Mirrord Ci logo

Mirrord Ci

OrganizationPopular
metalbear-co
mirrord-ci

Help users set up mirrord in CI pipelines for testing against real Kubernetes environments. Use when users want to run end-to-end tests, integration tests, or automated tests in CI using mirrord to connect to staging/shared clusters.

Overview

Publishermetalbear-co
Repositorymirrord
Skill namemirrord-ci
Stars
5.4K
Forks
220
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by metalbear-co on GitHub. Read the source before you install it.

Installation

Install the Mirrord Ci 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.
    https://github.com/metalbear-co/mirrord/tree/main/mirrord/mcp/corpus/skills/mirrord-ci
  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/metalbear-co/mirrord.git /tmp/mirrord
mkdir -p .claude/skills
cp -r /tmp/mirrord/mirrord/mcp/corpus/skills/mirrord-ci .claude/skills/mirrord-ci
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mirrord Ci 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 Mirrord Ci 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 Mirrord Ci 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.

Mirrord CI Skill

Purpose

Help users integrate mirrord into CI pipelines for testing against real Kubernetes environments:

  • Configure CI runners to connect to Kubernetes clusters
  • Set up mirrord ci start/stop commands in CI workflows
  • Generate CI workflow files for GitHub Actions, GitLab CI, etc.
  • Troubleshoot CI-specific mirrord issues

When to Use This Skill

Trigger on questions like:

  • "How do I use mirrord in CI?"
  • "Set up mirrord for GitHub Actions"
  • "Run tests against staging in CI"
  • "mirrord ci start not working"
  • "Configure mirrord for GitLab CI"

Security note for CI examples

  • Do not use remote pipe-to-shell installs or other unverified script execution in CI to install mirrord.
  • Pre-install mirrord in a trusted CI image, use your org’s approved package manager with pinned versions, or follow official install docs. The YAML below assumes mirrord is already available on the runner unless you add an approved install step.

Critical First Steps

Step 1: Load references Read the reference file from this skill's references/ directory:

  • references/troubleshooting.md - Common issues and solutions

The troubleshooting guide helps diagnose and fix common mirrord issues. To look up a config option, call explain_config_option if the mirrord MCP server is connected; otherwise use references/configuration.md in the mirrord-config skill.

If using absolute paths, search for them using patterns like **/mirrord-ci/references/*.

Step 2: Validate configs before presenting When generating mirrord configuration files for CI, ALWAYS validate them. If the mirrord MCP server is connected, call validate_config on the config; otherwise, if the mirrord CLI is installed, save it to a file and run:

bash
mirrord verify-config /path/to/config.json

If neither is available, validate against references/schema.json in the mirrord-config skill, after parsing the config as strict JSON: read only the schema's top level (root properties, required, additionalProperties) and the definitions for the options the config uses (search the file for each key), not the whole file.

Key Benefits of mirrord for CI

  • Speed: ~50% faster CI pipelines by eliminating test environment setup
  • Cost: No need to spin up ephemeral clusters for each CI run
  • Accuracy: Test against real services, dependencies, and configurations
  • Isolation: Safe, isolated test execution that doesn't interfere with other workloads

Prerequisites

Required

  1. mirrord CLI version 3.181.0 or later
  2. Kubernetes cluster access from the CI runner
  3. kubeconfig configured in CI environment
  4. mirrord Operator installed with a Teams/Enterprise license. No license yet? An AI agent can offer the user a seven-day Enterprise trial and start it once they agree: see the mirrord-operator skill, "Agent-started trial".

Verification commands

bash
# Check mirrord version
mirrord --version

# Verify cluster access
kubectl cluster-info
kubectl get pods -n <target-namespace>

Core Commands

Starting a CI session

bash
mirrord ci start --target <target> -- <your-command>

This starts your application with mirrord in the background, allowing tests to run against it.

Examples:

bash
# Node.js application
mirrord ci start --target deployment/api-server -- npm run start

# Python application
mirrord ci start --target pod/backend-abc123 -- python main.py

# With config file
mirrord ci start --config-file mirrord.json -- ./my-app

# Run in foreground (blocks until stopped)
mirrord ci start --foreground --target deployment/api -- npm start

Stopping CI sessions

bash
mirrord ci stop

This stops all running mirrord CI sessions. Always run this after tests complete.

