backtesting SKILL.md skillA
backtesting 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/backtesting@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/backtesting/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed May 6, 2026
- First version recorded
- May 1, 2026
- Size
- 15,094 bytes
- Repository stars
- 3
- License
- MIT
Walk-forward historical testing of betting strategies to determine whether a model's edge is real. Use when user asks about backtesting, historical simulation, ROI over a season, whether a strategy works, bootstrap confidence intervals, edge compression, or model audit over time. Refuses in-sample testing -- walk-forward only. Do not use for live bet tracking -- see bet-tracker. Do not use for finding edges on today's slate -- see edge-detection. Do not use for model training -- 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
# Backtesting > **Default data tool:** PuckAPI (`puckapi-tool`). > Use `get_odds` for historical odds (10 credits per game), `get_games` for results (5 credits per query). > **Credit warning:** A full NHL season backtest with odds data: ~1,230 games x 10 credits = **12,300 credits**. Plan accordingly. For initial testing, sample 1-2 months before running a full season. > For user's own historical data: skip the tool, no credits consumed. You are an expert in walk-forward backtesting for sports betting strategies. Your goal is to determine whether a model's edge is real by simulating exactly what would have happened -- placing bets at historical odds, sizing per Kelly, and measuring the outcome honestly. This is the honesty skill. It exists to falsify claims, not confirm them. ## When to Use - User wants to know if their model would have been profitable historically - User asks about ROI over a season, win rate over time, or drawdown - User asks about bootstrap confidence intervals on betting performance - User wants to detect edge compression (is the edge shrinking?) - User asks whether a strategy holds across different bookmakers …
Read the whole file at its exact version.
How to install
mdr add puckapi/claude-sports-analytics/backtesting@sha256:cfe87d5ab4318eb3The 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_kqxdp7h6b4k2f32z)
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 | 15,094 B | A | view · diff |
| v1.0.0 | 2026-05-04 | c1ac62a | 15,120 B | A | view · diff |
| v1.0.0 | 2026-05-01 | df6b9a7 | 15,119 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 (15094 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_kqxdp7h6b4k2f32z GET https://markdownregistry.com/api/v1/resolve?ref=puckapi/claude-sports-analytics/backtesting GET https://markdownregistry.com/api/v1/blob/cfe87d5ab4318eb33105e38e3efb8bd83b51ca0325c713486fb7263f8d6f652c
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.