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 G1Joshi/Agent-Skills --skill jenkinsgit clone --depth 1 https://github.com/G1Joshi/Agent-SkillsWrote 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/g1joshi/agent-skills/jenkins)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/jenkins"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/jenkins/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/g1joshi/agent-skills/jenkins"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/jenkins.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 | $0.00018 | $0.00388 |
| Opus 5 | $0.00009 | $0.00194 |
| Sonnet 5 | $0.00004 | $0.00078 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
jenkins 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.
What it actually says
Jenkins
Jenkins is the grandfather of CI, but still widely used in enterprise. In 2025, it runs primarily as Code (Jenkinsfile) and often on Kubernetes.
When to Use
- Legacy/Enterprise: You have massive, complex, custom requirements that only Jenkins plugins can handle.
- Fineness of Control: You need absolute control over the build environment.
- On-Premise: You cannot use Cloud CI.
Quick Start (Declarative Pipeline)
// Jenkinsfile
pipeline {
agent { docker { image 'node:20' } }
stages {
stage('Build') {
steps {
sh 'npm ci'
sh 'npm run build'
}
}
}
}
Core Concepts
Master / Agent
Master (Controller) orchestrates. Agents (Executors) run the jobs. 2025 Best Practice: Ephemeral Agents on Kubernetes.
Plugins
The ecosystem is huge. Blue Ocean, Credentials Binding, Git.
CasC (Configuration as Code)
Configure the Jenkins Master itself using YAML, not the UI.
Best Practices (2025)
Do:
- Use Declarative Pipelines: Avoid Scripted Pipelines unless absolutely necessary.
- Use Ephemeral Agents: Spin up a Pod for each build, destroy it after. No "Snowflake" build servers.
- Use Shared Libraries: For reusable Groovy logic across pipelines.
Don't:
- Don't configure jobs in UI: Always use
Jenkinsfile. - Don't overload the Master: Run zero builds on the built-in controller node.
References
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 · 63 lines · 18 tokens per session scan A ace7032ef8d8
jenkins is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 7mo ago), licensed MIT. It adds 18 tokens to every session and 388 once invoked, about $0.0001 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.
Other skills, from other repositories
ci-cd-and-automation
Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.
tdd-configure-ci
Configures CI/CD pipelines to mechanically enforce CONSTRAINTS.md quality bars and Floor-Guard anti-cheat rules. (Optional Utility).
github-actions-patterns
Production-grade GitHub Actions workflows — reusable workflows, OIDC cloud auth, caching, matrix builds, and environment protection rules. Use when the user creates, reviews, or debugs CI/CD pipelines in .github/workflows, or asks about GitHub Actions deployment, OIDC authentication, or workflow optimization.
build-optimization
Optimize CI build speed — Docker layer caching, dependency caching, multi-stage builds, parallelism, and build matrix strategies.
gitlab-ci-patterns
GitLab CI/CD pipelines — include templates, environments, OIDC auth, caching, protected runners, deployment gates.
pipeline-security
Secure CI/CD pipelines with keyless signing, OIDC federation, provenance attestations, policy enforcement, and hardened runners.