
edge-strategy-reviewer
Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism. Use when strategydrafts/.yaml exists and needs quality gate before pipeline export. Outputs PASS/REVISE/REJECT verdicts with confidence scores.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/tradermonty/claude-trading-skills --skill edge-strategy-reviewer- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads edge-strategy-reviewer automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Edge Strategy Reviewer
Deterministic quality gate for strategy drafts produced by edge-strategy-designer.
When to Use
- After
edge-strategy-designergeneratesstrategy_drafts/*.yaml - Before exporting drafts to
edge-candidate-agentvia 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
- Load draft YAML files from
--drafts-diror a single--draftfile - Evaluate each draft against 8 criteria (C1-C8) with weighted scoring
- Compute confidence score (weighted average of all criteria)
- Determine verdict: PASS / REVISE / REJECT
- Assess export eligibility (PASS + export_ready_v1 + exportable family)
- 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-C8references/overfitting_checklist.md— Overfitting detection heuristics
FAQ
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 strategydrafts/.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 https://github.com/tradermonty/claude-trading-skills --skill edge-strategy-reviewer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/edge-strategy-reviewer/ (personal) or .claude/skills/edge-strategy-reviewer/ (project).
Which AI agents can use edge-strategy-reviewer?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is edge-strategy-reviewer safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains edge-strategy-reviewer?
It is published by tradermonty in tradermonty/claude-trading-skills. It has 3,436 recorded installs.
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