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.
curl -O https://raw.githubusercontent.com/parthakker/nfl-analytics/main/.claude/skills/refresh-data/SKILL.mdgit clone --depth 1 https://github.com/parthakker/nfl-analyticsWrote 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.
[](https://agentmods.dev/skills/parthakker/nfl-analytics/refresh-data)<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.
<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>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.
| Model | Per session | Once 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 |
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.
What it actually says
Refresh data
- Preflight: make sure nothing holds a write lock — explore.cmd (DuckDB UI)
must be closed; check
logs/refresh.logtail for an already-running refresh. - 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.
- Verify: the build output must end with "All tables loaded" and
"travel sanity OK"; then run
python -m pytest -m warehouse -q. - 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.
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.
- 2mo ago First seen · 24 lines · 14 tokens per session scan A 84839b722905
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.
refresh-data compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| refresh-dataparthakker/nfl-analytics | Skill | 1 | 11d ago | MIT | A | 14 | Claude Code |
| developing-with-streamlitstreamlit/streamlit | Skill | 46k | yesterday | Apache-2.0 | A | 146 | Claude Code |
| network-data-analysisautomateyournetwork/netclaw | Skill | 715 | yesterday | Apache-2.0 | A | 64 | Claude Code, Codex |
| usageCanner/WrenAI | Skill | 18k | 2d ago | none | A | 156 | Claude Code, Codex |
| generate-mdlCanner/WrenAI | Skill | 18k | 2d ago | none | A | 82 | Claude Code, Codex |
| genbiCanner/WrenAI | Skill | 18k | 2d ago | none | A | 140 | Claude Code, Codex |
| analytical-databases-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 100 | Claude Code |