Pullfrog workflow (karol-broda/snitch)

The Pullfrog workflow from karol-broda/snitch, explained and optimized by Latchkey.

CI health: B - good

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Source: karol-broda/snitch.github/workflows/pullfrog.ymlLicense MITView source

What it does

This is the Pullfrog workflow from the karol-broda/snitch repository, a real project running GitHub Actions. It is shown here with attribution under its MIT license.

Below, Latchkey shows a faster, safer version produced by its optimization engine.

The workflow

workflow (.yml)

# PULLFROG ACTION - DO NOT EDIT EXCEPT WHERE INDICATED
name: Pullfrog
run-name: ${{ inputs.name || github.workflow }}
on:
  workflow_dispatch:
    inputs:
      prompt:
        type: string
        description: Agent prompt
      name:
        type: string
        description: Run name

permissions:
  contents: read

jobs:
  pullfrog:
    runs-on: ubuntu-latest
    permissions:
      id-token: write
      contents: read
    steps:
      - name: Checkout code
        uses: actions/checkout@v6
        with:
          fetch-depth: 1
      - name: Run agent
        uses: pullfrog/pullfrog@v0
        with:
          prompt: ${{ inputs.prompt }}
        env:
          # add at least one provider API key
          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
          CLAUDE_CODE_OAUTH_TOKEN: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
          GOOGLE_GENERATIVE_AI_API_KEY:
            ${{ secrets.GOOGLE_GENERATIVE_AI_API_KEY }}
          GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
          XAI_API_KEY: ${{ secrets.XAI_API_KEY }}
          DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}
          MOONSHOT_API_KEY: ${{ secrets.MOONSHOT_API_KEY }}
          OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
          OPENCODE_API_KEY: ${{ secrets.OPENCODE_API_KEY }}
          
          # for Amazon Bedrock (https://docs.pullfrog.com/bedrock)
          # AWS_BEARER_TOKEN_BEDROCK: ${{ secrets.AWS_BEARER_TOKEN_BEDROCK }}
          # AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
          # AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
          # AWS_REGION: us-east-1
          # BEDROCK_MODEL_ID: <bedrock-model-id>
          
          # for Google Vertex AI (https://docs.pullfrog.com/vertex)
          # VERTEX_SERVICE_ACCOUNT_JSON: ${{ secrets.VERTEX_SERVICE_ACCOUNT_JSON }}
          # GOOGLE_CLOUD_PROJECT: my-project
          # VERTEX_LOCATION: global
          # VERTEX_MODEL_ID: <vertex-model-id>

The same workflow, on Latchkey

Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.

# PULLFROG ACTION - DO NOT EDIT EXCEPT WHERE INDICATED
name: Pullfrog
run-name: ${{ inputs.name || github.workflow }}
on:
  workflow_dispatch:
    inputs:
      prompt:
        type: string
        description: Agent prompt
      name:
        type: string
        description: Run name
 
permissions:
  contents: read
 
jobs:
  pullfrog:
    timeout-minutes: 30
    runs-on: latchkey-small
    permissions:
      id-token: write
      contents: read
    steps:
      - name: Checkout code
        uses: actions/checkout@v6
        with:
          fetch-depth: 1
      - name: Run agent
        uses: pullfrog/pullfrog@v0
        with:
          prompt: ${{ inputs.prompt }}
        env:
          # add at least one provider API key
          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
          CLAUDE_CODE_OAUTH_TOKEN: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
          GOOGLE_GENERATIVE_AI_API_KEY:
            ${{ secrets.GOOGLE_GENERATIVE_AI_API_KEY }}
          GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
          XAI_API_KEY: ${{ secrets.XAI_API_KEY }}
          DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}
          MOONSHOT_API_KEY: ${{ secrets.MOONSHOT_API_KEY }}
          OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
          OPENCODE_API_KEY: ${{ secrets.OPENCODE_API_KEY }}
          
          # for Amazon Bedrock (https://docs.pullfrog.com/bedrock)
          # AWS_BEARER_TOKEN_BEDROCK: ${{ secrets.AWS_BEARER_TOKEN_BEDROCK }}
          # AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
          # AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
          # AWS_REGION: us-east-1
          # BEDROCK_MODEL_ID: <bedrock-model-id>
          
          # for Google Vertex AI (https://docs.pullfrog.com/vertex)
          # VERTEX_SERVICE_ACCOUNT_JSON: ${{ secrets.VERTEX_SERVICE_ACCOUNT_JSON }}
          # GOOGLE_CLOUD_PROJECT: my-project
          # VERTEX_LOCATION: global
          # VERTEX_MODEL_ID: <vertex-model-id>

What changed

Run on Latchkey managed runners with one line (runs-on), which apply the fixes below automatically and self-heal transient failures. This example uses latchkey-small; pick the runner size that fits the job.
Add a job timeout so a hung step cannot burn hours of runner time.

1 third-party action is referenced by a movable tag. Pin it to the commit SHA (Latchkey resolves and applies this automatically) so a repointed tag cannot change what runs.

This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.

Actions used in this workflow

actions/checkout