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time-series-sports

time-series-sports is a skill for Claude Code, Codex from WalrusQuant/sports-analytic-skills. It costs 35 tokens per session (2,006 once invoked), scanned A, original, no licence file.

A guide to creating and comparing sports form measures without using future information. It covers rolling windows, exponentially weighted averages, rest periods, schedule gaps, early-season data, and chronological testing.

In plain words
What is it for?
Use it to build time-safe features from past games and compare them with chronological evaluations.
Why use it?
It helps prevent sports models from being tested with information that would not have been available at prediction time. This makes comparisons between features more trustworthy.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

not rated 53repo +2 1mo ago A scan 35 tokens custom licence

Good fit Use it to build time-safe features from past games and compare them with chronological evaluations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/walrusquant/sports-analytic-skills/time-series-sports
View source ↗ WalrusQuant/sports-analytic-skills walrusquant.github.io
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add WalrusQuant/sports-analytic-skills --skill time-series-sports
Clone the repo
git clone --depth 1 https://github.com/WalrusQuant/sports-analytic-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for time-series-sports

README.md
[![agentmods](https://agentmods.dev/badge/skills/walrusquant/sports-analytic-skills/time-series-sports/github.svg)](https://agentmods.dev/skills/walrusquant/sports-analytic-skills/time-series-sports)
Your own site
<a href="https://agentmods.dev/skills/walrusquant/sports-analytic-skills/time-series-sports"><img src="https://agentmods.dev/badge/skills/walrusquant/sports-analytic-skills/time-series-sports/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for time-series-sports

Your own site · 80×15
<a href="https://agentmods.dev/skills/walrusquant/sports-analytic-skills/time-series-sports"><img src="https://agentmods.dev/badge/skills/walrusquant/sports-analytic-skills/time-series-sports.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,006 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00035 $0.02006
Opus 5.5 $0.00014 $0.00802
Sonnet 5.5 $0.00007 $0.00401
Haiku 4.5 $0.00003 $0.00201

Measured 2mo ago against content hash fd33ac5afe5c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

time-series-sports scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/compare_form_windows.py, scripts/ewma_form.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/time-series-sports/SKILL.md · 271 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 271 lines · 35 tokens per session scan A fd33ac5afe5c

Subscribe to this mod's changes

time-series-sports is a skill published in the GitHub repository WalrusQuant/sports-analytic-skills (53 stars, last pushed 1mo ago), with no licence file. It adds 35 tokens to every session and 2,006 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Analytics and metrics
Related

time-series-sports compared with skills from other repositories

time-series-sports next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
time-series-sportsWalrusQuant/sports-analytic-skillsSkill531mo agononeA35Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code