Agent skill

Edge Strategy Reviewer

by tradermonty in tradermonty/claude-trading-skills

Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism.

MITAuto-check passedTesting & QA

Install Edge Strategy Reviewer

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

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install tradermonty/claude-trading-skills edge-strategy-reviewer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/edge-strategy-reviewer .claude/skills/edge-strategy-reviewer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
edge-strategy-reviewer
GitHub stars
3k
Used in
1 other repo
Token cost
~988 tokens
SKILL.md length
225 words
Files
8 (incl. scripts, references, assets)
Skills in repo
74
Repo updated
First seen
Licence
MIT

At a glance

Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism.

  • Works in 6 steps: Load draft YAML files from --drafts-dir… → Evaluate each draft against 8 criteria… → Compute confidence score (weighted… → …
  • Strategydrafts/.yaml exists and needs quality gate before pipeline export
  • SKILL.md covers When to Use, Prerequisites, Workflow and Review Criteria, plus 4 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Edge Strategy Reviewer is an agent skill from tradermonty/claude-trading-skills. 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.

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts, reference files and assets (for example `assets/bias_checklist.yaml`, `references/overfitting_checklist.md` and `references/review_criteria.md`).

It sits in Testing & QA, covering Quality gates and Experimental design. The repository describes itself as: Claude Code skills for equity investors and traders — market analysis, technical charting, economic calendars, screeners, and trading strategy development. The licence is MIT.

When your agent uses it

  • Strategydrafts/.yaml exists and needs quality gate before pipeline export
  • Tasks that involve Quality gates
  • Tasks that involve Experimental design

Example prompts

  • “/edge-strategy-reviewer”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit c8d58f0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Edge Strategy Reviewer loads about 988 tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 225 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~988
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from tradermonty/claude-trading-skills at commit c8d58f0, republished under its MIT licence (© tradermonty). 225 words, ~988 tokens.

Download SKILL.mdSave it as .claude/skills/edge-strategy-reviewer/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
edge-strategy-reviewer
description
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.

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

#CriterionWeightKey Checks
C1Edge Plausibility20Thesis quality, domain terms, mechanism keywords (continuous 50-95)
C2Overfitting Risk205-tier filter count scoring (90/80/60/40/10), precise threshold penalty
C3Sample Adequacy15Continuous scoring from estimated annual opportunities (10-95)
C4Regime Dependency10Cross-regime validation
C5Exit Calibration10Stop-loss, reward-to-risk
C6Risk Concentration10Position sizing limits
C7Execution Realism10Volume filter, export consistency
C8Invalidation Quality5Signal 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

bash
# 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)

yaml
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

© tradermonty, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references, assets) in skills/edge-strategy-reviewer of tradermonty/claude-trading-skills.

  • SKILL.md
  • assets/bias_checklist.yaml
  • references/overfitting_checklist.md
  • references/review_criteria.md
  • requirements.txt
  • scripts/review_strategy_drafts.py
  • scripts/tests/conftest.py
  • scripts/tests/test_review_strategy_drafts.py

Open the folder on GitHubat commit c8d58f0

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in tradermonty/claude-trading-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Edge Strategy Reviewer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Edge Strategy Reviewer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Edge Strategy Reviewer this skilltradermonty/claude-trading-skills3k1 repos~988Automated safety check: PassMIT
Test Writing WorkflowiOfficeAI/AionUi33k1 repos~1.2kAutomated safety check: PassApache-2.0
Expert Panelericosiu/ai-marketing-skills3.6k2 repos~2.1kAutomated safety check: PassMIT
SoloPi AI Controlalipay/SoloPi6.3k—~3.6kAutomated safety check: PassApache-2.0
Quality Scandiegosouzapw/OmniRoute75k—~748Automated safety check: PassMIT
Test GuardamElnagdy/guard-skills1.3k2 repos~2.1kAutomated safety check: PassMIT

Similar skills

  • Test Writing Workflow

    iOfficeAI/AionUi

    Sets the test-writing workflow for the repository: risk-first scenario lists, behavior-focused Vitest tests, a full run before each commit and a coverage target.

    33k GitHub starsUsed in 1 repo~1.2k tokens
    Testing & QAAuto-check passed
  • Expert Panel

    ericosiu/ai-marketing-skills

    Score, evaluate, and iteratively improve any content or strategy using an auto-assembled panel of domain experts.

    3.6k GitHub starsUsed in 2 repos~2.1k tokens
    Frontend & DesignAuto-check passed
  • SoloPi AI Control

    alipay/SoloPi

    Drives Android devices through SoloPi's typed command line to record, replay and verify app behavior, with device pools and signed on-device decision models.

