-strategy-designer.

When to Use

  • After edge-strategy-designer generates strategy_drafts/*.yaml
  • Before exporting drafts to edge-candidate-agent via the pipeline
  • When manually validating a draft strategy for edge plausibility

Prerequisites

  • Strategy draft YAML files (output of edge-strategy-designer)
  • Python 3.10+ with PyYAML

Workflow

  1. Load draft YAML files from --drafts-dir or a single --draft file
  2. Evaluate each draft against 8 criteria (C1-C8) with weighted scoring
  3. Compute confidence score (weighted average of all criteria)
  4. Determine verdict: PASS / REVISE / REJECT
  5. Assess export eligibility (PASS + export_ready_v1 + exportable family)
  6. Write review output (YAML or JSON) and optional markdown summary

Review Criteria

# Criterion Weight Key Checks
C1 Edge Plausibility 20 Thesis quality, domain terms, mechanism keywords (continuous 50-95)
C2 Overfitting Risk 20 5-tier filter count scoring (90/80/60/40/10), precise threshold penalty
C3 Sample Adequacy 15 Continuous scoring from estimated annual opportunities (10-95)
C4 Regime Dependency 10 Cross-regime validation
C5 Exit Calibration 10 Stop-loss, reward-to-risk
C6 Risk Concentration 10 Position sizing limits
C7 Execution Realism 10 Volume filter, export consistency
C8 Invalidation Quality 5 Signal count and specificity

Verdict Logic

  • C1 or C2 severity=fail → immediate REJECT
  • confidence >= 70, no fail findings → PASS
  • confidence < 35 → REJECT
  • Otherwise → REVISE (with revision instructions)

Running the Script

# Review all drafts in a directory
python3 skills/edge-strategy-reviewer/scripts/review_strategy_drafts.py \
  --drafts-dir reports/edge_strategy_drafts/ \
  --output-dir reports/

# Single draft review
python3 skills/edge-strategy-reviewer/scripts/review_strategy_drafts.py \
  --draft reports/edge_strategy_drafts/draft_xxx.yaml \
  --output-dir reports/

# JSON output with markdown summary
python3 skills/edge-strategy-reviewer/scripts/review_strategy_drafts.py \
  --drafts-dir reports/edge_strategy_drafts/ \
  --output-dir reports/ \
  --format json \
  --markdown-summary

# Strict export mode: export-eligible drafts with any warn → REVISE
python3 skills/edge-strategy-reviewer/scripts/review_strategy_drafts.py \
  --drafts-dir reports/edge_strategy_drafts/ \
  --output-dir reports/ \
  --strict-export

# Bias checklist (issue #297): mandatory strategy-research bias gate.
# Uses the bundled checklist unless a custom YAML path is supplied.
# A draft leaving any required item unaddressed is downgraded PASS → REVISE
# and loses export eligibility.
python3 skills/edge-strategy-reviewer/scripts/review_strategy_drafts.py \
  --drafts-dir reports/edge_strategy_drafts/ \
  --output-dir reports/ \
  --bias-checklist

Output Format

Primary output: review.yaml (or review.json)

generated_at_utc: "2026-02-28T12:00:00+00:00"
source:
  drafts_dir: "/path/to/strategy_drafts"
  draft_count: 4
summary:
  total: 4
  PASS: 1
  REVISE: 2
  REJECT: 1
  export_eligible: 1
reviews:
  - draft_id: "draft_xxx_core"
    verdict: "PASS"
    confidence_score: 80
    export_eligible: true
    findings: [...]
    revision_instructions: []

Resources

  • references/review_criteria.md — Detailed scoring rubric for C1-C8
  • references/overfitting_checklist.md — Overfitting detection heuristics

Tips for Edge Strategy Reviewer

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • This skill ships scripts. Read them before the first run, and run it in a project without secrets first.
  • • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
  • • It is part of a pack with 30 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Edge Strategy Reviewer

What does the Edge Strategy Reviewer skill do?

Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism. Use when strategy_drafts/*.yaml exists and needs quality gate before pipeline export. Outputs PASS/REVISE/REJECT verdicts with confidence scores.

How do I install Edge Strategy Reviewer?

Run "npx skills add tradermonty/claude-trading-skills --skill edge-strategy-reviewer" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Edge Strategy Reviewer work in Cursor and Codex?

Yes. Edge Strategy Reviewer uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Edge Strategy Reviewer free?

Edge Strategy Reviewer is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.

Who made Edge Strategy Reviewer?

Edge Strategy Reviewer is published by tradermonty in the tradermonty/claude-trading-skills repository, together with 29 other skills.

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