Thermos

作者 cursorccb5507cec15無授權條款10K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

Launch both thermo-nuclear review subagents in parallel, then synthesize their findings. Use for thermos, double thermo review, or combined bug/security and code-quality branch audits.

AI 產生的概覽

平行執行兩個程式碼審查子代理,並將其發現綜整為一份依優先順序排列的結論。

功能
此技能以平行背景子代理的方式編排兩輪審查:一輪涵蓋缺陷、破壞性變更、安全性、開發者體驗退步與功能旗標外洩,另一輪涵蓋可維護性、結構、檔案大小成長、程式碼混亂與抽象健康度。它蒐集差異與脈絡,將相同的限定素材傳給兩位審查者,再把結果合併為去重並依優先順序排列、附檔案參照的發現。最終輸出是一份統一結論,對重疊發現給予更高權重,並說明仍存在的不確定性。
適用情境
適用於對分支、提取要求或一組變更檔案進行缺陷、安全與程式碼品質的綜合審查。也適合被稱為 thermos 或雙重 thermo 審查的需求,也就是需要執行並協調兩種獨立審查視角。
執行需求
不隨附指令碼,僅為指示。需要支援以非同步背景任務方式啟動指定子代理類型的代理環境。

Thermos

Run the two thermo review passes as async background subagents in parallel, then synthesize their results.

Workflow

  1. Determine the review scope from the user request, PR, current branch, or relevant changed files.
  2. Gather the diff and any file/context excerpts needed for reviewers to evaluate the change without guessing.
  3. Launch both subagents in the same message with run_in_background: true:
    • subagent_type: "thermo-nuclear-review-subagent" for bugs, breakages, security, devex regressions, feature-flag leaks, and other branch-audit risks.
    • subagent_type: "thermo-nuclear-code-quality-review-subagent" for maintainability, structure, file-size growth, spaghetti, abstractions, and codebase-health risks.
  4. Pass each subagent the same scoped diff/file context and ask it to return prioritized findings with file references and evidence.
  5. After both finish, synthesize the results with findings first, deduplicated across reviewers. Weight overlapping findings more heavily, resolve disagreements with your own judgment, and keep summaries brief.

If individual background summaries are already visible to the user, do not restate them wholesale. Surface the unified verdict, the highest-signal findings, and any remaining uncertainty.

來源與署名

來源:cursor/plugins位於thermos/skills/thermos提交ccb5507

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