nfl-analytics: Skill for Claude Code

.claude/skills/refresh-data/SKILL.md

refresh-data is a skill for Claude Code from parthakker/nfl-analytics. It costs 14 tokens per session (259 once invoked), scanned A, original, MIT.

A data-refresh procedure that downloads updated NFL data from nflverse, a public source of NFL statistics, then rebuilds and checks the analytics warehouse.

In plain words
What is it for?
Use it for weekly updates, a complete historical refresh, or a fresh data download, followed by weather processing, view rebuilding, and warehouse tests.
Why use it?
It makes updating the local database repeatable and identifies download problems, missing files, row-count issues, and failed validation checks.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

This is parthakker/nfl-analytics's own configuration. It tells Claude Code how to work on nfl-analytics itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything nfl-analytics configures →

Reuse

Borrowing it

Nothing to install: this file belongs to parthakker/nfl-analytics. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/parthakker/nfl-analytics/main/.claude/skills/refresh-data/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/parthakker/nfl-analytics

Made for: Claude Code.

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 refresh-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/parthakker/nfl-analytics/refresh-data/github.svg)](https://agentmods.dev/skills/parthakker/nfl-analytics/refresh-data)
Your own site
<a href="https://agentmods.dev/skills/parthakker/nfl-analytics/refresh-data"><img src="https://agentmods.dev/badge/skills/parthakker/nfl-analytics/refresh-data/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 refresh-data

Your own site · 80×15
<a href="https://agentmods.dev/skills/parthakker/nfl-analytics/refresh-data"><img src="https://agentmods.dev/badge/skills/parthakker/nfl-analytics/refresh-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 259 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 original 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 $0.00014 $0.00259
Opus 5.5 $0.00006 $0.00104
Sonnet 5.5 $0.00003 $0.00052
Haiku 4.5 $0.00001 $0.00026

Measured 2mo ago against content hash 84839b722905, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

refresh-data 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.

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.

.claude/skills/refresh-data/SKILL.md · 24 lines

What it actually says

Refresh data

  1. Preflight: make sure nothing holds a write lock — explore.cmd (DuckDB UI) must be closed; check logs/refresh.log tail for an already-running refresh.
  2. Run python -m nfl_analytics.cli refresh $ARGUMENTS
    • no flag: weekly mode (current + last season assets + schedules)
    • --full: every season in the manifest
    • --bootstrap: fresh-clone download (~2 GB, resumable) This downloads, runs fetch_weather, rebuilds warehouse + views, snapshots Vegas lines.
  3. Verify: the build output must end with "All tables loaded" and "travel sanity OK"; then run python -m pytest -m warehouse -q.
  4. Report: assets fetched, any FAILURES lines, row-count anomalies, and the refresh.log line. If a download failed with "no candidate matched", nflverse likely renamed an asset — check their releases page before editing the manifest in scripts/refresh_data.py.
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 · 24 lines · 14 tokens per session scan A 84839b722905

Subscribe to this mod's changes

refresh-data is a skill published in the GitHub repository parthakker/nfl-analytics (1 stars, last pushed 11d ago), licensed MIT. It adds 14 tokens to every session and 259 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 2026-08-31.

Related

refresh-data compared with skills from other repositories

refresh-data next to 6 skills from other repositories
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