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ENJA

BosqueCore

BosqueLanguage/BosqueCore

BosqueCore introduces the Bosque programming language, designed for high-reliability software, full determinism, and mechanization at scale.

199 12No licenseUpdated 2026-08-13

Overview

BosqueCore is the repository and implementation for the Bosque programming language, focusing on eliminating extrinsic complexity, side-effects, and spooky actions at a distance. Version 2.0 provides advanced safety features like poke-yoke programming, no-tradeoff garbage collection, validated strings, nominal types, and explicit immutability or controlled reference passing to simplify state management.

Capabilities

  • Deterministic execution model
  • Poke-yoke programming features preventing common CWE vulnerability categories
  • No-tradeoff garbage collection with bounded pauses
  • Validated string types with regex constraints
  • Nominal types with multi-inheritance and data invariants

Best for

Developing high-reliability and correctness-first software artifacts, Writing fully deterministic code for distributed systems and agentic AI workflows, Experimenting with novel programming language features like typed strings and algebraic data types++

Works with

Claude CodeCodexChatGPTGemini CLICursorGitHub CopilotOpenCode
Evoa Score breakdown= Σ (score × weight)
70
Task usefulness20%88 → +17.6

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%26 → +3.1

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%100 → +15.0

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%95 → +9.5

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%59 → +4.7

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

Compatibility5%100 → +5.0

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 total82.7 / 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

The language design inherently prevents many common security vulnerabilities (such as a large subset of MITRE Top-10 CWE categories) through enforced safety mechanisms and absence of implicit side-effects.

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.