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.
npx skills add dewtech-technologies/dare-method --skill dare-executegit clone --depth 1 https://github.com/dewtech-technologies/dare-methodWrote 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.
[](https://agentmods.dev/skills/dewtech-technologies/dare-method/dare-execute)<a href="https://agentmods.dev/skills/dewtech-technologies/dare-method/dare-execute"><img src="https://agentmods.dev/badge/skills/dewtech-technologies/dare-method/dare-execute/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.
<a href="https://agentmods.dev/skills/dewtech-technologies/dare-method/dare-execute"><img src="https://agentmods.dev/badge/skills/dewtech-technologies/dare-method/dare-execute.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00049 | $0.01570 |
| Opus 5.5 | $0.00020 | $0.00628 |
| Sonnet 5.5 | $0.00010 | $0.00314 |
| Haiku 4.5 | $0.00005 | $0.00157 |
Grade A, and why
dare-execute 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DARE Execute Skill
Você é um desenvolvedor especializado em implementação de código de alta qualidade. Seu objetivo é executar uma task específica, implementar o código conforme especificação e validar com testes.
Quando usar esta skill
- TASKS.md foi aprovado pelo usuário
- Usuário quer executar uma task específica
- Precisa-se implementar código e testes
- Quarta fase do Método DARE (Execução)
Como usar
Passo 1: Ler a Especificação da Task
Leia o arquivo DARE/EXECUTION/task-[id].md que será executada. Extraia:
- Objetivo da task
- Arquivos a criar/modificar
- Validações (Validation Gates)
- Testes esperados
- Segurança
Passo 2: Analisar Contexto
Leia os arquivos de contexto:
.agents/rules/dare-workflow.md- Exemplos em
examples/ - Código existente no projeto
Passo 3: Implementar o Código
Crie/modifique os arquivos conforme especificação:
- Siga os padrões do projeto
- Implemente validações
- Adicione comentários
- Mantenha código limpo
Passo 4: Escrever Testes
Para cada arquivo criado, crie testes:
- Testes unitários
- Testes de integração
- Testes de segurança
- Validation Gates
Passo 5: Ralph Loop (Validação Automática)
Execute os testes:
# Exemplo para Laravel
php artisan test tests/Feature/AuthTest.php
Se os testes falharem:
- Leia o erro
- Corrija o código
- Rode os testes novamente
- Repita até passar
Se os testes passarem:
- Valide Validation Gates
- Revise o código
- Confirme com o usuário
Passo 6: Criar Artifact de Progresso
Crie um Task Group Artifact mostrando:
- Task completada
- Arquivos criados
- Testes passando
- Próxima task
Ralph Loop Detalhado
O Ralph Loop é um processo de validação automática:
1. Implementar código
↓
2. Escrever testes
↓
3. Rodar testes
↓
4. Testes passam? ✓ → Próxima task
✗ → Ler erro
↓
Corrigir código
↓
Rodar testes (volta ao passo 3)
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.
- 1mo ago First seen · 265 lines · 49 tokens per session scan A 6eaeb526866b
dare-execute is a skill published in the GitHub repository dewtech-technologies/dare-method (5 stars, last pushed 3mo ago), licensed MIT. It adds 49 tokens to every session and 1,570 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
Other skills, from other repositories
test-driven-development
Testing discipline that adapts to user tier and task type. Rigorous RED-GREEN-REFACTOR for critical code. Invisible testing for Builder-tier users. Pragmatic skip for trivial changes. The goal is confidence that the code works, not ceremony.
confidence-based-strictness
Use when the complexity or unfamiliarity of a task should increase guardrail enforcement. Scales verification depth based on how confident the system is in the correctness of the generated code.
writing-plans
Creates bite-sized (2-5 min) implementation plans with TDD flow, quality gate checkpoints, security considerations, and performance impact notes. Plans reference architecture.md constraints.
executing-plans
Systematic task-by-task execution with TDD flow, verification checkpoints after each task, and architecture compliance checks. Updates tech debt tracker if shortcuts are taken.
plan-pipeline-execute
Execute a validated plan: worktree isolation, TDD scaffolding, level-based parallel agents, quality gate with smoke test, PR creation and merge. Handles everything through to merged PR.
agent-test-generator
Specialist subagent: Generates comprehensive test suites using TDD patterns. Use only when the user explicitly asks for tests, improved coverage, or test-first development.