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 HermeticOrmus/LibreUIUX-Claude-Code --skill deployment-pipeline-designgit clone --depth 1 https://github.com/HermeticOrmus/LibreUIUX-Claude-CodeWrote 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/hermeticormus/libreuiux-claude-code/deployment-pipeline-design)<a href="https://agentmods.dev/skills/hermeticormus/libreuiux-claude-code/deployment-pipeline-design"><img src="https://agentmods.dev/badge/skills/hermeticormus/libreuiux-claude-code/deployment-pipeline-design/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/hermeticormus/libreuiux-claude-code/deployment-pipeline-design"><img src="https://agentmods.dev/badge/skills/hermeticormus/libreuiux-claude-code/deployment-pipeline-design.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 | $0.02071 |
| Opus 5.5 | $0.00016 | $0.00828 |
| Sonnet 5.5 | $0.00008 | $0.00414 |
| Haiku 4.5 | $0.00004 | $0.00207 |
Grade A, and why
deployment-pipeline-design scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
run: curl -f https://app.example.com/health This is a copy
91% identical to deployment-pipeline-design — 19 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deployment Pipeline Design
Architecture patterns for multi-stage CI/CD pipelines with approval gates and deployment strategies.
Purpose
Design robust, secure deployment pipelines that balance speed with safety through proper stage organization and approval workflows.
When to Use
- Design CI/CD architecture
- Implement deployment gates
- Configure multi-environment pipelines
- Establish deployment best practices
- Implement progressive delivery
Pipeline Stages
Standard Pipeline Flow
┌─────────┐ ┌──────┐ ┌─────────┐ ┌────────┐ ┌──────────┐
│ Build │ → │ Test │ → │ Staging │ → │ Approve│ → │Production│
└─────────┘ └──────┘ └─────────┘ └────────┘ └──────────┘
Detailed Stage Breakdown
- Source - Code checkout
- Build - Compile, package, containerize
- Test - Unit, integration, security scans
- Staging Deploy - Deploy to staging environment
- Integration Tests - E2E, smoke tests
- Approval Gate - Manual approval required
- Production Deploy - Canary, blue-green, rolling
- Verification - Health checks, monitoring
- Rollback - Automated rollback on failure
Approval Gate Patterns
Pattern 1: Manual Approval
# GitHub Actions
production-deploy:
needs: staging-deploy
environment:
name: production
url: https://app.example.com
runs-on: ubuntu-latest
steps:
- name: Deploy to production
run: |
# Deployment commands
Pattern 2: Time-Based Approval
# GitLab CI
deploy:production:
stage: deploy
script:
- deploy.sh production
environment:
name: production
when: delayed
start_in: 30 minutes
only:
- main
Pattern 3: Multi-Approver
# Azure Pipelines
stages:
- stage: Production
dependsOn: Staging
jobs:
- deployment: Deploy
environment:
name: production
resourceType: Kubernetes
strategy:
runOnce:
preDeploy:
steps:
- task: ManualValidation@0
inputs:
notifyUsers: '[email protected]'
instructions: 'Review staging metrics before approving'
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.
- 1mo ago First seen · 360 lines · 41 tokens per session scan A 0c7343294b6f
deployment-pipeline-design is a skill published in the GitHub repository HermeticOrmus/LibreUIUX-Claude-Code (115 stars, last pushed 23d ago), licensed MIT. It adds 41 tokens to every session and 2,071 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 91% identical to deployment-pipeline-design, differing in 19 lines, and is treated as a copy.
Other skills, from other repositories
autonomous-loops
Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.
deployment-patterns
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications. Use when setting up deployment infrastructure or planning releases.
mcp-dependency-review
Statically review MCP configuration for mutable package references before approval or CI, without executing discovered MCP servers. Use when reviewing .mcp.json, Cursor, VS Code, Claude, Windsurf, or other repo-scoped MCP config.
quality-scan
Run a scoped, read-only quality scan and report exact-candidate evidence, failures and frozen debt. Use for an ad-hoc gate sweep or release preparation; a static scan is not full release acceptance.
vercel
Inspect and manage the user's Vercel websites, web apps, projects, and deployments. Use to read build and runtime logs, investigate production errors and failed deployments, check deployment status, and deploy projects through Vercel's official MCP server.
gitlab-ci-patterns
Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.