    6.3k GitHub stars~3.6k tokensUpdated 1 mo ago
    Testing & QAAuto-check passed
  • Quality Scan

    diegosouzapw/OmniRoute

    Runs a scoped, read-only quality scan on a repository candidate and reports exact evidence, failures and frozen debt, without treating a static scan as release acceptance.

    75k GitHub stars~748 tokensUpdated today
    Testing & QAAuto-check passed
  • Test Guard

    amElnagdy/guard-skills

    Reviews newly written or edited tests against nine rules that cut test bloat, such as mock-heavy checks and near-duplicate cases, before they are committed.

    1.3k GitHub starsUsed in 2 repos~2.1k tokens
    Testing & QAAuto-check passed
  • Triage Sonarqube

    netdata/netdata

    Inspect, review, or apply authorized triage decisions to SonarCloud issues and security hotspots; also review the Sonar helpers.

    81k GitHub stars~2.8k tokensUpdated today
    Testing & QAAuto-check: notes

More from tradermonty/claude-trading-skills

All 74 skills in this repo
  • Technical Analyst

    tradermonty/claude-trading-skills

    This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.

    3k GitHub starsUsed in 4 repos~4.6k tokens
    Auto-check passed
  • Theme Detector

    tradermonty/claude-trading-skills

    Detect and analyze trending market themes across sectors. An agent skill from tradermonty/claude-trading-skills.

    3k GitHub starsUsed in 2 repos~4.9k tokens
    Auto-check passed
  • Trader Memory Core

    tradermonty/claude-trading-skills

    Track investment theses across their lifecycle — from screening idea to closed position with postmortem.

    3k GitHub starsUsed in 2 repos~4.3k tokens
    Auto-check passed
  • Sector Analyst

    tradermonty/claude-trading-skills

    This skill should be used when analyzing sector rotation patterns and market cycle positioning.

    3k GitHub starsUsed in 1 repo~2.3k tokens
    Auto-check passed
  • Stanley Druckenmiller Investment

    tradermonty/claude-trading-skills

    Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener)…

    3k GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed
  • Stockbee 20pct Study

    tradermonty/claude-trading-skills

    Build and maintain a Stockbee-style daily 20% mover study for US equities by scanning +20%/-20% movers, classifying catalysts and setup context, updating forward outcomes, and summarizing cohort…

    3k GitHub starsUsed in 1 repo~1.4k tokens
    Auto-check passed

Categories

Questions about Edge Strategy Reviewer

What does Edge Strategy Reviewer do?

Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism. Edge Strategy Reviewer is an agent skill from tradermonty/claude-trading-skills. Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism.

When should I use Edge Strategy Reviewer?

Edge Strategy Reviewer fits situations like: strategydrafts/.yaml exists and needs quality gate before pipeline export; tasks that involve Quality gates; tasks that involve Experimental design.

How do I install Edge Strategy Reviewer in Claude Code?

Run `npx skills add tradermonty/claude-trading-skills --skill edge-strategy-reviewer -a claude-code`. Or copy the skill folder (skills/edge-strategy-reviewer in tradermonty/claude-trading-skills) into .claude/skills/edge-strategy-reviewer in your project. Claude Code loads it when a task matches its description.

How do I install Edge Strategy Reviewer in Codex?

Run `npx skills add tradermonty/claude-trading-skills --skill edge-strategy-reviewer -a codex`. Or copy the skill folder (skills/edge-strategy-reviewer in tradermonty/claude-trading-skills) into .agents/skills/edge-strategy-reviewer in your project. Codex loads it when a task matches its description.

Can I use Edge Strategy Reviewer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tradermonty/claude-trading-skills --skill edge-strategy-reviewer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/edge-strategy-reviewer, .gemini/skills/edge-strategy-reviewer, .github/skills/edge-strategy-reviewer and .opencode/skills/edge-strategy-reviewer in your project.

What does Edge Strategy Reviewer need to run?

Going by SKILL.md and its folder, Edge Strategy Reviewer needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Edge Strategy Reviewer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Edge Strategy Reviewer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Edge Strategy Reviewer use?

Edge Strategy Reviewer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Edge Strategy Reviewer use?

About 988 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.

What are the alternatives to Edge Strategy Reviewer?

Skills that share tags, products or a category with Edge Strategy Reviewer: Test Writing Workflow (iOfficeAI/AionUi, 33k stars), Expert Panel (ericosiu/ai-marketing-skills, 3.6k stars), SoloPi AI Control (alipay/SoloPi, 6.3k stars) and Quality Scan (diegosouzapw/OmniRoute, 75k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Edge Strategy Reviewer?

tradermonty (a GitHub user) maintains it in tradermonty/claude-trading-skills, which has 2,982 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 11, 2026.

Source: tradermonty/claude-trading-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.