Multiple sessions

You can start multiple mirrord sessions in a single CI job:

bash
mirrord ci start --target deployment/service-a -- ./service-a &
mirrord ci start --target deployment/service-b -- ./service-b &
# Run tests
npm test
# Stop all sessions
mirrord ci stop

CI API Key (for mirrord Enterprise)

This only applies to the Enterprise plan; if you're on the open-source version of mirrord, skip this section. When the mirrord Operator is installed in the cluster, mirrord ci commands require a CI API key, and generating one requires an Enterprise plan. Without it, every CI runner registers as a new user and consumes a seat:

bash
# Generate the key (run locally, not in CI)
mirrord ci api-key

Store this as a secret environment variable named MIRRORD_CI_API_KEY in your CI platform.

Configuration

CI-specific config options

json
{
  "target": "deployment/my-app",
  "ci": {
    "output_dir": "/var/log/mirrord"
  }
}
OptionDescriptionDefault
ci.output_dirDirectory for stdout/stderr logsOS temp dir (e.g., /tmp/mirrord)

Application logs

By default, application stdout/stderr are saved to:

/tmp/mirrord/<binary-name>-<unique-id>/

CI Platform Examples

GitHub Actions

yaml
name: Integration Tests

on: [push, pull_request]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Set up kubeconfig
        run: |
          mkdir -p ~/.kube
          echo "${{ secrets.KUBECONFIG }}" | base64 -d > ~/.kube/config

      - name: Ensure mirrord is installed
        run: |
          # Use a pre-built runner image that includes mirrord, or install via your org's approved method.
          # See https://mirrord.dev/docs/overview/quick-start/ — do not pipe remote install scripts.
          mirrord --version

      - name: Start app with mirrord
        run: |
          mirrord ci start --target deployment/api-server -- npm run start
        env:
          MIRRORD_CI_API_KEY: ${{ secrets.MIRRORD_CI_API_KEY }}

      - name: Run tests
        run: npm test

      - name: Stop mirrord
        if: always()
        run: mirrord ci stop

GitLab CI

yaml
integration-tests:
  stage: test
  image: node:20
  before_script:
    - |
      # Install mirrord - use your organization's approved installation method
      # See https://mirrord.dev/docs/overview/quick-start/ for options
      # Option A: Pre-install mirrord in your CI Docker image
      # Option B: Use a pinned version from GitHub Releases with checksum verification
      mirrord --version  # Verify mirrord is available
    - mkdir -p ~/.kube
    - echo "$KUBECONFIG_CONTENT" | base64 -d > ~/.kube/config
  script:
    - mirrord ci start --target deployment/api-server -- npm run start
    - npm test
  after_script:
    - mirrord ci stop
  variables:
    MIRRORD_CI_API_KEY: $MIRRORD_CI_API_KEY

CircleCI

yaml
version: 2.1

jobs:
  integration-test:
    docker:
      - image: cimg/node:20.0
    steps:
      - checkout
      - run:
          name: Setup kubeconfig
          command: |
            mkdir -p ~/.kube
            echo "$KUBECONFIG_B64" | base64 -d > ~/.kube/config
      - run:
          name: Ensure mirrord is installed
          command: |
            # Pre-install mirrord in the image or use an org-approved install path (see mirrord docs).
            mirrord --version
      - run:
          name: Start mirrord CI session
          command: mirrord ci start --target deployment/api -- npm start
          environment:
            MIRRORD_CI_API_KEY: ${MIRRORD_CI_API_KEY}
      - run:
          name: Run tests
          command: npm test
      - run:
          name: Stop mirrord
          command: mirrord ci stop
          when: always

Jenkins Pipeline

groovy
pipeline {
    agent any

    environment {
        KUBECONFIG = credentials('kubeconfig-staging')
        MIRRORD_CI_API_KEY = credentials('mirrord-ci-api-key')
    }

    stages {
        stage('Setup') {
            steps {
                sh '''
                    # Ensure mirrord exists on the agent (pre-installed image or org-approved install)
                    mirrord --version
                '''
            }
        }

        stage('Test') {
            steps {
                sh 'mirrord ci start --target deployment/api -- npm start'
                sh 'npm test'
            }
            post {
                always {
                    sh 'mirrord ci stop'
                }
            }
        }
    }
}

Kubernetes Access Setup

The CI runner must have access to your Kubernetes cluster. Common approaches:

1. Service Account (Recommended)

Create a dedicated service account for CI:

yaml
apiVersion: v1
kind: ServiceAccount
metadata:
  name: ci-runner
  namespace: staging
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: mirrord-ci-role
  namespace: staging
rules:
- apiGroups: [""]
  resources: ["pods", "pods/log"]
  verbs: ["get", "list", "watch"]
- apiGroups: ["apps"]
  resources: ["deployments"]
  verbs: ["get", "list"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: mirrord-ci-binding
  namespace: staging
subjects:
- kind: ServiceAccount
  name: ci-runner
  namespace: staging
roleRef:
  kind: Role
  name: mirrord-ci-role
  apiGroup: rbac.authorization.k8s.io

2. Cloud Provider Authentication

  • GKE: Use Workload Identity or service account key
  • EKS: Use IAM roles for service accounts (IRSA)
  • AKS: Use Azure AD pod identity or managed identity

Common Issues

For detailed troubleshooting, refer to references/troubleshooting.md.

CI-Specific Issues

IssueSolution
"kubectl not found"Install kubectl in CI runner
"Cannot connect to cluster"Check kubeconfig is properly configured
"mirrord ci start hangs"Ensure target pod exists and is running
"Permission denied"Check RBAC permissions for CI service account
"Session not stopping"Use mirrord ci stop in after_script or post block
"Logs not found"Check ci.output_dir config or default /tmp/mirrord
"Seats being consumed"Set MIRRORD_CI_API_KEY environment variable

General mirrord Issues

IssueSolution
mirrord seems to have no effectBinary may be statically linked. For Go: use go build -ldflags='-linkmode external'
Go DNS/outgoing filters not workingBuild with GODEBUG=netdns=cgo
Traffic doesn't reach local processCheck port mapping - local may listen on different port than remote
Traffic stops reaching remote targetWith service mesh, try {"agent": {"flush_connections": false}}
DNS resolution fails for K8s servicesChange feature.fs.mode from local to localwithoverrides
Permission (EACCES) errorsEnable privileged mode: {"agent": {"privileged": true}}
Agent pods not cleaned upRun: kubectl delete jobs --selector=app=mirrord --field-selector=status.successful=1
Certificate validation errors (macOS)Use {"experimental": {"trust_any_certificate": true}}
Service mesh drops agent connectionSet static agent.port and add port exclusion in mesh config

Framework-Specific Issues

Turbo (monorepo):

json
// turbo.json
{
  "globalPassThroughEnv": ["MIRRORD_*", "LD_PRELOAD", "DYLD_INSERT_LIBRARIES"]
}

Remix/Vite/Next.js - Override NODE_ENV to avoid production config:

json
{
  "feature": {
    "env": {
      "override": {
        "NODE_ENV": "development"
      }
    }
  }
}

Next.js with Nx - Exclude conflicting variables:

json
{
  "feature": {
    "env": {
      "exclude": ["NODE_ENV", "NX_NEXT_DIR"]
    }
  }
}

Multi-Container Pods

If your pod has multiple containers, specify the target container explicitly:

json
{
  "target": {
    "path": "pod/my-pod/container/my-app-container"
  }
}

Response Guidelines

  1. Ask about their CI platform - GitHub Actions, GitLab, CircleCI, Jenkins, etc.
  2. Verify prerequisites - kubectl access, mirrord version
  3. Provide platform-specific examples - Use the appropriate YAML/Groovy syntax
  4. Include cleanup steps - Always show mirrord ci stop in appropriate hooks
  5. Mention API key - Remind about MIRRORD_CI_API_KEY for Enterprise users

Example Interaction

User: "How do I run my tests against staging in GitHub Actions?"

Response:

  1. Ask: What's your target (deployment/pod name)?
  2. Check: Do you have kubeconfig set up as a secret?
  3. Provide: GitHub Actions workflow with:
    • kubeconfig setup
    • mirrord installation
    • mirrord ci start with their target
    • Test execution
    • mirrord ci stop in if: always() block
  4. Mention: MIRRORD_CI_API_KEY if using the Enterprise plan

Learn More

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Mirrord Ci AI skill do?

Help users set up mirrord in CI pipelines for testing against real Kubernetes environments. Use when users want to run end-to-end tests, integration tests, or automated tests in CI using mirrord to connect to staging/shared clusters.

Why use Mirrord Ci on TypingMind?

Because you install it once and use it with any model. Mirrord Ci 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 Mirrord Ci in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/metalbear-co/mirrord/tree/main/mirrord/mcp/corpus/skills/mirrord-ci. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Mirrord Ci?

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 Mirrord Ci?

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

Is the Mirrord Ci AI skill free?

Yes. It is published on GitHub by metalbear-co under the MIT license. 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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