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Kubesphere Devops Jenkins

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kubesphere
kubesphere-devops-jenkins

Use when configuring Jenkins in KubeSphere DevOps, including agent customization, LDAP/OIDC integration, build artifact retrieval, or troubleshooting Jenkins issues

Overview

Publisherkubesphere
Repositorykubesphere
Skill namekubesphere-devops-jenkins
Stars
17.1K
Forks
2.8K
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by kubesphere on GitHub. Read the source before you install it.

Installation

Install the Kubesphere Devops Jenkins 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.
  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/kubesphere/kubesphere.git /tmp/kubesphere
mkdir -p .claude/skills
cp -r /tmp/kubesphere/skills/kubesphere-devops-jenkins .claude/skills/kubesphere-devops-jenkins
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kubesphere Devops Jenkins 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 Kubesphere Devops Jenkins 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 Kubesphere Devops Jenkins 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.

KubeSphere DevOps Jenkins Configuration

Overview

KubeSphere DevOps embeds Jenkins as the CI engine. Jenkins is configured via Configuration as Code (CasC) and provides the underlying pipeline execution environment. Understanding Jenkins configuration is essential for customizing agents, authentication, and resource management.

When to Use

  • Accessing Jenkins console directly
  • Configuring LDAP or OIDC authentication
  • Customizing Jenkins agent images
  • Configuring GitLab or other SCM servers
  • Troubleshooting Jenkins startup issues
  • Updating Jenkins after DevOps upgrade
  • Triggering builds via API
  • Downloading build artifacts
  • Viewing build logs and status

Accessing Jenkins Console

Get Admin Credentials

bash
# Get Jenkins admin user and password
kubectl -n kubesphere-devops-system get secret devops-jenkins -o yaml

# Decode values
echo "<jenkins-admin-password-base64>" | base64 -d
echo "<jenkins-admin-user-base64>" | base64 -d

Get Jenkins NodePort

bash
kubectl -n kubesphere-devops-system get svc devops-jenkins
# Default NodePort: 30180

Access via: http://<master-node-ip>:30180

Configuration As Code (CasC)

Jenkins configuration is managed through the jenkins-casc-config ConfigMap:

bash
# View current CasC
kubectl -n kubesphere-devops-system get cm jenkins-casc-config -o yaml

Key Configuration Sections

yaml
agent:
  jenkins:
    Master:
      NodeSelector: {}
      Tolerations: []
    Agent:
      Image: "jenkins/inbound-agent"
      Tag: "3309.v27b_9314fd1a_4-1-jdk21"
      Privileged: false
      NodeSelector: {}

Authentication Configuration

LDAP Integration

yaml
agent:
  jenkins:
    exactSecurityRealm:
      ldap:
        configurations:
        - displayNameAttributeName: "uid"
          mailAddressAttributeName: "mail"
          inhibitInferRootDN: false
          managerDN: "cn=admin,dc=kubesphere,dc=io"
          managerPasswordSecret: "admin"
          rootDN: "dc=kubesphere,dc=io"
          userSearchBase: "ou=Users"
          userSearch: "(&(objectClass=inetOrgPerson)(|(uid={0})(mail={0})))"
          groupSearchBase: "ou=Groups"
          groupSearchFilter: "(&(objectClass=posixGroup)(cn={0}))"
          server: "ldap://openldap.kubesphere-system.svc:389"
        disableMailAddressResolver: false
        disableRolePrefixing: true

OpenID Connect (OIDC) Integration

yaml
agent:
  jenkins:
    exactSecurityRealm:
      oic:
        clientId: "jenkins"
        clientSecret: "jenkins"
        tokenServerUrl: "http://192.168.1.20:30880/oauth/token"
        authorizationServerUrl: "http://192.168.1.20:30880/oauth/authorize"
        userInfoServerUrl: "http://192.168.1.20:30880/oauth/userinfo"
        endSessionEndpoint: "http://192.168.1.20:30880/oauth/logout"
        logoutFromOpenidProvider: true
        scopes: openid profile email
        fullNameFieldName: url
        userNameField: preferred_username
    redirectURIs:
    - http://192.168.1.20:30180/securityRealm/finishLogin

GitLab Integration

Configure GitLab servers for pipeline integration:

yaml
agent:
  jenkins:
    unclassified:
      gitLabServers:
        - name: "gitlab-a"
          serverUrl: "https://gitlab.a.com"
        - name: "gitlab-b"
          serverUrl: "https://gitlab.b.com"

After updating ConfigMap, create credentials in Jenkins Console:

