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mattpocock/wizard

Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.

NewUpdated Sep 9, 2026

Wizard

A wizard is a bash script that walks a human, step by step, through a manual procedure that's tedious to do by hand and tedious to re-explain to an AI every time. It opens each URL, says exactly what to click and copy, captures the values, writes them where they belong (.env, GitHub secrets), confirms at every stage, and shows how many stages are left. It might configure third-party services, run a one-off migration, or move the project from one state to another.

The delightful UX is already solved by template.sh: stage-by-stage progress, confirmation gates, cross-platform URL opening (including WSL), hidden secret entry, idempotent .env upserts, gh secret/gh variable writes, and a closing summary. Your job is only to scope the procedure and author its stages. The library above the STAGES marker is identical in every wizard; that consistency is the point: never hand-edit it.

A wizard is ephemeral by default: built for one run, saved to a scratch or scripts/ path, deleted when the job's done. Commit it only when the user wants a repeatable setup path that should live in the repo.

Process

1. Scope the procedure

Work out every manual step the human must take and every value that gets captured along the way. Read the repo first, don't ask cold:

  • For setup: .env, .env.example, .env.*, README, docker-compose*, framework config, and .github/workflows/* (every secrets.* / vars.* reference is a value the wizard must produce).
  • For a migration or transition: the current state, the target state, and the irreversible actions between them.

Then show the user the ordered list of stages and the values each produces, and confirm: they may add, drop, or reorder.

Done when: every stage is named in order, and for each captured value you know (a) where the human gets it, (b) where it's written (.env, a GitHub secret, both, or nowhere; some stages are pure actions), and (c) whether it's secret (hidden entry) or public.

2. Map each stage's journey

For each stage, write the precise path a human follows: which URL to open, what to do there, where a value is shown, which variable it fills: e.g. "Dashboard → Developers → API keys → Reveal test key → copy". Where you don't actually know the current UI or the exact command, say so and ask the user or check the docs: never invent steps that may not exist.

Done when: every stage traces to concrete instructions a stranger could follow.

3. Author the wizard

Copy template.sh to the target path. Replace the example stage with one stage per step, in dependency order. Use the library helpers: stage, say/step, open_url, ask/ask_secret, write_env, set_secret/set_var, pause/confirm. Set TOTAL_STAGES to the number of stages you wrote.

Hold the bar the template sets: open the URL before asking for its value, use ask_secret for anything secret, write_env every persisted value, set_secret only the values CI actually needs, and confirm before any irreversible action. Each stage clears the screen so only the current step is visible: keep a stage to one focused task so nothing the human needs scrolls away. Don't touch the library above the marker.

4. Verify and hand off

  • bash -n <script>; run shellcheck if available.
  • chmod +x <script>.
  • Don't run it end-to-end yourself: it opens browsers and blocks on human input. Trace it statically instead: every value from step 1 is captured and lands where step 1 said, and every set_secret name exactly matches a secrets.* reference in CI.
  • Tell the user how to run it. If it's a repeatable setup path, commit it and link it from the README so the next person runs the script instead of asking an AI.
Files3
3 files · 9.5 KB

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Overall Score

82/100

Grade

B

Good

Grades are signals, not a certification. Always review a skill yourself before use.

Safety

80

Quality

84

Clarity

85

Completeness

78

Summary

A bash wizard generator skill that creates interactive step-by-step scripts to guide humans through manual infrastructure setup, credential configuration, and CI secret provisioning. The skill provides a reusable library template with delightful UX (progress tracking, hidden secret entry, idempotent .env management, GitHub secret/variable writes) and guides authors to scope procedures, map stage journeys, and author wizard scripts without touching the library layer.

Static Analysis Findings

1 finding

Patterns detected by deterministic static analysis before AI scoring. Hover over any finding code for detailed information and remediation guidance.

Credential Exposure
SEC-020Direct .env File Access8x in 2 files

Direct .env file access

SKILL.md.env6x
template.sh.env2x

Detected Capabilities

file write (.env, bash scripts)file read (project config, .env*, workflows)bash script generation and templatingenvironment variable manipulationGitHub CLI integration (gh secret, gh variable)URL opening (cross-platform: wslview, explorer.exe, xdg-open, open)interactive user input (visible and hidden)shell script syntax validation (bash -n, shellcheck)

Trigger Keywords

Phrases that agents use to match this skill to user intent.

provision credentialsstripe api setupgithub secretsinteractive setup wizardci env configmanual cutover scriptdashboard walkthrough

Risk Signals

INFO

Direct .env file access (multiple occurrences)

SKILL.md, template.sh
INFO

.env file read/write for credential storage

template.sh: write_env, _existing functions
INFO

GitHub Actions secret and variable writes via gh CLI

template.sh: set_secret, set_var functions
INFO

Secret values captured and persisted

template.sh: ask_secret, write_env functions
INFO

Bash script generation without hard-coded credentials

SKILL.md process section

Referenced Domains

External domains referenced in skill content, detected by static analysis.

dashboard.stripe.com

Use Cases

  • Provision third-party service credentials (API keys, OAuth tokens) from dashboard UI
  • Walk through one-off migrations or infrastructure cutovers with confirmation gates
  • Collect and persist environment variables for local development and CI
  • Set GitHub Actions secrets and variables from values obtained manually
  • Create repeatable setup scripts for team onboarding or project bootstrapping
  • Automate tedious multi-step procedures that require human decision-making or copy-paste
  • Capture sensitive values with hidden input and idempotent .env upserts

Quality Notes

  • Strength: Explicit instruction to 'never invent steps' and defer to user when uncertain about UI flows — reduces risk of broken or incorrect procedures
  • Strength: Clear four-step process (scope, map, author, verify) with concrete done conditions for each phase
  • Strength: Well-documented library with helpful utilities (open_url cross-platform, idempotent env writes, hidden secret entry, progress tracking)
  • Strength: Concrete template and example (Stripe API keys) showing idiomatic usage patterns
  • Strength: Verification step includes static analysis (bash -n, shellcheck) rather than end-to-end test execution
  • Strength: Security design choice: secrets are captured interactively, never hard-coded in generated scripts
  • Strength: Scoping instructions emphasize reading the repo first (SKILL.md mentions .env, .env.example, .github/workflows, framework config)
  • Moderate: Heavy reliance on user judgment for stage ordering and value classification (secret vs. public) — no automated validation step suggested
  • Moderate: No explicit guidance on handling failed steps or rollback/idempotence beyond 'confirm before irreversible action'
  • Minor: The template example (Stripe) is specific and helpful, but authors must still trace every stage manually to verify correctness
Model: claude-haiku-4-5-20251001Analyzed: Sep 9, 2026

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Version History

  1. v1.1

    Content updated

    ✦ AIRemoves time-estimate requirement from wizard creation; simplifies setup guidance with minor wording refinements.

    2026-09-09

    LATEST
  2. v1.0

    2026-08-06

    View This VersionInitial version

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