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CI/CD Environments

goose isn’t just useful on your local machine, it can also streamline tasks in CI/CD environments. By integrating goose into your pipeline, you can automate tasks such as:

  • Code reviews
  • Documentation checks
  • Build and deployment workflows
  • Infrastructure and environment management
  • Rollbacks and recovery processes
  • Intelligent test execution

This guide walks you through setting up goose in your CI/CD pipeline, with a focus on using GitHub Actions for code reviews.

Using goose with GitHub Actions​

You can run goose directly within GitHub Actions. Follow these steps to set up your workflow.

TLDR
Copy the GitHub Workflow
goose.yml


name: goose

on:
pull_request:
types: [opened, synchronize, reopened, labeled]

permissions:
contents: write
pull-requests: write
issues: write

env:
PROVIDER_API_KEY: ${{ secrets.REPLACE_WITH_PROVIDER_API_KEY }}
PR_NUMBER: ${{ github.event.pull_request.number }}
GH_TOKEN: ${{ github.token }}

jobs:
goose-comment:
name: goose Comment
runs-on: ubuntu-latest
steps:
- name: Check out repository
uses: actions/checkout@v4
with:
fetch-depth: 0

- name: Gather PR information
run: |
{
echo "# Files Changed"
gh pr view $PR_NUMBER --json files \
-q '.files[] | "* " + .path + " (" + (.additions|tostring) + " additions, " + (.deletions|tostring) + " deletions)"'
echo ""
echo "# Changes Summary"
gh pr diff $PR_NUMBER
} > changes.txt

- name: Install goose CLI
run: |
mkdir -p /home/runner/.local/bin
curl -fsSL https://github.com/block/goose/releases/download/stable/download_cli.sh \
| CONFIGURE=false GOOSE_BIN_DIR=/home/runner/.local/bin bash
echo "/home/runner/.local/bin" >> $GITHUB_PATH

- name: Configure goose
run: |
mkdir -p ~/.config/goose
cat <<EOF > ~/.config/goose/config.yaml
GOOSE_PROVIDER: REPLACE_WITH_PROVIDER
GOOSE_MODEL: REPLACE_WITH_MODEL
keyring: false
EOF

- name: Create instructions for goose
run: |
cat <<EOF > instructions.txt
Create a summary of the changes provided. Don't provide any session or logging details.
The summary for each file should be brief and structured as:
<filename/path (wrapped in backticks)>
- dot points of changes
You don't need any extensions, don't mention extensions at all.
The changes to summarise are:
$(cat changes.txt)
EOF

- name: Test
run: cat instructions.txt

- name: Run goose and filter output
run: |
goose run --instructions instructions.txt | \
# Remove ANSI color codes
sed -E 's/\x1B\[[0-9;]*[mK]//g' | \
# Remove session/logging lines
grep -v "logging to /home/runner/.config/goose/sessions/" | \
grep -v "^starting session" | \
grep -v "^Closing session" | \
# Trim trailing whitespace
sed 's/[[:space:]]*$//' \
> pr_comment.txt

- name: Post comment to PR
run: |
cat -A pr_comment.txt
gh pr comment $PR_NUMBER --body-file pr_comment.txt

1. Create the Workflow File​

Create a new file in your repository at .github/workflows/goose.yml. This will contain your GitHub Actions workflow.

2. Define the Workflow Triggers and Permissions​

Configure the action such that it:

  • Triggers the workflow when a pull request is opened, updated, reopened, or labeled
  • Grants the necessary permissions for goose to interact with the repository
  • Configures environment variables for your chosen LLM provider
name: goose

on:
pull_request:
types: [opened, synchronize, reopened, labeled]

permissions:
contents: write
pull-requests: write
issues: write

env:
PROVIDER_API_KEY: ${{ secrets.REPLACE_WITH_PROVIDER_API_KEY }}
PR_NUMBER: ${{ github.event.pull_request.number }}

3. Install and Configure goose​

To install and set up goose in your workflow, add the following steps:

steps:
- name: Install goose CLI
run: |
mkdir -p /home/runner/.local/bin
curl -fsSL https://github.com/block/goose/releases/download/stable/download_cli.sh \
| CONFIGURE=false GOOSE_BIN_DIR=/home/runner/.local/bin bash
echo "/home/runner/.local/bin" >> $GITHUB_PATH

- name: Configure goose
run: |
mkdir -p ~/.config/goose
cat <<EOF > ~/.config/goose/config.yaml
GOOSE_PROVIDER: REPLACE_WITH_PROVIDER
GOOSE_MODEL: REPLACE_WITH_MODEL
keyring: false
EOF
Replacements

Replace REPLACE_WITH_PROVIDER and REPLACE_WITH_MODEL with your LLM provider and model names and add any other necessary configuration required.

4. Gather PR Changes and Prepare Instructions​

This step extracts pull request details and formats them into structured instructions for goose.

    - name: Create instructions for goose
run: |
cat <<EOF > instructions.txt
Create a summary of the changes provided. Don't provide any session or logging details.
The summary for each file should be brief and structured as:
<filename/path (wrapped in backticks)>
- dot points of changes
You don't need any extensions, don't mention extensions at all.
The changes to summarise are:
$(cat changes.txt)
EOF

5. Run goose and Clean Output​

Now, run goose with the formatted instructions and clean the output by removing ANSI color codes and unnecessary log messages.

    - name: Run goose and filter output
run: |
goose run --instructions instructions.txt | \
# Remove ANSI color codes
sed -E 's/\x1B\[[0-9;]*[mK]//g' | \
# Remove session/logging lines
grep -v "logging to /home/runner/.config/goose/sessions/" | \
grep -v "^starting session" | \
grep -v "^Closing session" | \
# Trim trailing whitespace
sed 's/[[:space:]]*$//' \
> pr_comment.txt

6. Post Comment to PR​

Finally, post the goose output as a comment on the pull request:

    - name: Post comment to PR
run: |
cat -A pr_comment.txt
gh pr comment $PR_NUMBER --body-file pr_comment.txt

With this workflow, goose will run on pull requests, analyze the changes, and post a summary as a comment on the PR.

This is just one example of what's possible. Feel free to modify your GitHub Action to meet your needs.


Security Considerations​

When running goose in a CI/CD enviroment, keep these security practices in mind:

  1. Secret Management

    • Store your sensitive credentials (like API keys) as GitHub Secrets.
    • Never expose these credentials in logs or PR comments.
  2. Principle of Least Privilege

    • Grant only the necessary permissions in your workflow and regularly audit them.
  3. Input Validation

    • Ensure any inputs passed to goose are sanitized and validated to prevent unexpected behavior.