  1. Manage Jenkins > System
  2. Find GitLab section
  3. Add credentials (GitLab Personal Access Token)
  4. Test connection
  5. Save

Agent Customization

Update JNLP Image (v1.2.x)

bash
# Get current config
kubectl -n kubesphere-devops-system get cm jenkins-casc-config -o yaml > /tmp/casc-old.yaml

# Update image version
sed 's/inbound-agent:4.10-2/inbound-agent:3309.v27b_9314fd1a_4-1-jdk21/g' /tmp/casc-old.yaml > /tmp/casc.yaml

# Apply new config
kubectl apply -f /tmp/casc.yaml

# Restart Jenkins
kubectl -n kubesphere-devops-system rollout restart deployment devops-jenkins

Enable Podman for Non-Docker Environments

For hosts running containerd instead of Docker:

yaml
agent:
  jenkins:
    Agent:
      Privileged: true  # Required for podman

Use agent images with -podman suffix. These alias docker command to podman.

Custom Agent PodTemplate

yaml
agent:
  jenkins:
    Agent:
      PodTemplate:
        Name: "default"
        Label: "jenkins-agent"
        Containers:
        - Name: "jnlp"
          Image: "jenkins/inbound-agent:3309.v27b_9314fd1a_4-1-jdk21"
          Args: "^${computer.jnlpmac} ^${computer.name}"
          Resource:
            Request:
              Cpu: "100m"
              Memory: "256Mi"
            Limit:
              Cpu: "500m"
              Memory: "512Mi"

Backup and Restore

Backup Jenkins Data

bash
# Find Jenkins PVC
kubectl -n kubesphere-devops-system get pvc

# Create backup inside Jenkins pod
kubectl -n kubesphere-devops-system exec deployment/devops-jenkins -- bash -c \
  'cd /tmp && tar czvf jenkins_home.backup.tar /var/jenkins_home && mv jenkins_home.backup.tar /var/jenkins_home'

# Copy to local
kubectl -n kubesphere-devops-system cp \
  deployment/devops-jenkins:/var/jenkins_home/jenkins_home.backup.tar \
  ./jenkins_home.backup.tar

Reset Jenkins Components

yaml
agent:
  jenkins:
    Master:
      resetPlugins: true    # Reset all plugins to default
      resetRBACRoles: true  # Reset RBAC roles
      resetAdminPassword: true  # Reset admin password
      resetAdminToken: true     # Reset admin API token

Apply and restart Jenkins to reset.

Troubleshooting

Jenkins Won't Start

bash
# Check pod status
kubectl -n kubesphere-devops-system get pods -l app=devops-jenkins

# View logs
kubectl -n kubesphere-devops-system logs -l app=devops-jenkins --tail=100

# Check events
kubectl -n kubesphere-devops-system get events --sort-by='.lastTimestamp'

Common Issues

IssueCauseFix
OOMKilledMemory limit too lowIncrease resource limits
CrashLoopBackOffBad CasC configCheck ConfigMap syntax
Agent connection failedWrong JNLP imageUpdate to compatible version
Pipeline hangsNo available agentsCheck agent resource quotas

Check Jenkins Health

bash
# Check crumb issuer (CSRF protection)
curl http://<jenkins-url>/crumbIssuer/api/json

# Check plugin list
curl http://<jenkins-url>/pluginManager/api/json?depth=1

Plugin Management

v1.2.x Removed Plugins

These plugins were removed in v1.2.0:

  • ace-editor
  • async-http-client
  • blueocean-executor-info
  • handlebars
  • kubernetes-cd (major impact)
  • momentjs
  • windows-slaves

Action Required: Update pipeline scripts if they depend on these plugins.

Working with Builds via API

Trigger a Pipeline Build

bash
# Get Jenkins admin token
TOKEN=$(kubectl -n kubesphere-devops-system get secret devops-jenkins -o jsonpath='{.data.jenkins-admin-token}' | base64 -d)

# Trigger build for a pipeline
kubectl run curl-trigger --rm -i --restart=Never --image=curlimages/curl \
  -- "http://admin:${TOKEN}@devops-jenkins.kubesphere-devops-system:80/job/demo-project/job/my-pipeline/build" \
  -X POST -w "\nHTTP Status: %{http_code}\n"

# Expected: HTTP Status: 201 (Created)

Multi-branch Pipeline:

bash
# Trigger specific branch build
kubectl run curl-trigger-branch --rm -i --restart=Never --image=curlimages/curl \
  -- "http://admin:${TOKEN}@devops-jenkins.kubesphere-devops-system:80/job/demo-project/job/my-multibranch/job/main/build" \
  -X POST

