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SKILL verified MIT Self-run

Journey Deploy

skill-butterbase-ai-butterbase-skills-journey-deploy · by butterbase-ai

Use as the deploy-verification stage of the Butterbase journey, after journey-frontend (or after any build stage if there is no frontend). Smoke-tests the deployed app — hits the live URL, invokes any deployed functions, checks auth round-trip. Writes results to docs/butterbase/04-build-log.md. Blocks journey-submit if smoke fails.

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Install

$ agentstack add skill-butterbase-ai-butterbase-skills-journey-deploy

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ● Network access Used
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Journey: Deploy verification

Stage 4 of the guided journey. Verify the deployed app actually works end-to-end.

When to use

  • Dispatched by journey when current_stage: deploy.
  • Directly via /butterbase-skills:journey-deploy.

Preflight

If docs/butterbase/03-preflight.md is missing, older than 24 hours, or 00-state.md has app_id: null, invoke butterbase-skills:journey-preflight first. Wait for it to return successfully before proceeding.

Inputs

  • docs/butterbase/00-state.md — for app_id, deployed_url.
  • docs/butterbase/02-plan.md — for the function list to smoke.
  • docs/butterbase/04-build-log.md — to know what shipped.

Procedure

  1. Refresh docs. Call butterbase_docs with topic: "frontend". For end-to-end smoke patterns, also WebFetch https://docs.butterbase.ai/deploy. Skip if cache is fresh.

For each check, log a one-line result to 04-build-log.md. Halt on the first ✗ and ask the user to fix or skip.

  1. Frontend reachable. If deployed_url is set, fetch it via Bash curl -sS -o /dev/null -w "%{http_code}" . Expect 200. Log deploy curl 200 ok or ... fail.
  1. Functions respond. For each function in the plan with HTTP trigger, call mcp__butterbase__invoke_function with a representative payload. Expect 2xx. Log per function.
  1. Auth round-trip (if configured). If the plan included OAuth, prompt the user: "Open , click 'Sign in with ', and confirm you land logged-in. Did it work? (yes/no)". Log the answer.
  1. Function logs clean. Call mcp__butterbase__manage_function action: get_logs for the most recent invocations. Show the user any error-level lines. Ask: "Anything concerning here? (no → continue, yes → fix and re-run)".
  1. If all checks pass, tick - [x] deploy in 00-state.md, set current_stage: submit (if hackathon_mode: true) or current_stage: done (otherwise).
  1. Return to journey orchestrator.

Outputs

  • Multiple lines in 04-build-log.md.
  • Updated 00-state.md.

Anti-patterns

  • ❌ Treating a 200 from the frontend root as proof the app works — actually invoke a function.
  • ❌ Skipping the auth round-trip check just because OAuth is configured server-side — judges will try to log in.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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