Official agent skill

Gke Workload Identity

by google in google/skills

Configures and diagnoses Workload Identity Federation for GKE authentication failures for Pods (403 "iam.serviceAccounts.getAccessToken" / permission denied, "could not find default credentials", or…

OfficialApache-2.0Auto-check passedBackend & APIs

Install Gke Workload Identity

skills CLI
$ npx skills add google/skills --skill gke-workload-identity -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install google/skills gke-workload-identity --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cloud/gke-workload-identity .claude/skills/gke-workload-identity && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
gke-workload-identity
GitHub stars
21k
Token cost
~4.4k tokens
SKILL.md length
1,542 words
Files
1
Skills in repo
150
Repo updated
First seen
Licence
Apache-2.0

At a glance

Configures and diagnoses Workload Identity Federation for GKE authentication failures for Pods (403 "iam.serviceAccounts.getAccessToken" / permission denied, "could not find default credentials", or…

  • Works in 8 steps: Context discovery & time window → Capture the exact error signature → Verify Workload Identity is enabled… → …
  • Setting up KSA/GSA bindings (roles/iam.workloadIdentityUser
  • SKILL.md covers Read-only boundary, Output discipline (apply to…, Diagnostic Workflow and References
  • Calls kubectl, gcloud and curl; reaches console.cloud.google.com

What it does

Gke Workload Identity is an agent skill from google/skills, published by the product's own GitHub organization. Configures and diagnoses Workload Identity Federation for GKE authentication failures for Pods (403 "iam.serviceAccounts.getAccessToken" / permission denied, "could not find default credentials", or GKE metadata server unreachable) by verifying cluster and node-pool Workload Identity configuration, the Kubernetes ServiceAccount (KSA) to IAM binding (direct principal binding and legacy Google ServiceAccount impersonation), target-resource IAM roles, and gke-metadata-server health. Use when setting up KSA/GSA…

Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Backend & APIs, covering Authorization and RBAC and Container orchestration. It works with Google Kubernetes Engine, Google Cloud and Kubernetes. The repository describes itself as: Agent Skills for Google products and technologies. The licence is Apache-2.0.

When your agent uses it

  • Setting up KSA/GSA bindings (roles/iam.workloadIdentityUser
  • Iam.gke.io/gcp-service-account)
  • A Pod cannot authenticate to Google Cloud APIs
  • In-cluster Kubernetes RBAC errors (API-server authorization)

Example prompts

  • “iam.serviceAccounts.getAccessToken”
  • “could not find default credentials”
  • “Use the gke-workload-identity skill to configure and diagnoses Workload Identity Federation for GKE authentication failures for Pods (403…”
  • “/gke-workload-identity”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Context discovery & time window
  2. Capture the exact error signature
  3. Verify Workload Identity is enabled (cluster + node pool)
  4. Verify the KSA → identity binding
  5. Verify IAM permissions on the target resource
  6. GKE metadata server & connectivity
  7. "Invalid form of account ID" edge case (legacy GSA impersonation)
  8. Remediation boundary & escalation

What it can do on your machine

Read from SKILL.md and the folder at commit 4b940dd. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • kubectl
    • gcloud
    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • console.cloud.google.com

    Also links to:

    • docs.cloud.google.com
    • cloud.google.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Gke Workload Identity loads about 4.4k tokens when it runs. Until then it costs about 220 tokens; SKILL.md has 1,542 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~220
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from google/skills at commit 4b940dd, republished under its Apache-2.0 licence (© google). 1,542 words, ~4,429 tokens.

Download SKILL.mdSave it as .claude/skills/gke-workload-identity/SKILL.md (or your agent's skills folder).
name
gke-workload-identity
description
Configures and diagnoses Workload Identity Federation for GKE authentication failures for Pods (403 "iam.serviceAccounts.getAccessToken" / permission denied, "could not find default credentials", or GKE metadata server unreachable) by verifying cluster and node-pool Workload Identity configuration, the Kubernetes ServiceAccount (KSA) to IAM binding (direct principal binding and legacy Google ServiceAccount impersonation), target-resource IAM roles, and gke-metadata-server health. Use when setting up KSA/GSA bindings (`roles/iam.workloadIdentityUser`, `iam.gke.io/gcp-service-account`) or when a Pod cannot authenticate to Google Cloud APIs. Don't use for in-cluster Kubernetes RBAC errors (API-server authorization), general workload crashes (use gke-workload-troubleshooting), or Pod Security Standards and NetworkPolicies (use gke-workload-security).
metadata.version
1.0.1
metadata.category
Security

GKE Workload Identity Federation Troubleshooting Skill

Use this skill to systematically diagnose why a Pod using Workload Identity Federation for GKE cannot authenticate to Google Cloud APIs. Typical symptoms:

  • HTTP/403 ... Permission 'iam.serviceAccounts.getAccessToken' denied on resource
  • google.auth.exceptions ... could not find default credentials / ComputeEngineCredentials cannot find the metadata server
  • API calls that unexpectedly use the node's default Compute Engine service account instead of the workload's identity.

