edge-strategy-reviewer
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 BaggaT236/AI-Trading-Skills --skill edge-strategy-reviewer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 fr
- When to Use
- Prerequisites
- Workflow
- Review Criteria
- Verdict Logic
- Running the Script
- Output Format
- Resources
Review all drafts in a directory python3 skills/edge-strategy-reviewer/scripts/review_strategy_drafts.py \ Single draft review JSON output with markdown summary Strict export mode: export-eligible drafts with any warn → REVISE
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 it?
Run `npx skills add BaggaT236/AI-Trading-Skills --skill edge-strategy-reviewer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.