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ENJA

Arnold

peteromallet/Arnold

Arnold and its Megaplan harness provide a structured, cost-efficient pipeline system for coordinating multiple AI models during software development sprints.

97 8No licenseUpdated 2026-08-13

Overview

Arnold leverages a native-first pipeline architecture to break complex software development tasks into distinct, independently checked phases like preparation, planning, critique, and execution. By routing specific tasks to cost-effective open models while reserving premium models like Claude or Codex for architectural decisions and hard challenges, it significantly lowers the cost of AI-driven coding without sacrificing reliability.

Capabilities

  • Native-first pipeline definition using decorators (@pipeline, @phase, @decision)
  • Cost-efficient model routing separating cheap tasks from premium adjudication
  • Multi-phase execution harness (Megaplan) for planning, gating, and code execution
  • Remote cloud-based pipeline runs with persistent workspaces

Best for

Scaffolding native Arnold pipelines, Running cost-efficient AI coding sprints and epics using model routing, Performing multi-phase software planning, critique, and automated execution

Works with

Claude CodeCodex
Evoa Score breakdown= Σ (score × weight)
59
Task usefulness20%77 → +15.4

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

Code quality15%85 → +12.8

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%100 → +15.0

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

Documentation12%30 → +3.6

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

Security15%50 → +7.5

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

Originality10%90 → +9.0

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

Popularity8%51 → +4.1

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%50 → +2.5

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

Weighted total69.8 / 100

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

Execution pipelines handle local workspace modifications and interact with external LLM APIs using user-provided credentials stored locally.

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.