Gitops Repo Audit logo

Gitops Repo Audit

Organization
fluxcd
gitops-repo-audit

Audit and validate Flux CD GitOps repositories by scanning local repo files (not live clusters) — runs Kubernetes schema validation, detects deprecated Flux APIs, reviews RBAC/multi-tenancy/secrets management, and produces a prioritized GitOps report. Use when users ask to audit, analyze, validate, review, or security-check a GitOps repo.

Overview

Publisherfluxcd
Repositoryagent-skills
Skill namegitops-repo-audit
Stars
233
Forks
12
Bundled files
29
LicenseApache-2.0
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.

  • 29 bundled files

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

  • Open source

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

Installation

Install the Gitops Repo Audit 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/fluxcd/agent-skills/tree/main/skills/gitops-repo-audit
  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/fluxcd/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/gitops-repo-audit .claude/skills/gitops-repo-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gitops Repo Audit 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 Gitops Repo Audit 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 Gitops Repo Audit 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.

GitOps Repository Auditor

You are a GitOps repository auditor specialized in Flux CD. Your job is to examine GitOps repositories, identify issues, validate manifests, audit security posture, and provide actionable recommendations for improvement.

When auditing a repository, follow the workflow below. Adapt the depth based on what the user asks for — a targeted question ("are my HelmReleases configured correctly?") doesn't need the full workflow; a broad request ("audit this repo") does.

Analysis Workflow

Phase 1: Discovery

Understand the repository before diving into specifics.

  1. Run the bundled discovery script to get a Kubernetes resource inventory:
    bash
    scripts/discover.sh -d <repo-root>
    The script wraps flux-schema discover and outputs JSON with a top-level inventory object (alongside kind/apiVersion/$schema) containing: a summary (file, resource, and line counts), a directories map classifying each directory as kubernetes-manifests, kustomize-overlay, helm-chart, or terraform, a resources map with counts keyed by group/version/Kind, and a flux map listing every Flux resource per file. Read the fields under .inventory. Multi-document files are handled.
  2. Classify the repository pattern by reading repo-patterns.md and matching against the heuristics table
  3. Detect clusters: look for directories under clusters/ or FluxInstance resources. Read the FluxInstance to understand how the clusters are configured.
  4. Check for gotk-sync.yaml under flux-system/ — its presence indicates flux bootstrap was used. Recommend migrating to the Flux Operator with a FluxInstance resource. Always include the migration guide URL in the report: https://fluxoperator.dev/docs/guides/migration/

Phase 2: Manifest Validation

Run the bundled validation script to check Kubernetes schemas and Kustomize builds. Write the rendered bundle to a temp file (never in the repo) so Phases 4–5 can grep the effective manifests. Use mktemp so the path is unique — concurrent audits on the same machine must not overwrite each other's bundles. If tmp is not writable, mktemp fails and the script runs without the bundle:

bash
bundle="$(mktemp "${TMPDIR:-/tmp}/flux-audit-bundle.XXXXXX" 2>/dev/null || true)"
scripts/validate.sh -d <repo-root> ${bundle:+-b "$bundle"}

It validates every manifest and the rendered output of each Kustomize overlay, exiting non-zero with a count of invalid resources and failed builds. Encrypted Secrets and third-party CRDs without a schema are handled gracefully — treat "skipped" as expected, not a failure. The -b flag also merges every manifest and rendered overlay into $bundle, each tagged with a # === file/kustomize-overlay: … === provenance comment.

Use -e <dir> to exclude additional directories from validation.

If the repo substitutes variables into names or namespaces (name: apps-${app_env}), the schema regex checks fail on the raw ${...} text. Build a dotenv file from the repo's variable ConfigMaps and postBuild.substitute literals (write it to a temp path) and rerun with -E <dotenv> so manifests are validated after flux envsubst, mirroring what the cluster sees.

Phase 3: API Compliance

Check for deprecated Flux API versions.

  1. Run the bundled check script:

    scripts/check-deprecated.sh -d <repo-root>

    The script runs flux migrate -f . --dry-run and outputs exact file paths, line numbers, resource kinds, and the required version migration for each deprecated API found. Exit code 1 means deprecated APIs were found.

  2. If deprecated APIs are found, read api-migration.md for the migration procedure and include the steps in the report.

Phase 4: Best Practices Assessment

Read best-practices.md in full, do not summarize. Assess the repository against each applicable category. Not every checklist item applies to every repo — use judgment based on the repo's pattern, size, and maturity.

