Gitlab Ci Validator logo

Gitlab Ci Validator

Community
akin-ozer
gitlab-ci-validator

Validate, lint, audit, or fix .gitlab-ci.yml pipelines, stages, and jobs.

Overview

Publisherakin-ozer
Repositorycc-devops-skills
Skill namegitlab-ci-validator
Stars
326
Forks
39
Bundled files
15
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 15 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by akin-ozer on GitHub. Read the source before you install it.

Installation

Install the Gitlab Ci Validator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/akin-ozer/cc-devops-skills/tree/main/devops-skills-plugin/skills/gitlab-ci-validator
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/akin-ozer/cc-devops-skills.git /tmp/cc-devops-skills
mkdir -p .claude/skills
cp -r /tmp/cc-devops-skills/devops-skills-plugin/skills/gitlab-ci-validator .claude/skills/gitlab-ci-validator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gitlab Ci Validator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gitlab Ci Validator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gitlab Ci Validator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

GitLab CI/CD Validator

Comprehensive toolkit for validating, linting, testing, and securing .gitlab-ci.yml configurations.

Trigger Phrases

Use this skill when requests include intent like:

  • "Validate this .gitlab-ci.yml"
  • "Why is this GitLab pipeline failing?"
  • "Run a security review for our GitLab CI"
  • "Check pipeline best practices"
  • "Lint GitLab CI config before merge"

Setup And Prerequisites (Run First)

All commands below assume repository root as current working directory.

bash
# Ensure validator scripts are executable
chmod +x devops-skills-plugin/skills/gitlab-ci-validator/scripts/*.sh \
  devops-skills-plugin/skills/gitlab-ci-validator/scripts/*.py

# Required runtime
python3 --version

Use one canonical command path for orchestration:

bash
VALIDATOR="bash devops-skills-plugin/skills/gitlab-ci-validator/scripts/validate_gitlab_ci.sh"

Optional local execution tooling (for --test-only):

bash
bash devops-skills-plugin/skills/gitlab-ci-validator/scripts/install_tools.sh

Quick Start Commands

bash
# 1) Full validation (syntax + best practices + security)
$VALIDATOR .gitlab-ci.yml

# 2) Syntax and schema only (required first gate)
$VALIDATOR .gitlab-ci.yml --syntax-only

# 3) Best-practices only (recommended)
$VALIDATOR .gitlab-ci.yml --best-practices

# 4) Security only (required before merge)
$VALIDATOR .gitlab-ci.yml --security-only

# 5) Optional local pipeline structure test (needs gitlab-ci-local + Docker)
$VALIDATOR .gitlab-ci.yml --test-only

# 6) Strict mode (treat best-practice warnings as failure)
$VALIDATOR .gitlab-ci.yml --strict

Deterministic Validation Workflow

Follow these gates in order:

  1. Run Quick Start command 2 (--syntax-only).
  2. If syntax fails, stop and fix errors before continuing.
  3. Run Quick Start command 3 (--best-practices) and apply relevant improvements.
  4. Run Quick Start command 4 (--security-only) and fix all critical/high findings before merge.
  5. Optionally run Quick Start command 5 (--test-only) for local execution checks.
  6. Run Quick Start command 6 (--strict) for final merge gate.

Required gates: syntax + security. Recommended gate: best practices. Optional gate: local execution test.

Rule Severity Rationale And Documentation Links

Severity Model

  • critical: Direct credential/secret exposure or high-confidence compromise path. Block merge.
  • high: Exploitable unsafe behavior or strong security regression. Fix before merge.
  • medium: Security hardening gap with realistic risk. Track and fix soon.
  • low/suggestion: Optimization or maintainability improvement.

Rule Classes And Why They Matter

  • Syntax rules (yaml-syntax, job-stage-undefined, dependencies-undefined-job): prevent pipeline parse and dependency failures.
  • Best-practice rules (cache-missing, artifact-no-expiration, dag-optimization): reduce runtime cost and improve pipeline throughput.
  • Security rules (hardcoded-password, curl-pipe-bash, include-remote-unverified): reduce credential leaks and supply-chain risk.

References

Fallbacks For Tool Or Environment Constraints

  • Missing python3:
    • Behavior: validator cannot run.
    • Fallback: install Python 3 and rerun.
  • Missing PyYAML:
    • Behavior: python_wrapper.sh auto-creates .venv and installs pyyaml when possible.
    • Fallback in restricted/offline environments: pre-install pyyaml from an internal mirror, then rerun.
  • Missing gitlab-ci-local, node, or docker:
    • Behavior: --test-only reports warning/failure.
    • Fallback: skip local execution testing and continue with syntax/best-practice/security gates.
  • No execute permission on scripts:
    • Behavior: shell permission errors.
    • Fallback: rerun the setup chmod command from the Setup section.

Examples

Example 1: New Pipeline Validation

bash
$VALIDATOR examples/basic-pipeline.gitlab-ci.yml --syntax-only
$VALIDATOR examples/basic-pipeline.gitlab-ci.yml --security-only

Example 2: Pre-Merge Hard Gate

bash
$VALIDATOR .gitlab-ci.yml --strict

Example 3: CI Integration

yaml
stages:
  - validate

validate_gitlab_ci:
  stage: validate
  script:
    - chmod +x devops-skills-plugin/skills/gitlab-ci-validator/scripts/*.sh devops-skills-plugin/skills/gitlab-ci-validator/scripts/*.py
    - bash devops-skills-plugin/skills/gitlab-ci-validator/scripts/validate_gitlab_ci.sh .gitlab-ci.yml --strict

Individual Validators (Advanced)

bash
# Syntax validator (via wrapper for PyYAML fallback)
bash devops-skills-plugin/skills/gitlab-ci-validator/scripts/python_wrapper.sh \
  devops-skills-plugin/skills/gitlab-ci-validator/scripts/validate_syntax.py .gitlab-ci.yml

# Best-practices validator
bash devops-skills-plugin/skills/gitlab-ci-validator/scripts/python_wrapper.sh \
  devops-skills-plugin/skills/gitlab-ci-validator/scripts/check_best_practices.py .gitlab-ci.yml

# Security validator
bash devops-skills-plugin/skills/gitlab-ci-validator/scripts/python_wrapper.sh \
  devops-skills-plugin/skills/gitlab-ci-validator/scripts/check_security.py .gitlab-ci.yml

Done Criteria

  • Frontmatter name and description unchanged.
  • One canonical orchestrator path is used consistently.
  • Setup and chmod prerequisites appear before workflow/use examples.
  • Quick-start and workflow are non-duplicative (workflow references quick-start gates).
  • Severity rationale and rule-to-doc references are explicit.
  • Fallback behavior is documented for missing tools and constrained environments.
  • Examples are executable from repository root.

Notes

  • This skill validates configuration and static patterns; it does not execute production pipelines.
  • Use gitlab-ci-local or GitLab CI Lint for runtime behavior confirmation.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Gitlab Ci Validator AI skill do?

Validate, lint, audit, or fix .gitlab-ci.yml pipelines, stages, and jobs.

Why use Gitlab Ci Validator on TypingMind?

Because you install it once and use it with any model. Gitlab Ci Validator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gitlab Ci Validator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/akin-ozer/cc-devops-skills/tree/main/devops-skills-plugin/skills/gitlab-ci-validator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Gitlab Ci Validator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gitlab Ci Validator?

As many as you like. As long as a model supports skills, you can use Gitlab Ci Validator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gitlab Ci Validator AI skill free?

Yes. It is published on GitHub by akin-ozer under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