What is skill-dag-runner?

A task-runner method that represents work as a directed acyclic graph, or DAG: a list of tasks connected by dependencies, with no circular paths. The CLI coordinates the plan while Cursor carries out each task.

Use it to read task specifications, implement tasks, run tests and linting, and record whether each task succeeded or failed.

It prevents tasks from being run in the wrong order and makes independent work easier to organize.

skill-dag-runner — Cursor rule for Cursor by dewtech-technologies

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/dewtech-technologies/dare-method

Made for: Cursor.

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/rules/dewtech-technologies/dare-method/skill-dag-runner/github.svg)](https://agentmods.dev/rules/dewtech-technologies/dare-method/skill-dag-runner)

Your own site

<a href="https://agentmods.dev/rules/dewtech-technologies/dare-method/skill-dag-runner"><img src="https://agentmods.dev/badge/rules/dewtech-technologies/dare-method/skill-dag-runner/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/rules/dewtech-technologies/dare-method/skill-dag-runner"><img src="https://agentmods.dev/badge/rules/dewtech-technologies/dare-method/skill-dag-runner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Nothing until a file matches its globs; then the whole rule loads.

When invoked 2,507 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	$0.02507
Opus 5.5	$0.00000	$0.01003
Sonnet 5.5	$0.00000	$0.00501
Haiku 4.5	$0.00000	$0.00251

Measured 1mo ago against content hash 582acb94d661, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-dag-runner 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.

implementations/cursor/.cursor/rules/skill-dag-runner.mdc · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: DAG Task Runner

Quando usar

O BLUEPRINT.md foi aprovado e você precisa decompor em tasks executáveis
O usuário pediu para começar a execução do DAG
Existe DARE/dare-dag.yaml e você precisa entender, executar ou modificar
Aparece o canvas DARE/.canvas.md durante uma execução

Quem executa o quê

Você (Cursor) é o executor. O CLI dare é orquestrador.

A IDE em que você roda já está autenticada na conta do usuário
Você lê o dare-dag.yaml e as specs em DARE/EXECUTION/task-*.md
Você executa cada task — escreve código, roda testes, faz lint
Depois de cada task, você chama o CLI para registrar o resultado:
- dare execute --complete <task-id> --output "<resumo>"
- dare execute --fail <task-id> --reason "<mensagem>"
O CLI atualiza o canvas e popula o dare-graph automaticamente

Não há API key. Não há custo extra de tokens. Você usa o plano da IDE.

O que é o DAG do DARE

DARE/dare-dag.yaml é o plano de execução: um grafo direcionado acíclico em que cada nó é uma task atômica e as arestas são depends_on. O CLI ordena topologicamente (Kahn's algorithm) e indica em que ordem você deve executar. Tasks no mesmo rank podem rodar em paralelo (logicamente — você decide se literalmente fan-out ou roda uma após a outra).

rank 0:  task-001    task-002      ←  podem rodar juntas (sem depends_on)
rank 1:  task-003 (deps: 001, 002) ←  só após rank 0
rank 2:  task-004 (deps: 003)

Schema canônico do `dare-dag.yaml`

title: "<Nome do projeto> - Development Tasks"
version: "1.0.0"

limits:
  parent_context_chars: 2000   # snippet de cada output de pai injetado no filho
  task_output_chars: 4000      # cap do output capturado por task
  timeout_seconds: 600         # apenas referência; quem aborta é você

# Mapeamento complexity → modelo (referencial — você usa o modelo da sua IDE)
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: "Setup project structure"
    depends_on: []
    complexity: LOW
    spec_file: EXECUTION/task-001.md
    subtask_prompt: |
      <prompt completamente self-contained>

Read the full file on GitHub · 222 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.

1mo ago First seen · 222 lines · 0 tokens per session scan A 582acb94d661

Subscribe to this mod's changes

skill-dag-runner is a cursor rule published in the GitHub repository dewtech-technologies/dare-method (5 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,507 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.

Building agents Project management agentic-engineering ai-agents ai-assisted-development ai-coding anthropic claude

skill-dag-runner

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

Skill: DAG Task Runner

Quando usar

Quem executa o quê

O que é o DAG do DARE

Schema canônico do `dare-dag.yaml`

What this file has done since we first saw it

Other cursor rules, from other repositories

beads

ponytail

angular-20

dev-standard

prefer-assertions-over-defensive-checks

prefer-direct-imports-over-module-mocks

skill-dag-runner

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

Skill: DAG Task Runner

Quando usar

Quem executa o quê

O que é o DAG do DARE

Schema canônico do dare-dag.yaml

What this file has done since we first saw it

Other cursor rules, from other repositories

beads

ponytail

angular-20

dev-standard

prefer-assertions-over-defensive-checks

prefer-direct-imports-over-module-mocks

Schema canônico do `dare-dag.yaml`