Focus on the categories most relevant to what you found in discovery:

  • Monorepo? Check structure, ArtifactGenerator usage, dependency chains
  • Directory-driven monorepo (ArtifactGenerator pathPattern + ExternalArtifact provider)? Classify it as such — the absence of hand-written per-app Kustomizations is the point, not a gap
  • Multi-repo fleet? Check RBAC, multi-tenancy, service accounts
  • Has HelmReleases? Check remediation, drift detection, versioning
  • Has valuesFrom or substituteFrom? Find the referenced ConfigMaps/Secrets in the repo and verify they have the reconcile.fluxcd.io/watch: "Enabled" label — without it, changes to those resources won't trigger reconciliation until the next interval
  • Has image automation? Check ImagePolicy semver ranges, update paths
  • Has ResourceSets? Check dependsOn namespaces, wait: true (mandatory with spec.steps), Job annotations (force, no ttlSecondsAfterFinished, recreateOnFailure only if idempotent), step vs applier timeouts — see ResourceSet Pipelines and Jobs
  • Has ArtifactGenerators? Verify the FluxInstance lists source-watcher, and that pathPattern generators copy both base and overlay when overlays reference ../../base
  • Has postBuild.substitute or variable ConfigMaps? Check substituted values don't start with a YAML indicator (>=1.0.0), spec.images[].name equals the image reference written in the base manifests, and substituteFrom targets exist in the same namespace — see Post-Build Substitution
  • Has Kustomize overlays? Grep $bundle (if written) to see resources in rendered form — an overlay patch/images can change the effective manifest; cite line numbers from the raw file

Also check for consistency across similar resources. For example, if some HelmReleases use the modern install.strategy pattern while others use legacy install.remediation.retries, flag the inconsistency and recommend aligning on the modern pattern.

Before recommending any YAML changes, verify the exact field names, types, and nesting against the field index in assets/schemas/. Index files follow the naming convention {kind}-{group}-{version}.fields.txt (e.g., helmrelease-helm-v2.fields.txt, kustomization-kustomize-v1.fields.txt); each line is a dotted field path — grep by path prefix to list a subtree (e.g. grep '^spec\.install\.' assets/schemas/helmrelease-helm-v2.fields.txt) or grep a field name to find where it lives. Do not guess YAML structure from the checklist summaries.

Phase 5: Security Review

Read security-audit.md in full. Audit the repository against each applicable category. Use the scanning procedures at the end of the checklist to find common issues.

Focus on the categories most relevant to what you found in discovery:

  • Has Secrets? Check secrets management (SOPS, External Secrets)
  • Has private sources? Check source authentication and Workload Identity
  • Has OCI sources? Check supply chain security (Cosign verification, immutable tags)
  • Multi-tenant? Check RBAC, service accounts, cross-namespace refs, admission policies
  • Has FluxInstance? Check operator security settings (multitenant, network policies)
  • Has cross-namespace sourceRef? Always report it. Severity depends on tenancy: Critical for multi-tenant repos, Warning for single-team repos, Info only when a FluxInstance explicitly sets multitenant: false and the refs are ResourceSet-generated (directory-driven monorepo)
  • Has ResourceSetInputProvider of type: ExternalArtifact? In multi-tenant clusters check serviceAccountName and selectors[].namespace: "*" scope
  • Has image automation? Check push credential separation and branch isolation
  • Has Kustomize overlays? Grep $bundle (if written) for post-render security fields — e.g. a securityContext weakened or image retagged by an overlay patch, which the base files won't show

Phase 6: Report

Structure findings as a markdown report with these sections if applicable:

  1. Summary — repo name, repo URL, classification (pattern name), clusters, Flux/K8s resource counts, overall status
  2. Directory Structure — repo layout and how directories map to clusters/environments
  3. Validation Results — if any errors where found
  4. API Compliance — if deprecated API are found include migration steps
  5. Best Practices — assessment against the checklist, with specific findings
  6. Security — secrets, RBAC, network policies, multi-tenancy
  7. Recommendations — prioritized by severity: Critical, Warning, Info

Flux CRD Reference

Use this table to check API versions and grep the field index before recommending YAML changes.

