* Update waitlist, run ralph experiments
* improve review quality: add --effort flag, subagent guidance, remove dead prompts
- add --effort high/max to Claude Code CLI (max for Opus, high for Sonnet/Haiku).
default was silently dropped from high to medium in March 2026.
- add subagent guidance to Review/IncrementalReview modeGuidance for parallel
investigation of large cross-cutting PRs (read-only, no side effects).
- remove "THINK HARDER" from mode prompts (vestigial, no longer controls thinking).
- remove redundant mode.prompt bodies from modes.ts — the actual guidance lives in
modeGuidance (selectMode.ts) and mode.prompt was dead code for all built-in modes
since the delegation system was removed in March.
Made-with: Cursor
* make Mode.prompt optional, remove ModeSchema dead code
prompt is only needed by custom user-defined modes (validated by Zod
modeSchema in utils/schemas/modes.ts). built-in modes get their guidance
from modeGuidance in selectMode.ts. the arktype ModeSchema was never
imported anywhere.
Made-with: Cursor
* make modes.ts the single source of truth for mode guidance
move all mode guidance from modeGuidance in selectMode.ts into
mode.prompt in modes.ts. selectMode.ts now only contains the runtime
tool logic (resolving modes, merging user instructions, handling
PlanEdit/SummaryUpdate overrides). this eliminates the confusing
fallback chain where someone editing mode instructions had to know
to look in selectMode.ts rather than modes.ts.
Made-with: Cursor
* add self-review subagent step to Build mode, update wiki
Build mode now delegates a read-only subagent to review the diff
before committing, catching bugs/logic errors/edge cases that the
builder might miss. Also updates wiki/modes.md to reflect the
single-source-of-truth architecture (modes.ts owns all guidance,
selectMode.ts is pure runtime logic).
Made-with: Cursor
* update model snapshot (openrouter qwen3.6-plus rename)
Made-with: Cursor
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:Releaseon:push:tags:['v*']permissions:contents:writejobs:release:runs-on:ubuntu-lateststeps:- name:Checkoutuses:actions/checkout@v4with:fetch-depth:0- name:Generate release notesid:notesuses:pullfrog/pullfrog@v0with: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 releaserun:| 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:${{ steps.notes.outputs.result }}
Example: Structured Output with Zod Schema
You can force the agent to return structured JSON output by providing a JSON schema. This allows you to reliably parse and use the agent's response in subsequent workflow steps.
You can define your JSON schema directly or uou can use any validation library that converts to JSON Schema. Here's an example using Zod:
name:Release Checkon:pull_request:types:[closed]jobs:check-release:if:github.event.pull_request.merged == trueruns-on:ubuntu-lateststeps:- uses:actions/checkout@v4- name:Install dependenciesrun:npm install --no-save --no-package-lock zod @actions/core- name:Generate Schemaid:schemarun:| node -e '
import { z } from "zod";
import { setOutput } from "@actions/core";
const schema = z.object({
version: z.string().describe("Semantic version number (e.g. 1.0.0)"),
isBreaking: z.boolean().describe("Whether this release contains breaking changes"),
changelog: z.array(z.string()).describe("List of changes in this release"),
});
setOutput("schema", JSON.stringify(z.toJSONSchema(schema)));
'- name:Analyze PRid:analysisuses:pullfrog/pullfrog@v0with:prompt:| Analyze this PR and determine semantic versioning impact.
Return a JSON object matching the provided schema.output_schema:${{ steps.schema.outputs.schema }}env:ANTHROPIC_API_KEY:${{ secrets.ANTHROPIC_API_KEY }}- name:Process Resultrun:| # Parse the JSON result using fromJSON()
echo "Version: ${{ fromJSON(steps.analysis.outputs.result).version }}"
echo "Breaking: ${{ fromJSON(steps.analysis.outputs.result).isBreaking }}"