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/new-analysis/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/new-analysis)<a href="https://agentmods.dev/skills/parthakker/nfl-analytics/new-analysis"><img src="https://agentmods.dev/badge/skills/parthakker/nfl-analytics/new-analysis.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.00224 |
| Opus 5 | $0.00012 | $0.00112 |
| Sonnet 5 | $0.00005 | $0.00045 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
new-analysis 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 6d 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
Analysis workflow
- Load
warehouse-queries(grains, traps) — pick tables/views; prefer views over raw tables when one fits (v_team_games, v_matchup_games, v_player_stats_week_all, v_game_weather...). - State filters explicitly before running: seasons, season_type, play_type, minimums. Defaults: REG only, pass/run plays, sensible attempt minimums.
- Run read-only. Sanity-check the result (row counts, a known reference value, era coverage) before presenting.
- Present: answer first, then the filters used ("2018–2025 REG, min 160 att"), then caveats (coverage floors, small samples). Cite enough that the query could be re-run from the answer alone.
- If the question will recur, propose promoting it to a view (/new-view).
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.
- 6d ago First seen · 20 lines · 23 tokens per session scan A e774a098bd7c
new-analysis is a skill published in the GitHub repository parthakker/nfl-analytics (0 stars, last pushed 5d ago), licensed MIT. It adds 23 tokens to every session and 224 once invoked, about $0.0001 per session on Opus 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.
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