Read-only boundary

This skill is diagnostic and non-interactive. It only reads cluster, IAM, and logging state and proposes fixes as commands or GitOps manifest changes for a human to apply. It must never create or modify IAM bindings, KSA annotations, node pools, or clusters automatically. When evidence is missing or the fix requires a privileged change, summarize findings and hand off to a human (see Step 7).

Output discipline (apply to every conclusion)

When you report a diagnosis, always:

  1. Name the single most-likely root cause (not an open-ended list of possibilities).
  2. Explicitly rule out the other plausible causes, citing the evidence that excludes them. In particular, when the cause is node-pool configuration, state plainly that it is not a KSA annotation or IAM binding problem; when the cause is a missing role on a target resource, state that Workload Identity itself is not misconfigured.
  3. Give the exact remediation as a proposed change for a human — a concrete gcloud command (or GitOps manifest edit) with the real identifiers filled in — and never apply it automatically.

Diagnostic Workflow

Step 0: Context discovery & time window

Collect (from the user or the failing resource): PROJECT_ID, PROJECT_NUMBER, CLUSTER, cluster LOCATION, NAMESPACE, the KSA the Pod runs as, the node and node pool the Pod is scheduled on (used in Step 2), the target resource / API being called, and the exact error string. Define a time window around the first observed failure for log queries.

bash
# Resolve the project number (used in the direct-binding principal identifier).
gcloud projects describe "{PROJECT_ID}" --format="value(projectNumber)"

# Confirm which KSA the workload runs as.
kubectl get pod "{pod_name}" -n "{namespace}" \
  -o jsonpath='{.spec.serviceAccountName}'

# Identify the node the Pod runs on, then the node pool that node belongs to
# (Step 2 checks the node pool's Workload Identity mode).
NODE=$(kubectl get pod "{pod_name}" -n "{namespace}" -o jsonpath='{.spec.nodeName}')
kubectl get node "$NODE" \
  -o jsonpath='{.metadata.labels.cloud\.google\.com/gke-nodepool}'

Step 1: Capture the exact error signature

Read the workload's own logs and the gke-metadata-server logs to classify the failure.

bash
kubectl logs "{pod_name}" -n "{namespace}" --all-containers --prefix
kubectl describe pod "{pod_name}" -n "{namespace}"

Equivalent via Cloud Logging (preferred for historical events). Open it as a Logs Explorer deep link — URL-encode the query and append the project and time window: https://console.cloud.google.com/logs/query;query={URL_ENCODED_QUERY};timeRange={start}%2F{end}?project={project_id} (encode / as %2F, or use ;duration=PT1H for a rolling hour):

resource.type="k8s_container"
resource.labels.namespace_name="{namespace}"
resource.labels.pod_name="{pod_name}"
severity>=WARNING

Classify the signature:

  • iam.serviceAccounts.getAccessToken denied / HTTP/403 → the workload is using the GSA impersonation path. This is expected for the legacy setup, but if you intend to use direct binding, it means the KSA still carries a leftover iam.gke.io/gcp-service-account annotation (or the client SDK is configured to impersonate) and is unintentionally impersonating a GSA; go to Step 3.
  • 403 PERMISSION_DENIED on the target API/resource (no getAccessToken in the error) → the resolved identity lacks the required IAM role on that resource; go to Step 4.
  • could not find default credentials / cannot find the metadata server → metadata-server connectivity or a startup race; go to Step 5.
  • Calls succeed but as the node default service account → Workload Identity is not in effect for this node pool; go to Step 2.

Step 2: Verify Workload Identity is enabled (cluster + node pool)

Both the cluster and the node pool the Pod runs on must have Workload Identity enabled. A node pool with GCE_METADATA (instead of GKE_METADATA) causes Pods to fall back to the node's default Compute Engine service account.

bash
# Cluster must have a workload identity pool (PROJECT_ID.svc.id.goog).
gcloud container clusters describe "{cluster}" --location "{location}" \
  --format="value(workloadIdentityConfig.workloadPool)"

