Colin McDonnell e2e29a19fc accept pullfrog.yaml as well as pullfrog.yml (#596)
* accept pullfrog.yaml as well as pullfrog.yml

centralize the accepted workflow filenames in `utils/github/pullfrogWorkflow.ts`
(`PULLFROG_WORKFLOW_FILES = ["pullfrog.yml", "pullfrog.yaml"]`) and use the new
`findExistingWorkflowFile` helper at every read path: `getWorkflow` (cached),
the verify-workflow API route, and the audit/sync/download/update scripts. `.yml`
is always tried first so the common case still costs exactly one API call.

webhook handlers (push cache-bust, `workflow_run_*`) now use the shared
`isPullfrogWorkflowPath` matcher.

action runtime (`reviewCleanup.ts`) derives the running workflow's filename from
`process.env.GITHUB_WORKFLOW_REF` instead of hardcoding `.yml`, so the safety-net
follow-up dispatch targets whichever file the user actually has — strictly more
correct than today.

write paths (`createWorkflowForRepo`, `createWorkflowPR`) intentionally still
create `.yml`; existing 422 collision handling covers the rare double-install
case. UI/wiki/onboarding copy keeps saying `pullfrog.yml`; one callout in
`docs/getting-started.mdx` mentions `.yaml` works too.

also drops dead code (`utils/github/findWorkflow.ts`, parallel single-file
implementation with no importers) and the now-unused `WORKFLOW_FILENAME` export.

* rename pullfrogWorkflow.ts -> findPullfrogWorkflow.ts (verb form)

* add pre-flight check to workflow create paths

`createWorkflowForRepo` and `createWorkflowPR` now check for any existing
pullfrog workflow file (`.yml` or `.yaml`) before doing work, preventing the
degenerate state where a repo with `pullfrog.yaml` ends up with both files
dispatching on every event.

costs one `getContent` call per first-time install. existing 422 branch in
`createWorkflowForRepo` is retained as a race-condition safety net; the 409
branch now also handles the case where `createWorkflowPR` discovers an
existing file in flight.

`createWorkflowPR` return shape becomes a discriminated union; the standalone
`/api/create-workflow-pr` route returns `{ alreadyInstalled: true }` instead
of creating a redundant PR.

* promote repo to active when /api/create-workflow-pr finds existing workflow

extracts `promoteRepoToActive` from `createWorkflowForRepo`'s closure to a
shared module-level function, and wires it into the standalone PR route's
`alreadyInstalled` branch so a `needs_setup` repo with an existing `.yaml`
file doesn't go stale (was only handled by the dashboard's own create path).

addresses pullfrog review on #596.
2026-05-07 18:04:07 +00:00
2026-01-16 08:00:16 +00:00
2026-03-12 05:22:51 +00:00
2025-08-27 16:53:48 -07:00
2026-01-19 08:41:56 +00:00
2026-03-12 05:22:51 +00:00
2026-03-12 05:22:51 +00:00

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Pullfrog

Bring your favorite coding agent into GitHub


🚀 Pullfrog is in beta! We're onboarding users in waves. Get on the waitlist →


What is Pullfrog?

Pullfrog is a GitHub bot that brings the full power of your favorite coding agents into GitHub. It's open source and powered by GitHub Actions.

  • Tag @pullfrog — Tag @pullfrog in a comment anywhere in your repo. It will pull in any relevant context using the action's internal MCP server and perform the appropriate task.
  • Prompt from the web — Trigger arbitrary tasks from the Pullfrog dashboard
  • Automated triggers — Configure Pullfrog to trigger agent runs in response to specific events. Each of these triggers can be associated with custom prompt instructions.
    • issue created
    • issue labeled
    • PR created
    • PR review created
    • PR review requested
    • and more...

Pullfrog is the bridge between your preferred coding agents and GitHub. Use it for:

  • 🤖 Coding tasks — Tell @pullfrog to implement something and it'll spin up a PR. If CI fails, it'll read the logs and attempt a fix automatically. It'll automatically address any PR reviews too.
  • 🔍 PR review — Coding agents are great at reviewing PRs. Using the "PR created" trigger, you can configure Pullfrog to auto-review new PRs.
  • 🤙 Issue management — Via the "issue created" trigger, Pullfrog can automatically respond to common questions, create implementation plans, and link to related issues/PRs. Or (if you're feeling lucky) you can prompt it to immediately attempt a PR addressing new issues.
  • Literally whatever — Want to have the agent automatically add docs to all new PRs? Cut a new release with agent-written notes on every commit to main? Pullfrog lets you do it.

Standalone Usage

You can also use pullfrog/pullfrog as a step in your own workflows. The action exposes a result output that can be consumed by subsequent steps.

Example: Auto-generate release notes on new tags

name: Release
on:
  push:
    tags: ['v*']

permissions:
  contents: write

jobs:
  release:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout
        uses: actions/checkout@v4
        with:
          fetch-depth: 0

      - name: Generate release notes
        id: notes
        uses: pullfrog/pullfrog@v0
        with:
          prompt: |
            Generate release notes for ${{ github.ref_name }}.
            Compare commits between this tag and the previous tag.
            Format as markdown: summary paragraph, then ### Features, ### Fixes, ### Breaking Changes sections.
            Omit empty sections. Be concise.
        env:
          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}

      # write to file to avoid shell escaping issues with special characters
      - name: Create GitHub release
        run: |
          notesfile="$RUNNER_TEMP/release-notes-$GITHUB_RUN_ID.md"
          printf '%s' "$NOTES" > "$notesfile"
          gh release create ${{ github.ref_name }} --title "${{ github.ref_name }}" --notes-file "$notesfile"
        env:
          GH_TOKEN: ${{ github.token }}
          NOTES: ${{ steps.notes.outputs.result }}

Example: Structured Output with Zod Schema

You can force the agent to return structured JSON output by providing a JSON schema. This allows you to reliably parse and use the agent's response in subsequent workflow steps.

You can define your JSON schema directly or uou can use any validation library that converts to JSON Schema. Here's an example using Zod:

name: Release Check
on:
  pull_request:
    types: [closed]

jobs:
  check-release:
    if: github.event.pull_request.merged == true
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Install dependencies
        run: npm install --no-save --no-package-lock zod @actions/core

      - name: Generate Schema
        id: schema
        run: |
          node -e '
            import { z } from "zod";
            import { setOutput } from "@actions/core";
            const schema = z.object({
              version: z.string().describe("Semantic version number (e.g. 1.0.0)"),
              isBreaking: z.boolean().describe("Whether this release contains breaking changes"),
              changelog: z.array(z.string()).describe("List of changes in this release"),
            });
            setOutput("schema", JSON.stringify(z.toJSONSchema(schema)));
          '

      - name: Analyze PR
        id: analysis
        uses: pullfrog/pullfrog@v0
        with:
          prompt: |
            Analyze this PR and determine semantic versioning impact.
            Return a JSON object matching the provided schema.
          output_schema: ${{ steps.schema.outputs.schema }}
        env:
          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}

      - name: Process Result
        run: |
          # Parse the JSON result using fromJSON()
          echo "Version: ${{ fromJSON(steps.analysis.outputs.result).version }}"
          echo "Breaking: ${{ fromJSON(steps.analysis.outputs.result).isBreaking }}"
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