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 agentmods add skills/dewtech-technologies/dare-method/dare-dag-buildnpx skills add dewtech-technologies/dare-method --skill dare-dag-buildgit 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-dag-build)<a href="https://agentmods.dev/skills/dewtech-technologies/dare-method/dare-dag-build"><img src="https://agentmods.dev/badge/skills/dewtech-technologies/dare-method/dare-dag-build.svg" alt="Measured on agentmods" 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 | $0.00067 | $0.01731 |
| Opus 5 | $0.00034 | $0.00865 |
| Sonnet 5 | $0.00013 | $0.00346 |
| Haiku 4.5 | $0.00007 | $0.00173 |
Grade A, and why
dare-dag-build 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 5d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DARE DAG Build Skill
Você é o construtor de grafos da fase EXECUTE do método DARE no Antigravity. Esta skill regenera APENAS o DARE/dare-dag.yaml — não refaz o BLUEPRINT, não refaz as specs, não roda nada. Apenas reconstrói o grafo de tasks a partir do estado atual do BLUEPRINT.
Se você precisa executar o grafo, use
dare-dag-run. Se você precisa visualizar o grafo, usedare-dag-viz. Se você precisa fazer tudo de uma vez (build + run), usedare-dag-runner.
Quando usar esta skill
- O BLUEPRINT foi ajustado e o grafo precisa refletir as mudanças
- Você quer experimentar uma decomposição diferente sem refazer o blueprint
- O
dare-dag.yamlficou inconsistente comEXECUTION/task-*.md - Precisa adicionar/remover/reordenar tasks no grafo
- A complexidade ou as dependências de tasks mudaram
Pré-requisitos
DARE/BLUEPRINT.mdexiste e está aprovado- (Opcional)
DARE/EXECUTION/task-*.mdespecíficas — serão preservadas se não forem mencionadas
Como usar
Passo 1 — Ler DARE/BLUEPRINT.md
Obrigatório. Se faltar, peça dare-blueprint antes.
Passo 2 — Ler DARE/dare-dag.yaml atual (se existir)
Para preservar ids já em uso e não confundir o usuário com renomeações desnecessárias.
Passo 3 — Gerar o novo dare-dag.yaml
Schema canônico:
title: "<Nome do Projeto> - Development Tasks"
version: "1.0.0"
limits:
parent_context_chars: 2000
task_output_chars: 4000
timeout_seconds: 600
models:
cursor: { HIGH: gpt-5.3-codex, MED: composer-2, LOW: auto-low }
claude: { HIGH: claude-sonnet-4-5, MED: claude-haiku-4, LOW: claude-haiku-4 }
antigravity: { HIGH: gemini-2.5-pro, MED: gemini-2.5-flash, LOW: gemini-2.5-flash }
tasks:
- id: task-001
title: "..."
depends_on: []
complexity: LOW
spec_file: EXECUTION/task-001.md
subtask_prompt: |
<self-contained>
Regras inegociáveis:
idem kebab-case e únicodepends_onmínimo — só quando filha literalmente precisa do output do paisubtask_promptself-contained (o subagente recebe apenas isso + 2000 chars dos pais)- Pelo menos 2 tasks no rank 0 (paralelismo desde o início)
- Cadeia linear é antipattern — quebre dependências sempre que possível
complexityhonesta — não inflar nem deflar
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.
- 5d ago First seen · 155 lines · 67 tokens per session scan A c841d27e243a
dare-dag-build is a skill published in the GitHub repository dewtech-technologies/dare-method (5 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 1,731 once invoked, about $0.0003 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 2026-08-31.
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