使い方
- インストールコマンドをコピーし、自分の環境へ導入する前にソースを確認します。
- 必要なツール、認証情報、対応環境を原文で確認します。
- 入力と成果物を指定し、出力を資料と照合します。
npx skills add https://github.com/mariusflorescu/thermos-t3 --skill thermos開始前の確認
- 導入にはモデル契約、API枠、ファイルへのアクセス許可は含まれません。
- スター数や導入数は活動の指標であり、独立した品質・安全性試験ではありません。
見出し、例、コード、表、リンク、参照画像を含む原文を表示しています。
Thermos
A skill named in bold or in backticks, or run as /<name>, is the file ../<name>/SKILL.md beside this skill's directory. Read the file and follow it. These skills are user-only, so your skill tool cannot load them. This skill's directory is the one your harness gave when it loaded this file (Claude Code prints Base directory for this skill, Codex attaches the skill's <path>), else ~/.claude/skills/thermos/ on Claude Code and ~/.agents/skills/thermos/ on Codex.
Run the two thermo review passes as async background subagents in parallel, then synthesize their results.
Workflow
- Determine the review scope from the user request, PR, current branch, or relevant changed files.
- Gather the diff and any file/context excerpts needed for reviewers to evaluate the change without guessing.
- Launch both subagents in the same turn as
delegate_taskchildren withmode: "async", each with atitlenaming its pass and aclientRequestIdthat is stable across retries and new for each review round. They run on your model unless the user names another (omittarget). A child gets only its brief, so each brief opens with the text of its reviewer file, the file'sSKILL.mdplaceholder replaced by the absolute path of that rubric skill'sSKILL.md:
../thermo-nuclear-review/references/thermo-nuclear-review-subagent.mdfor bugs, breakages, security, devex regressions, feature-flag leaks, and other branch-audit risks.../thermo-nuclear-code-quality-review/references/thermo-nuclear-code-quality-review-subagent.mdfor maintainability, structure, file-size growth, spaghetti, abstractions, and codebase-health risks.
- Pass each subagent the same scoped diff/file context, under
### Git / diff outputand### Changed file contents, and ask it to return prioritized findings with file references and evidence. - End the turn after spawning. The completion notifications wake you. 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.


