* adhoc: push:restricted adversarial pentest
enumerates the 16 attack vectors the deep audit identified as load-bearing
for `push: restricted`. used to drive e2e verification against the preview
repo's pullfrog.yml; also runnable via pnpm runtest locally.
validator only asserts that the repo's default branch SHA didn't move —
the per-attack outputs are the deliverable for human review (the test
exists to feed adversarial runs, not to be a CI guard).
* wipe runner leak surface before agent spawn
the GHA runner persists credentials inside $RUNNER_TEMP that an MCP-shell
agent can grep — _runner_file_commands/set_output_* (from any composite
step that called core.setOutput, e.g. pullfrog/pullfrog/get-installation-token
which leaks a ghs_… installation token), <uuid>.sh rendered step scripts
(whose run: | body embeds ${{ ... }} expressions literally before write),
and git-credentials-*.config from actions/checkout@v6.
snapshot-and-delete that surface at action startup, after our own token is
in memory and before setupGit. preserves $GITHUB_OUTPUT, $GITHUB_ENV, and
$GITHUB_STATE so pullfrog's result output and post: hook still work.
setupGit's existing removeIncludeIfEntries call strips the matching
dangling includeIf.gitdir:....path entries from the user's .git/config.
does not tighten isGitCommand — that's a UX guard, not a security
boundary, and trivially bypassable via bash -c, absolute paths, symlinks,
python subprocess. the security boundary is the absence of credentials on
disk for those bypassed shells to authenticate with.
verified end-to-end by re-firing action/test/adhoc/pushRestrictedAdversarial
against pullfrog/preview-827-push-restricted-pentest.
* preserve all runner file-command paths from wipe
addresses pullfrog review on f7f5143b: GITHUB_STEP_SUMMARY also lives at
$RUNNER_TEMP/_runner_file_commands/step_summary_<uuid> and is read by the
runner AFTER our step exits to render the job summary in the GH UI. wiping
it silently broke pullfrog's job summary output. preserve GITHUB_PATH too
for symmetry — it's the same allocation pattern, and a step or post hook
that appends a directory expects the file to exist.
set of file-command env vars enumerated in @actions/core:
GITHUB_ENV, GITHUB_OUTPUT, GITHUB_PATH, GITHUB_STATE, GITHUB_STEP_SUMMARY
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 }}"