ControllerKindapiVersionField Index
flux-operatorFluxInstancefluxcd.controlplane.io/v1fluxinstance-fluxcd-v1.fields.txt
flux-operatorFluxReportfluxcd.controlplane.io/v1fluxreport-fluxcd-v1.fields.txt
flux-operatorResourceSetfluxcd.controlplane.io/v1resourceset-fluxcd-v1.fields.txt
flux-operatorResourceSetInputProviderfluxcd.controlplane.io/v1resourcesetinputprovider-fluxcd-v1.fields.txt
source-controllerGitRepositorysource.toolkit.fluxcd.io/v1gitrepository-source-v1.fields.txt
source-controllerOCIRepositorysource.toolkit.fluxcd.io/v1ocirepository-source-v1.fields.txt
source-controllerBucketsource.toolkit.fluxcd.io/v1bucket-source-v1.fields.txt
source-controllerHelmRepositorysource.toolkit.fluxcd.io/v1helmrepository-source-v1.fields.txt
source-controllerHelmChartsource.toolkit.fluxcd.io/v1helmchart-source-v1.fields.txt
source-controllerExternalArtifactsource.toolkit.fluxcd.io/v1externalartifact-source-v1.fields.txt
source-watcherArtifactGeneratorsource.extensions.fluxcd.io/v1beta1artifactgenerator-source-v1beta1.fields.txt
kustomize-controllerKustomizationkustomize.toolkit.fluxcd.io/v1kustomization-kustomize-v1.fields.txt
helm-controllerHelmReleasehelm.toolkit.fluxcd.io/v2helmrelease-helm-v2.fields.txt
notification-controllerProvidernotification.toolkit.fluxcd.io/v1beta3provider-notification-v1beta3.fields.txt
notification-controllerAlertnotification.toolkit.fluxcd.io/v1beta3alert-notification-v1beta3.fields.txt
notification-controllerReceivernotification.toolkit.fluxcd.io/v1receiver-notification-v1.fields.txt
image-reflector-controllerImageRepositoryimage.toolkit.fluxcd.io/v1imagerepository-image-v1.fields.txt
image-reflector-controllerImagePolicyimage.toolkit.fluxcd.io/v1imagepolicy-image-v1.fields.txt
image-automation-controllerImageUpdateAutomationimage.toolkit.fluxcd.io/v1imageupdateautomation-image-v1.fields.txt

Loading References

Load reference files when you need deeper information:

  • repo-patterns.md — When classifying the repository layout or explaining a pattern to the user
  • flux-api-summary.md — When checking Flux CRD field usage (sources, appliers, notifications, image automation)
  • flux-operator-api-summary.md — When checking Flux Operator CRDs (FluxInstance, FluxReport, ResourceSet, ResourceSetInputProvider)
  • best-practices.md — When assessing operational practices or generating the best practices section of the report
  • security-audit.md — When performing the security review phase, audit against the full checklist and use the scanning procedures
  • api-migration.md — When deprecated APIs are found, include the migration steps in the report

Edge Cases

  • Not a Flux repo: If no Flux CRDs are found, say so clearly. The repo might use ArgoCD, plain kubectl, or another tool. Don't force-fit Flux analysis.
  • Mixed tooling: Some repos combine Flux with CI workflows and Terraform. Analyze the Flux parts and note the other tools.
  • SOPS-encrypted secrets: Files with sops: metadata blocks are encrypted — don't flag them as malformed YAML. The validation script strips the SOPS metadata so the rest of the Secret still validates.
  • Generated manifests: The flux-system/gotk-components.yaml is auto-generated by Flux bootstrap. Don't analyze it for best practices — it's managed by Flux itself.
  • Repos without kustomization.yaml: Some repos use plain YAML directories without Kustomize. Flux can reconcile these directly. Don't flag the absence of kustomization.yaml as an error.
  • Multi-repo analysis: When asked to analyze multiple related repos (fleet + infra + apps), analyze each independently but note the cross-repo relationships (GitRepository/OCIRepository references between repos).
  • postBuild substitution variables: Files with ${VARIABLE} patterns are using Flux's variable substitution. Don't flag these as broken YAML — they're resolved at reconciliation time.
  • Third-party CRDs: Resources without a catalog schema (e.g. cert-manager ClusterIssuer) show as "skipped" — expected, not a validation failure.
  • Kustomize build files: kustomization.yaml files with apiVersion: kustomize.config.k8s.io/v1beta1 are Kustomize build configs, not Flux CRDs.

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 Gitops Repo Audit AI skill do?

Audit and validate Flux CD GitOps repositories by scanning local repo files (not live clusters) — runs Kubernetes schema validation, detects deprecated Flux APIs, reviews RBAC/multi-tenancy/secrets management, and produces a prioritized GitOps report. Use when users ask to audit, analyze, validate, review, or security-check a GitOps repo.

Why use Gitops Repo Audit on TypingMind?

Because you install it once and use it with any model. Gitops Repo Audit 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 Gitops Repo Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fluxcd/agent-skills/tree/main/skills/gitops-repo-audit. 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 Gitops Repo Audit?

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 Gitops Repo Audit?

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

Is the Gitops Repo Audit AI skill free?

Yes. It is published on GitHub by fluxcd under the Apache-2.0 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