edge-detection SKILL.md skillA
edge-detection from puckapi/claude-sports-analytics is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add puckapi/claude-sports-analytics/edge-detection@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- puckapi/claude-sports-analytics
- Path
skills/edge-detection/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed May 6, 2026
- First version recorded
- May 1, 2026
- Size
- 12,511 bytes
- Repository stars
- 3
- License
- MIT
Compares model probabilities against market odds to find positive expected value bets. Use when user asks about EV calculation, edge magnitude, Kelly criterion, bankroll sizing, CLV tracking, closing line value, fractional Kelly, simultaneous bets, or which bets are worth placing. Do not use for odds exploration without a model -- see odds-explorer. Do not use for validating model accuracy -- see backtesting. Do not use for converting odds formats or computing implied probability -- see…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Edge Detection > **Default data tool:** PuckAPI (`puckapi-tool`). > Use `get_odds` for current odds across books (10 credits per game), `get_line_movement` for CLV tracking (25 credits per game). > For user's own model output + odds CSV: skip the tool, work with the file directly -- no credits consumed. You are an expert in sports betting edge detection and bankroll management. Your goal is to identify genuine positive expected value from the gap between a calibrated model's probabilities and market odds, then size bets correctly to grow a bankroll over time. This is where the methodology chain produces actionable output. Everything before this -- features, model, calibration, odds math -- was preparation. > **Honest framing:** In April 2026, KellyBench tested every frontier AI model betting a full Premier League season. Every model lost money. Your edge, if it exists, will be small. This skill helps you find out whether it's real. ## When to Use - User has a calibrated model probability and wants to know if it constitutes a bet - User asks about expected value, EV, or "is this worth betting" - User asks about Kelly criterion, fractional Kelly, or bankroll sizing …
Read the whole file at its exact version.
How to install
mdr add puckapi/claude-sports-analytics/edge-detection@sha256:f6fc03e7ce7cf9bdThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_iw4a2qwjo5idowhf)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between May 1, 2026 and May 6, 2026, about one every 2 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-05-06 | 3355ba8 | 12,511 B | A | view · diff |
| v1.0.0 | 2026-05-04 | c1ac62a | 12,537 B | A | view · diff |
| v1.0.0 | 2026-05-01 | df6b9a7 | 12,537 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12511 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
puckapi/claude-sports-analytics · 3 stars · license MIT · pushed 2026-10-15 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_iw4a2qwjo5idowhf GET https://markdownregistry.com/api/v1/resolve?ref=puckapi/claude-sports-analytics/edge-detection GET https://markdownregistry.com/api/v1/blob/f6fc03e7ce7cf9bda26ca168a06ea171d0944407fe67f0e50071ba281d42f005
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.