david-silver 監査レポート.

警告

• Core principles contain duplication: the first three principles all express the same 'discard human data to break performance ceiling' idea with cosmetic rewording.
• The skill lacks concrete RL engineering heuristics (e.g., baseline subtraction, eligibility traces, exploration scaling) that are present in the source corpus, making it less actionable for actual ML engineering.
• Frameworks and heuristics sections omit source attributions (src_XXX tags) that would improve traceability and credibility.
• Quality score needs review
• Stars/forks activity: 122 stars, 18 forks; issue activity unavailable in current metadata

方法

このレポートは公開メタデータ、AI レビュー、リポジトリの鮮度、インストール準備、OpenAgentSkill イベント、品質スコア、信頼チェック、Agent セーフティゲートを統合します。完全なソースコード監査ではありません。