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 asgarovf/locusai --skill ci-cd-pipelinegit clone --depth 1 https://github.com/asgarovf/locusaiWrote 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/asgarovf/locusai/ci-cd-pipeline)<a href="https://agentmods.dev/skills/asgarovf/locusai/ci-cd-pipeline"><img src="https://agentmods.dev/badge/skills/asgarovf/locusai/ci-cd-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/asgarovf/locusai/ci-cd-pipeline"><img src="https://agentmods.dev/badge/skills/asgarovf/locusai/ci-cd-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00041 | $0.01306 |
| Opus 5 | $0.00020 | $0.00653 |
| Sonnet 5 | $0.00008 | $0.00261 |
| Haiku 4.5 | $0.00004 | $0.00131 |
Grade A, and why
ci-cd-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 10d 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CI/CD Pipeline
When to use this skill
- Setting up CI/CD for a new project
- Adding GitHub Actions workflows
- Optimizing slow CI pipelines
- Adding automated testing, linting, or deployments
- Setting up release automation
GitHub Actions: Standard CI workflow
# .github/workflows/ci.yml
name: CI
on:
push:
branches: [main]
pull_request:
branches: [main]
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 20
cache: 'npm'
- run: npm ci
- run: npm run lint
- run: npm run typecheck
test:
runs-on: ubuntu-latest
needs: lint
strategy:
matrix:
node-version: [18, 20, 22]
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: ${{ matrix.node-version }}
cache: 'npm'
- run: npm ci
- run: npm test -- --coverage
- uses: actions/upload-artifact@v4
if: matrix.node-version == 20
with:
name: coverage
path: coverage/
build:
runs-on: ubuntu-latest
needs: test
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 20
cache: 'npm'
- run: npm ci
- run: npm run build
GitHub Actions: Common patterns
Caching dependencies
# Node.js
- uses: actions/setup-node@v4
with:
node-version: 20
cache: 'npm' # Built-in caching
# Python
- uses: actions/setup-python@v5
with:
python-version: '3.12'
cache: 'pip'
# Custom cache
- uses: actions/cache@v4
with:
path: ~/.cache/custom
key: ${{ runner.os }}-custom-${{ hashFiles('**/config.lock') }}
restore-keys: ${{ runner.os }}-custom-
Database services for integration tests
services:
postgres:
image: postgres:16
env:
POSTGRES_USER: test
POSTGRES_PASSWORD: test
POSTGRES_DB: testdb
ports:
- 5432:5432
options: >-
--health-cmd pg_isready
--health-interval 10s
--health-timeout 5s
--health-retries 5
redis:
image: redis:7
ports:
- 6379:6379
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.
- 10d ago First seen · 216 lines · 41 tokens per session scan A 90421121536f
ci-cd-pipeline is a skill published in the GitHub repository asgarovf/locusai (23 stars, last pushed 6mo ago), licensed MIT. It adds 41 tokens to every session and 1,306 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 2026-08-30.
Other skills, from other repositories
cicd-expert
Expert-level CI/CD with GitHub Actions, Jenkins, deployment pipelines, and automation. Use when the user mentions CI/CD, GitHub Actions, Jenkins, GitLab CI, deployment, or automation, or when the task involves CI/CD Fundamentals, Pipeline Design, Workflow Basics, or Docker Build and Push.
ci-cd-pipeline
Design and implement CI/CD pipelines for automated testing and deployment.
cicd-agent
CI/CD pipeline design and review — GitHub Actions, pipeline best practices, secrets management, deployment strategies, and release automation.
DevOps & Deployment
CI/CD pipelines, containerization, Kubernetes, and infrastructure as code patterns.
CI/CD Pipeline Advanced
Expert-level CI/CD pipeline skill for test automation. Covers GitHub Actions, Jenkins, GitLab CI, Azure DevOps, parallel execution, matrix strategies, caching, artifact management, and deployment gates.
CI/CD Pipeline Config
CI/CD pipeline configuration skill for test automation, covering GitHub Actions, Jenkins, GitLab CI, test parallelization, reporting, and artifact management.