A command for fully automating a coding task from clarifying the goal through planning, review, and execution. TDD means writing tests as part of the development process, and a plan file records the work and its checks.

Use it to expand an idea into requirements, write a dated implementation plan, run a pre-mortem to identify risks, review the plan, and execute it.

It removes repeated handoffs and confirmation steps while keeping the task structured and reviewable.

auto — Command for Claude Code by KaimingWan/oh-my-kiro

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.

Clone the repo

git clone --depth 1 https://github.com/KaimingWan/oh-my-kiro

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/commands/kaimingwan/oh-my-kiro/auto/github.svg)](https://agentmods.dev/commands/kaimingwan/oh-my-kiro/auto)

Your own site

<a href="https://agentmods.dev/commands/kaimingwan/oh-my-kiro/auto"><img src="https://agentmods.dev/badge/commands/kaimingwan/oh-my-kiro/auto/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/commands/kaimingwan/oh-my-kiro/auto"><img src="https://agentmods.dev/badge/commands/kaimingwan/oh-my-kiro/auto.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 606 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00606
Opus 5.5	$0.00000	$0.00242
Sonnet 5.5	$0.00000	$0.00121
Haiku 4.5	$0.00000	$0.00061

Measured 2mo ago against content hash 144ace81dfe2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

auto 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 2mo 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.

commands/auto.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You MUST follow this exact sequence. @auto is a fully automated pipeline — no user confirmation between stages except during Expansion questions.

Stage 1: Expansion (Phase 0 + Readiness Check)

Follow skills/omk-planning/SKILL.md Phase 0 including Step 6: Readiness Check.

Run the 4-dimension checklist (Goal / Constraints / Success Criteria / Context)
If any dimension is ❌, ask the user ONE question (with Challenge Modes on 2nd+ question)
Once all dimensions are ✅, generate a one-paragraph spec summarizing the validated understanding
touch .brainstorm-confirmed

Difference from @plan: @plan waits for explicit user confirmation after Phase 0. @auto proceeds automatically once Readiness Check passes.

Stage 2: Planning (Phase 1)

Read skills/omk-planning/SKILL.md Phase 1. Write plan to docs/plans/<date>-<slug>.md with Goal, Tasks (TDD structure), ## Review, and ## Checklist with verify commands.

Follow all Checklist Structure Rules from commands/plan.md Step 2.

Stage 3: Review (Phase 1.5 + Pre-mortem)

Follow skills/omk-planning/SKILL.md Phase 1.5:

Run Pre-mortem Analysis — identify 3 failure risks (Integration / Assumption / Environment)
Select review angles (2 fixed + 2 random = 4 reviewers)
Dispatch 4 reviewer subagents in parallel with pre-mortem questions injected

Handling REQUEST CHANGES:

@auto autonomously revises the plan based on reviewer feedback (max 2 revision rounds)
After each revision, re-dispatch reviewers for the changed sections
If still REQUEST CHANGES after 2 rounds: STOP and tell the user what remains unresolved. User must intervene manually.

Stage 4: Execution

After all reviewers APPROVE (or after user resolves remaining issues):

Write plan path to docs/plans/.active
unlink .brainstorm-confirmed 2>/dev/null || true
Auto-commit plan artifacts (explicit file paths only, never git add -A)
Run @execute to launch task execution

Stage 5: Completion

When execution finishes:

Report final status (completed / remaining / skipped items)
If items remain, summarize what failed and suggest next steps
Clean up .active if all items completed

Read the full file on GitHub · 50 lines

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.

2mo ago First seen · 50 lines · 0 tokens per session scan A 144ace81dfe2

Subscribe to this mod's changes

auto is a command published in the GitHub repository KaimingWan/oh-my-kiro (107 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 606 tokens. 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.

Building agents Planning

auto next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
autoKaimingWan/oh-my-kiro	Command	107	7mo ago	MIT	A	0	Claude Code
checklistgithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
clarifygithub/spec-kit	Command	148k	yesterday	MIT	A	27	Claude Code
specifygithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
analyzegithub/spec-kit	Command	148k	yesterday	MIT	A	26	Claude Code
convergegithub/spec-kit	Command	148k	yesterday	MIT	A	35	Claude Code
implementgithub/spec-kit	Command	148k	yesterday	MIT	A	14	Claude Code