Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add aj-geddes/useful-ai-prompts --skill gitlab-cicd-pipelinegit clone --depth 1 https://github.com/aj-geddes/useful-ai-promptsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/gitlab-cicd-pipeline)<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/gitlab-cicd-pipeline"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/gitlab-cicd-pipeline/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/gitlab-cicd-pipeline"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/gitlab-cicd-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.00593 |
| Opus 5 | $0.00018 | $0.00296 |
| Sonnet 5 | $0.00007 | $0.00119 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
gitlab-cicd-pipeline scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitLab CI/CD Pipeline
Table of Contents
Overview
Create comprehensive GitLab CI/CD pipelines that automate building, testing, and deployment using GitLab Runner infrastructure and container execution.
When to Use
- GitLab repository CI/CD setup
- Multi-stage build pipelines
- Docker registry integration
- Kubernetes deployment
- Review app deployment
- Cache optimization
- Dependency management
Quick Start
Minimal working example:
# .gitlab-ci.yml
image: node:18-alpine
variables:
DOCKER_DRIVER: overlay2
FF_USE_FASTZIP: "true"
stages:
- lint
- test
- build
- security
- deploy-review
- deploy-prod
cache:
key: ${CI_COMMIT_REF_SLUG}
paths:
- node_modules/
- .npm/
lint:
stage: lint
script:
- npm install
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Complete Pipeline Configuration | Complete Pipeline Configuration |
| GitLab Runner Configuration | GitLab Runner Configuration |
| Docker Layer Caching Optimization | Docker Layer Caching Optimization |
| Multi-Project Pipeline | Multi-Project Pipeline |
| Kubernetes Deployment | Kubernetes Deployment, Performance Testing Stage, Release Pipeline with Semantic Versioning |
Best Practices
✅ DO
- Use stages to organize pipeline flow
- Implement caching for dependencies
- Use artifacts for test reports
- Set appropriate cache keys
- Implement conditional execution with
onlyandexcept - Use
needs:for job dependencies - Clean up artifacts with
expire_in - Use Docker for consistent environments
- Implement security scanning stages
- Set resource limits for jobs
- Use merge request pipelines
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/complete-pipeline-configuration.md 2.4 KB
- references/docker-layer-caching-optimization.md 826 B
- references/gitlab-runner-configuration.md 516 B
- references/kubernetes-deployment.md 1.3 KB
- references/multi-project-pipeline.md 827 B
- scripts/validate-pipeline.sh 502 B runs code
- templates/pipeline.yaml 665 B
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 103 lines · 36 tokens per session scan A ca853ed5cfad
gitlab-cicd-pipeline is a skill published in the GitHub repository aj-geddes/useful-ai-prompts (338 stars, last pushed 6mo ago), licensed MIT. It adds 36 tokens to every session and 593 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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