# Node pool must have workloadMetadataConfig.mode = GKE_METADATA.
gcloud container node-pools describe "{node_pool}" --cluster "{cluster}" \
  --location "{location}" \
  --format="value(config.workloadMetadataConfig.mode)"
  • Empty workload pool → Workload Identity is not enabled on the cluster.
  • Node-pool mode is GCE_METADATA (or empty) → the node pool is not using the GKE metadata server; this is the usual cause of "runs as the node default service account". Remediation: enable --workload-metadata=GKE_METADATA on the node pool (propose to a human; recreates nodes). This is a node-pool configuration problem — not a KSA annotation or IAM binding problem — so do not change KSA annotations or IAM bindings to fix it. When the symptom is "runs as the node default service account", say so explicitly: the root cause is the node pool's workloadMetadataConfig.mode, and the KSA annotation and IAM bindings are ruled out as the cause. Propose the exact fix, e.g.:
bash
gcloud container node-pools update "{node_pool}" --cluster "{cluster}" \
  --location "{location}" --workload-metadata=GKE_METADATA

Step 3: Verify the KSA → identity binding

There are two supported models. Prefer direct binding (current default); treat GSA impersonation as the legacy path.

How the two models fail differently: with direct binding the KSA principal accesses resources directly, so failures show up as a plain 403 PERMISSION_DENIED on the target API (fix in Step 4). A 403 iam.serviceAccounts.getAccessToken instead means an impersonation attempt — intended under the legacy path, or unintended if a leftover iam.gke.io/gcp-service-account annotation remains on a KSA that was meant to use direct binding.

(a) Direct KSA binding (no GSA impersonation). The KSA principal is granted roles directly. Construct the principal identifier and search for its bindings:

principal://iam.googleapis.com/projects/{PROJECT_NUMBER}/locations/global/workloadIdentityPools/{PROJECT_ID}.svc.id.goog/subject/ns/{NAMESPACE}/sa/{KSA_NAME}

(b) Legacy: KSA + GSA impersonation. The KSA must be annotated to point at a GSA, and the KSA must hold roles/iam.workloadIdentityUser on that GSA.

bash
# The KSA annotation must reference the intended GSA.
kubectl get serviceaccount "{ksa_name}" -n "{namespace}" \
  -o jsonpath='{.metadata.annotations.iam\.gke\.io/gcp-service-account}'

# The GSA's IAM policy must bind the KSA member to workloadIdentityUser.
gcloud iam service-accounts get-iam-policy \
  "{gsa_name}@{project_id}.iam.gserviceaccount.com" \
  --format=json
# Expect a binding: role roles/iam.workloadIdentityUser,
# member serviceAccount:{PROJECT_ID}.svc.id.goog[{NAMESPACE}/{KSA_NAME}]

If the annotation is present but the binding is missing, the binding was likely removed — check the setIamPolicy audit logs around the failure time to find the responsible principal.


Step 4: Verify IAM permissions on the target resource

Even with a correct binding, the identity (the KSA principal for direct binding, or the GSA for legacy) must hold the role required by the API call (for example roles/storage.objectViewer). The standard IAM Policy Troubleshooter has limited support for Workload Identity principals; use Cloud Asset Inventory to search all IAM policies for the principal instead.

bash
# Direct binding: search for the KSA principal's bindings across the project.
gcloud asset search-all-iam-policies \
  --scope="projects/{PROJECT_ID}" \
  --query='policy:"{PROJECT_ID}.svc.id.goog"'

# Legacy: search for the GSA's bindings on the target resource's project.
gcloud asset search-all-iam-policies \
  --scope="projects/{TARGET_PROJECT_ID}" \
  --query='policy:"{gsa_name}@{project_id}.iam.gserviceaccount.com"'

If no binding grants the required role on the target resource, that missing role is the root cause (and Workload Identity itself is not misconfigured). Present the fix as a proposed change for a human to apply — the exact add-iam-policy-binding with the real principal and role — never applying it automatically. For example, for direct binding on a project-level resource:

bash
gcloud projects add-iam-policy-binding "{TARGET_PROJECT_ID}" \
  --member="principal://iam.googleapis.com/projects/{PROJECT_NUMBER}/locations/global/workloadIdentityPools/{PROJECT_ID}.svc.id.goog/subject/ns/{NAMESPACE}/sa/{KSA_NAME}" \
  --role="{REQUIRED_ROLE}"   # e.g. roles/storage.objectViewer

Show full SKILL.md (601 more words)Show less
Step 5: GKE metadata server & connectivity

Applies when the signature is could not find the metadata server, cannot find the metadata server, or a connection/timeout error. The gke-metadata-server DaemonSet (in kube-system) brokers the token exchange on each node; requests to 169.254.169.254 are redirected to it, so a Pod fails closed if it cannot reach a healthy metadata-server Pod on its node.

