Browser

# Bare-metal: stealth + headed for the hardest tier
curl -fsSL https://comis.ai/install.sh | bash -s -- --with-cloakbrowser --with-xvfb

# Docker: same matrix via build args
docker build \
  --build-arg COMIS_WITH_CLOAKBROWSER=1 \
  --build-arg COMIS_WITH_XVFB=1 \
  -t comisai/comis:cloak-xvfb .

# Docker: validate via install.sh-based image (same end state, exercises
# the actual installer path)
docker build -f Dockerfile.install \
  --build-arg COMIS_WITH_CLOAKBROWSER=1 \
  --build-arg COMIS_WITH_XVFB=1 \
  -t comis-installed:cloak-xvfb .

# 1. Make sure the browser is running
action: status
# (start it if not)
action: start

# 2. Open the target URL in a new tab
action: open
targetUrl: "https://app.example.com/login"

# 3. Read the page structure to find the login form
action: snapshot
snapshotFormat: ai
interactive: true

# 4. Fill credentials using the refs from the snapshot
action: act
request:
  kind: fill
  fields:
    - { ref: "email-input", value: "agent@example.com" }
    - { ref: "password-input", value: "${LOGIN_PASSWORD}" }
# (the value substitution happens at the agent layer; the secret store
# resolves ${LOGIN_PASSWORD} to the encrypted value)

# 5. Submit the form
action: act
request:
  kind: click
  ref: "submit-button"

# 6. Wait for the dashboard to render after login
action: act
request:
  kind: wait
  textGone: "Signing in..."

# 7. Navigate to the data view
action: navigate
targetUrl: "https://app.example.com/dashboard/metrics"

# 8. Read the rendered DOM via accessibility tree
action: snapshot
snapshotFormat: ai
maxChars: 5000

# 9. Capture a screenshot for the response
action: screenshot
fullPage: true