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/rebuild/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/rebuild)<a href="https://agentmods.dev/skills/parthakker/nfl-analytics/rebuild"><img src="https://agentmods.dev/badge/skills/parthakker/nfl-analytics/rebuild/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/rebuild"><img src="https://agentmods.dev/badge/skills/parthakker/nfl-analytics/rebuild.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 | $0.00018 | $0.00198 |
| Opus 5.5 | $0.00007 | $0.00079 |
| Sonnet 5.5 | $0.00004 | $0.00040 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
rebuild 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
Rebuild warehouse
- Preflight: explore.cmd (DuckDB browser UI) must be closed — the rebuild deletes and recreates nfl.duckdb.
python -m nfl_analytics.cli rebuild(raw tables, ~60s) thenpython -m nfl_analytics.cli views(venues, weather parse, views, macros).- Both must exit 0; views output ends with "travel sanity OK". Then
python -m pytest -m warehouse -q. - If a table fails with "no files match": non-optional glob missing from data/ — run /refresh-data instead. If the Jarvis server was up during the rebuild it may hold a stale handle — restart it if /api/health degrades.
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 · 18 lines · 18 tokens per session scan A e6d7d664140e
rebuild is a skill published in the GitHub repository parthakker/nfl-analytics (1 stars, last pushed 11d ago), licensed MIT. It adds 18 tokens to every session and 198 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.
rebuild compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| rebuildparthakker/nfl-analytics | Skill | 1 | 11d ago | MIT | A | 18 | Claude Code |
| 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 |
| dlt-connectorCanner/WrenAI | Skill | 18k | 2d ago | none | A | 158 | Claude Code, Codex |
| wrenCanner/WrenAI | Skill | 18k | 2d ago | none | A | 315 | Claude Code |
| duckdb-spatialznlgis/opengis-skills | Skill | 76 | 10d ago | MIT | A | 125 | Claude Code, Codex |
| duckdb-differentialtobilg/duckdb-differential | Skill | 48 | 4d ago | MIT | A | 123 | Claude Code |