* feat: add encrypted account-level secrets with UI for adding API keys
Adds AccountSecret model with AES-256-GCM encryption, API routes for
CRUD, "Add secret" button in model costs section, and injects decrypted
secrets into action env (YAML secrets take precedence).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: repo secrets, sidebar icons, lazy learnings history
- add repo-level secrets with inheritance from org secrets
- add icons to console sidebar sections
- fix learnings history modal: lazy fetch with hover prefetch,
strip content from list response, load content per-expansion
Made-with: Cursor
* add input validation bounds for secrets and fix client-side name filter
Made-with: Cursor
* refactor: migrate all client-side data fetching to TanStack Query
Replace manual useState/useEffect/fetch patterns and the custom
usePolling hook with useQuery, useInfiniteQuery, and useMutation
across the entire frontend for consistent caching, background
refetching, and reactive invalidation.
- ActiveWorkflowRunsSection: useQuery + refetchInterval
- WorkflowRunHistory: useInfiniteQuery + polling query
- LearningsSection: useQuery per revision (lazy)
- FlagsSettings: self-contained useQuery + useMutation
- SecretsCard: useMutation for delete
- AddWorkflowButton, VerifyWorkflowButton: useMutation
- EmailSignupForm, email-waitlist: useMutation
- providers.tsx: enable refetchOnWindowFocus
- Delete usePolling.ts (no remaining consumers)
Made-with: Cursor
* address PR review: squash migrations, rename accountSecrets → dbSecrets
Squash the two separate secrets migrations into a single migration.
Rename the wire format field from accountSecrets to dbSecrets since
it now carries merged account + repo secrets.
Made-with: Cursor
* fix: update proxyKeys.ts imports after cache.ts -> yes package migration
Made-with: Cursor
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
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 }}"