Callbacks enable adding arbitrary self-contained programs to training without cluttering your LightningModule research code. They execute custom logic at specific hooks during the training lifecycle.
claude-skill
meta.json
CCautionchet-zzz/Tearsheet
{ "title": "阿里巴巴 FY2026 Q4 业绩概览", "description": "截至 2026-03-31 季度，数据源：SEC EDGAR 6-K（accession 0001104659-26-060224）", "datasets": { "summary": "summary.csv", "segments": "segments.csv", "bridge": "bridge.csv", "quarterly": "quarterly.csv", "heatmap": "heatmap.csv" } }
meta.json got grade C on our automated scan on 2026-10-28.
Why this grade
- Some files were not scanned (too many, too big, or not text), so the grade is capped at C.
Before you install
- Read any scripts this skill ships.
- Note every URL it fetches.
- Check allowed-tools and hooks.
Embed this grade
Add this badge to your README. It shows the current grade from CheckSkills.
Report this skill if the grade looks wrong, or if something slipped through.
Related
You are a security researcher investigating a specific attack hypothesis against a Solana/Anchor codebase. Your mission: Determine if this attack vector is viable.
/ gate983.mjs — the typography fix, everywhere else (build 983).
Source URL: https://m3.material.io/styles/typography/fonts Generated: 2026-06-15
// MARK: - Directions View Example // macOS 14+ SwiftUI 経路検索・表示