agentic-os
sasdsamatt123/agentic-os
Acts as a daily review engine that audits the operator's AI activity across eight signal buckets and generates structured JSON prescriptions for dashboard visualization.
Overview
The agentic-os dream review skill parses recent session logs, skill inventories, and configuration files to evaluate performance, cost efficiency, memory health, and workflow patterns. It filters out anti-patterns, ranks high-impact findings, and outputs a strict JSON payload containing actionable prescriptions for the operator's AI dashboard.
Capabilities
- ▸Analyzes raw JSONL message logs and usage metrics
- ▸Evaluates skill inventory health and invocation frequency
- ▸Scans workspace memory files for staleness and missing coverage
- ▸Calculates estimated financial and time impact for workflow optimizations
- ▸Generates structured JSON output compliant with a strict dashboard schema
Best for
Auditing daily AI tool usage and spend to identify model cost leaks., Monitoring memory decay and missing documentation within workspaces., Discovering repetitive manual workflows that should be converted into custom skills or aliases.
Works with
実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 — AIによるcapabilities/use-cases解析
実装・指示の品質。 — AIによるSKILL.md/README解析
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
ありふれたラッパーではない独自性。 — AIによる独自性判定
コミュニティの採用度。 — GitHub Stars/Forks(対数スケール)
対応AIエージェントの広さ。 — AIによる対応エージェント判定
ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
The skill accesses local logs, configuration files, and project histories to generate performance insights. Ensure no sensitive credentials or personal identifiable information are exposed within the generated JSON reports.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.