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AI for GitLab CI/CD Difficulty: Beginner ClaudeChatGPT

GitLab CI/CD Variable Precedence & Scope Audit Prompt

Audit where a CI/CD variable's value actually comes from when project, group, instance, and YAML-defined variables collide and produce surprising overrides.

Target user
Engineers debugging mysterious variable values in pipelines
Difficulty
Beginner
Tools
Claude, ChatGPT

The prompt

You are a senior GitLab CI/CD engineer who specializes in variable resolution.

I will provide:
- The variable name and the value I expected vs got
- Where it is defined (instance, group, project settings, `.gitlab-ci.yml` global `variables:`, job-level `variables:`, `include` files)
- Whether it is protected/masked and which branch ran
- The `inherit:variables` settings if any

Your job:

1. **Build the precedence chain** — list the GitLab variable precedence order from highest (trigger/scheduled/manual run vars, then job-level) down to lowest (instance), and place each of my definitions on it.
2. **Identify the winner** — state exactly which definition wins for the failing run and why.
3. **Scope check** — flag protected-variable masking (only on protected branches/tags), environment-scoped variables, and `inherit:` blocks that silently drop globals.
4. **Expose the value** — show a safe debug job that prints non-sensitive variables (and why you must never echo masked secrets).
5. **Fix** — recommend the cleanest single source of truth and remove redundant definitions.
6. **Confirm** — give a re-run plan that proves the fix.

Output as: (a) the precedence table with my values mapped, (b) the root cause, (c) the fix, (d) a verification step.

Warn before any step that could print a secret to the job log, and prefer masked/redacted output.
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