View Build Console Log

bash
# Get console log for build #3
kubectl run curl-log --rm -i --restart=Never --image=curlimages/curl \
  -- "http://admin:${TOKEN}@devops-jenkins.kubesphere-devops-system:80/job/demo-project/job/my-pipeline/job/main/3/consoleText"

Check Build Status

bash
# Get build info as JSON
kubectl run curl-status --rm -i --restart=Never --image=curlimages/curl \
  -- "http://admin:${TOKEN}@devops-jenkins.kubesphere-devops-system:80/job/demo-project/job/my-pipeline/job/main/3/api/json" \
  | grep -E '"result"|"building"|"duration"'

# Example output:
# "building":false
# "duration":53917
# "result":"SUCCESS"

Download Build Artifacts

Method: Pod-based Download (Recommended for Binaries)

For binary artifacts, use a pod to download and then copy out:

bash
# 1. Create a download pod
kubectl apply -f - <<EOF
apiVersion: v1
kind: Pod
metadata:
  name: artifact-downloader
spec:
  containers:
  - name: downloader
    image: curlimages/curl
    command: ['sh', '-c', 'sleep 300']
EOF

# 2. Wait for pod ready
kubectl wait --for=condition=Ready pod/artifact-downloader --timeout=60s

# 3. Get Jenkins token and download artifact
TOKEN=$(kubectl -n kubesphere-devops-system get secret devops-jenkins -o jsonpath='{.data.jenkins-admin-token}' | base64 -d)
kubectl exec artifact-downloader -- sh -c \
  "curl -s -o /tmp/service 'http://admin:${TOKEN}@devops-jenkins.kubesphere-devops-system:80/job/demo-project/job/my-pipeline/job/main/3/artifact/service'"

# 4. Copy artifact from pod to local
kubectl cp artifact-downloader:/tmp/service /tmp/service

# 5. Clean up
kubectl delete pod artifact-downloader --force

Verify Downloaded Artifact:

bash
# Check file
ls -lh /tmp/service
file /tmp/service

# Example output:
# /tmp/service: ELF 64-bit LSB executable, x86-64...

# Make executable and test
chmod +x /tmp/service
/tmp/service --help

Working with PipelineRuns

PipelineRuns track Jenkins build execution in Kubernetes:

bash
# List recent pipeline runs
kubectl get pipelineruns -n <devops-project-namespace> --sort-by=.metadata.creationTimestamp

# Example output:
# NAME                             COMPLETIONS   STATUS      AGE
# my-pipeline-vf8p5                1             Succeeded   2m

# Get detailed status
kubectl get pipelinerun my-pipeline-vf8p5 -n demo-project -o yaml

Common API Patterns

TaskAPI Endpoint
Trigger build/job/{folder}/job/{pipeline}/build
Get build status/job/{folder}/job/{pipeline}/job/{branch}/{number}/api/json
Get console log/job/{folder}/job/{pipeline}/job/{branch}/{number}/consoleText
Get artifact/job/{folder}/job/{pipeline}/job/{branch}/{number}/artifact/{filename}
List builds/job/{folder}/job/{pipeline}/job/{branch}/api/json

Folder Structure:

  • DevOps Project → Folder in Jenkins (e.g., demo-project)
  • Pipeline → Job in folder (e.g., my-pipeline)
  • Branch → Sub-job for multi-branch (e.g., main)
  • Build Number → Individual run (e.g., 3)

API Proxy Endpoints

KubeSphere proxies Jenkins API for authentication:

EndpointDescription
/kapis/devops.kubesphere.io/v1alpha2/jenkins/{path}Generic Jenkins API proxy
/kapis/devops.kubesphere.io/v1alpha2/namespaces/{devops}/jenkins/{path}Project-scoped proxy
/kapis/devops.kubesphere.io/v1alpha3/ci/nodelabelsGet Jenkins node labels

References

Frequently asked questions

What does the Kubesphere Devops Jenkins AI skill do?

Use when configuring Jenkins in KubeSphere DevOps, including agent customization, LDAP/OIDC integration, build artifact retrieval, or troubleshooting Jenkins issues

Why use Kubesphere Devops Jenkins on TypingMind?

Because you install it once and use it with any model. Kubesphere Devops Jenkins 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 Kubesphere Devops Jenkins in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kubesphere/kubesphere/tree/master/skills/kubesphere-devops-jenkins. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Kubesphere Devops Jenkins?

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 Kubesphere Devops Jenkins?

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

Is the Kubesphere Devops Jenkins AI skill free?

It is published on GitHub by kubesphere. Check the repository for licensing terms. 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.

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