dare-review

dare-review is a command for Claude Code from dewtech-technologies/dare-method. It costs 0 tokens per session (1,238 once invoked), scanned A, original, MIT.

A code-review command that compares a completed task with its written specification and the actual files it changed. It checks whether the promised behavior was really implemented.

In plain words
What is it for?
Use it to review a task against its acceptance criteria and combine automated checks with a written implementation report.
Why use it?
It catches unfinished code, fake returns, leftover TODOs, and test-only shortcuts before a task is marked done.

Command for Claude Code

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 commands/dewtech-technologies/dare-method/dare-review
Clone the repo
git clone --depth 1 https://github.com/dewtech-technologies/dare-method

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.

agentmods badge for dare-review

README.md
[![agentmods](https://agentmods.dev/badge/commands/dewtech-technologies/dare-method/dare-review.svg)](https://agentmods.dev/commands/dewtech-technologies/dare-method/dare-review)
Your own site
<a href="https://agentmods.dev/commands/dewtech-technologies/dare-method/dare-review"><img src="https://agentmods.dev/badge/commands/dewtech-technologies/dare-method/dare-review.svg" alt="Measured on agentmods" 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 1,238 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 $0.00000 $0.01238
Opus 5 $0.00000 $0.00619
Sonnet 5 $0.00000 $0.00248
Haiku 4.5 $0.00000 $0.00124

Measured yesterday against content hash cfdc010a6dbe, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dare-review 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 yesterday.

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.

implementations/claude/.claude/commands/dare-review.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Comando: /dare-review

Equivalente no terminal: dare review <task-id> --ai

Descrição

Audita uma task implementada cruzando a spec (DARE/EXECUTION/<id>.md) com os arquivos reais que ela tocou. Detecta stubs, mocks fora de testes, funções vazias, TODOs, retorno-fantasma — e valida critério-a-critério se a implementação satisfaz o que a spec prometeu.

Esta é a camada semântica do review. A camada estática (regex / patterns) já é feita automaticamente pelo CLI quando você roda dare review <task-id>. Este comando combina as duas: rode a estática via CLI, gere um verdito semântico aqui, e produza um relatório fundido.

Quando rodar

  • Antes de marcar uma task como DONE (gate obrigatório no Definition of Done do TASK-SPEC)
  • Quando o dare review <id> estático passa mas você quer validação adicional contra a spec
  • Quando o dev pede revisão manual: /dare-review task-034

Como executar

1. Validar argumento

$ARGUMENTS deve conter o task-id (ex.: task-034). Se vazio, peça.

2. Rodar a camada estática primeiro

dare review $ARGUMENTS --format json > .dare/review-static-$ARGUMENTS.json

Leia esse JSON. Se já houver erros estáticos, reporte-os primeiro e pergunte se quer prosseguir com a análise semântica mesmo assim (geralmente não vale — corrige os erros estáticos antes).

3. Carregar contexto

  • DARE/EXECUTION/$ARGUMENTS.md — spec da task
  • Cada arquivo listado na seção 3 da spec ("ARQUIVOS A CRIAR / MODIFICAR")
  • DARE/BLUEPRINT.md — contratos de API / modelos referenciados

4. Auditoria critério-a-critério

Para cada item nas seções abaixo da spec, marque ✅ / ❌:

4.1 Objetivo (seção 1)

A implementação atinge o estado observável que a seção 1 promete? Encontre evidência concreta (arquivo + linha) ou marque como não atendido.

4.2 Arquivos a criar / modificar (seção 3)
  • Todos os arquivos da tabela existem com o conteúdo descrito?
  • Há arquivos não listados que deveriam estar lá?

Read the full file on GitHub · 117 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.

  1. yesterday First seen · 117 lines · 0 tokens per session scan A cfdc010a6dbe

Subscribe to this mod's changes

dare-review is a command published in the GitHub repository dewtech-technologies/dare-method (5 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,238 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 2026-09-03.