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edge-detection

Calculate expected value, break-even probability, model edge versus a no-vig market, and minimum acceptable odds.

Skill by doctore-sports

IndexedMIT
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/jambovisuaalit-edge-detection

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Calculate expected value, break-even probability, model edge versus a no-vig market, and minimum acceptable odds. Use when the user asks whether a bet is +EV, mikä on EV, edge, value bet, fair odds, price threshold, or whether current decimal odds qualify under Doctore thresholds.

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/edge-detection

Tools it pre-approves 4

From allowed-tools in SKILL.md: the agent may use these without asking you each time.

  • Read
  • Grep
  • Glob
  • Bash(python:*)

What's inside

Skill name
edge-detection
Description
Calculate expected value, break-even probability, model edge versus a no-vig market, and minimum acceptable odds. Use when the user asks whether a bet is +EV, mikä on EV, edge, value bet, fair odds, price threshold, or whether current decimal odds qualify under Doctore thresholds.
License
MIT
Compatibility
Agent Skills filesystem. Python 3.11+ for deterministic calculations.
Allowed tools
Read, Grep, Glob, Bash(python:*)
Metadata
author: doctore-sports · version: 2.0.0 · category: mathematics
Instructions
22 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts
  • Pre-approves some shell commands

Files (4)

  • SKILL.md
  • decision-policy.md · references/
  • formulas.md · references/
  • calculate_edge.py · scripts/

SKILL.md (first lines)

# Edge detection

Use only a validated executable price and validated model probability.

## Workflow

1. Receive decimal odds `d`, model probability `p`, no-vig market probability `m`, minimum EV, and minimum market edge.
2. Run `scripts/calculate_edge.py` with substituted values.
3. Report break-even probability, EV, edge versus market, break-even odds, and minimum qualifying odds.
4. Return `PASS` when EV or market-edge thresholds fail.
5. Send qualifying candidates to sport validation, anti-bias audit, and risk management.

## References

- Read `references/formulas.md` for definitions and examples.
- Read `references/decision-policy.md` for BET, WATCH, and PASS economics.

## Hard rule

No-vig market probability is used for relative edge reporting. The executable decimal price is used for EV and Kelly.

From Jambovisuaalit/doctore, MIT.

More from Jambovisuaalit/doctore

Signals

Stars
0
Forks
0
Open issues
3
Last commit (this folder)
Jul 23, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
2.0.0
License
MIT
Repository
github.com/Jambovisuaalit/doctore
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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Cite this page

edge-detection skill. Agent Mart. https://agentmart.dev/skills/jambovisuaalit-edge-detection (last updated 2026-10-24)