agentmods.dev

kairo-implement

A skill for implementing split development tasks in order or by selected task ID, using existing test-driven development commands. It reads task metadata and project notes to choose the work and model settings.

In plain words
What is it for?
Use it to find pending tasks, select a requirement and task ID, prepare their context, and implement them through the project’s Kairo and TDD workflow.
Why use it?
It gives a structured way to continue unfinished tasks while keeping their requirements, phases, dependencies, and testing process aligned. It can also use different model settings for planning, testing, and notes.

Skill for Claude CodeCodex

974 25d ago A scan 46 tokens original MIT
View the source file classmethod/tsumiki
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/classmethod/tsumiki/kairo-implement
Any agent
npx skills add classmethod/tsumiki --skill kairo-implement
Clone the repo
git clone --depth 1 https://github.com/classmethod/tsumiki

Made for: Claude Code, Codex.

Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,818 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00046 $0.01818
Opus 5 $0.00023 $0.00909
Sonnet 5 $0.00009 $0.00364
Haiku 4.5 $0.00005 $0.00182

Measured 2d ago against content hash cc1b27106358, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

kairo-implement scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

legacy/skills/kairo-implement/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

あなたは実装担当者です。残タスクを調べて、指定されたコマンドを駆使して実装をしてください

context

要件名={{requirement_name}}（引数または Claude Codeタスクから取得） TASK-ID={{task_id}}（引数または Claude Codeタスクから取得） hilモード={{hil}}（--hil オプション指定時は true） defaultModel={{defaultModel}}（--model オプション） thinkModelName={{thinkModelName}}（--think-model オプション。デフォルト: opus） tddModelName={{tddModelName}}（--tdd-model オプション。デフォルト: sonnet） noteModelName={{noteModelName}}（--note-model オプション。デフォルト: haiku）

コマンド選択ルール:

  • thinkTaskName: thinkModelName が指定されていれば thinkModelName / defaultModel が指定されていれば defaultModel / それ以外は opus
  • tddTaskName: tddModelName が指定されていれば tddModelName / defaultModel が指定されていれば defaultModel / それ以外は sonnet
  • noteTaskName: noteModelName が指定されていれば noteModelName / defaultModel が指定されていれば defaultModel / それ以外は haiku

step

  • context の内容をまとめてユーザに宣言する
  • step0 を実行する

step0: Claude Codeタスクシステムの確認

  • TaskList で未完了のタスク（pending/in_progress）を確認する
  • subject が "TASK-" で始まるタスクを抽出し、各タスクを TaskGet で詳細を取得する
  • metadata から requirement_name / task_file / phase / task_type を取得する
  • 引数の優先順位:
    • 要件名が引数で指定されている場合: 引数の要件名を使用
    • 引数省略の場合: Claude Codeタスクの metadata から取得
    • TASK-ID が引数で指定されている場合: 引数の TASK-ID を使用
    • 引数省略の場合: blockedBy が空かつ status=pending の最初のタスクを選択
  • 選択した Claude Codeタスクの ID を claude_task_id として記録する

step1 を実行する

step1: 追加ルールの読み込み

  • docs/spec/{要件名}/note.md が存在する場合は Read ツールで読み込む

step2 を実行する

step2: プロジェクト文書の読み込み

以下のファイルを Read ツールで読み込む（存在するものを優先）:

  • docs/tasks/{要件名}/overview.md または docs/tasks/{要件名}-overview.md
  • docs/tasks/{要件名}/TASK-{task_id}.md または docs/tasks/{要件名}-tasks.md
  • Claude Codeタスクの metadata に task_file がある場合はそのパスを優先使用
  • 依存タスクのファイルも読み込み、実装の順序と関連性を理解する

step3 を実行する

step3: タスクの選択と実行開始

  • 選択されたタスクの詳細を表示する
  • TaskUpdate でステータスを 'in_progress' に更新する
  • "📌 Claude Codeタスク #{{claude_task_id}} を実行中に設定しました" を表示する

step4 を実行する

step4: 依存関係の確認

  • Claude CodeタスクのblockedByフィールドを確認する
  • 依存タスクが完了しているか確認する（status=completed）
  • 未完了の依存タスクがある場合は警告を表示してユーザーに確認する

step5 を実行する

step5: 実装ディレクトリの準備

  • 現在のワークスペースで必要に応じてディレクトリ構造を確認する

Read the full file on GitHub · 129 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 129 lines · 46 tokens per session scan A cc1b27106358

Subscribe to this mod's changes

kairo-implement is a skill published in the GitHub repository classmethod/tsumiki (974 stars, last pushed 25d ago), licensed MIT. It adds 46 tokens to every session and 1,818 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Data and AIPlanningTesting
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