(a) Check gke-metadata-server Pod health on the workload's node.

bash
# The DaemonSet Pods must be healthy on the workload's node.
kubectl get pods -n kube-system -l k8s-app=gke-metadata-server -o wide

# A gke-metadata-server Pod can be OOM-evicted when the cluster has many
# (>3,000) Kubernetes service accounts. Look for CrashLoopBackOff, then confirm
# the eviction was OOMKilled.
kubectl get pods -n kube-system | grep CrashLoopBackOff
kubectl describe pod {gke_metadata_server_pod} --namespace=kube-system | grep OOMKilled

(b) Inspect the gke-metadata-server logs (historical, via Cloud Logging; open as a Logs Explorer deep link, see Step 1):

resource.type="k8s_container"
resource.labels.namespace_name="kube-system"
labels."k8s-pod/k8s-app"="gke-metadata-server"
severity>=WARNING

(c) Connectivity test from the affected Pod — it must reach the metadata server and (for some client libraries) resolve its DNS name:

bash
# Token endpoint via the hardcoded metadata IP (a healthy path returns a token).
kubectl exec {pod_name} -n {namespace} -- \
  curl -sS -H 'Metadata-Flavor: Google' \
  'http://169.254.169.254/computeMetadata/v1/instance/service-accounts/default/token'

Possible causes:

  • Startup race: the metadata server needs a few seconds after a Pod starts. Applications that authenticate immediately may fail; the fix is application-side retries or an initContainer that waits for the metadata server, not a cluster change.
  • DNS: some client libraries resolve metadata.google.internal; broken in-cluster DNS surfaces as cannot find the metadata server. As a workaround, set GCE_METADATA_HOST=169.254.169.254 to skip DNS resolution.
  • Network policy / egress: a cluster network policy must allow egress to 169.254.169.254/32 on port 80 (GKE Dataplane V2), or 169.254.169.252/32 on port 988. A default-deny egress rule that blocks HTTPS to the public Security Token Service (sts.googleapis.com:443) produces 504 Gateway Timeout or context deadline exceeded.
  • gke-metadata-server crashing / high restarts: see (a) — reduce the number of Kubernetes service accounts (<3,000) to restore functionality.

Step 6: "Invalid form of account ID" edge case (legacy GSA impersonation)

Applies only to the legacy GSA impersonation setup (a KSA annotated with iam.gke.io/gcp-service-account), not to direct principal binding.

Signature: an operation that requires an IAM service account email (for example, manually creating a Cloud Storage signed URL) fails with:

ERROR: Invalid form of account ID SERVICEACCOUNT_NAME.svc.id.goog.
Should be [Gaia ID | Email | Unique ID | ] of the account

Cause: for a KSA linked to a GSA via annotation, the GKE metadata server by default returns SERVICEACCOUNT_NAME.svc.id.goog as the identifier, which is not a valid IAM service account email. This is not a missing IAM binding and does not require reverting the setup.

Fix (propose to a human): add the iam.gke.io/return-principal-id-as-email="true" annotation to the Pod's KSA so the metadata server returns the identity in the expected form:

bash
kubectl annotate serviceaccount "{ksa_name}" --namespace "{namespace}" \
  iam.gke.io/return-principal-id-as-email="true"

Step 7: Remediation boundary & escalation
  • Present the root cause + evidence (the exact error, the missing binding / annotation / node-pool mode, or the metadata-server state). Include a Cloud Logging deep link (see Step 1) to the supporting entries.
  • Propose the fix as a command or GitOps manifest change for a human to apply — never modify IAM, KSAs, or node pools automatically.

Escalate (instead of proposing more self-service diagnostics) when either:

  • the relevant logs are unavailable (excluded by a filter, or past the log bucket's retention); or
  • the identity/binding is correct, the target-resource IAM is correct, and the metadata server is healthy, yet the failure persists (undetermined root cause).

In those cases: state the limitation plainly, summarize the findings gathered (cluster/node-pool config, bindings, annotations, metadata-server state, and any setIamPolicy audit logs), and route to GKE support / engineering escalation. Do not fabricate a diagnosis when evidence is missing.


References

This skill is derived from public Google Cloud documentation:

© google, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/cloud/gke-workload-identity of google/skills.

Open the folder on GitHubat commit 4b940dd

Compare with similar skills

Gke Workload Identity next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Gke Workload Identity compared with similar skills
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Devopsnicepkg/auto-company1952 repos~814Automated safety check: PassMIT

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Questions about Gke Workload Identity

What does Gke Workload Identity do?

Configures and diagnoses Workload Identity Federation for GKE authentication failures for Pods (403 "iam.serviceAccounts.getAccessToken" / permission denied, "could not find default credentials", or…. Gke Workload Identity is an agent skill from google/skills, published by the product's own GitHub organization.getAccessToken" / permission denied, "could not find default credentials", or GKE metadata server unreachable) by verifying cluster and node-pool Workload Identity configuration, the Kubernetes ServiceAccount (KSA) to IAM binding (direct principal binding and legacy Google ServiceAccount impersonation), target-resource IAM roles, and gke-metadata-server health.

When should I use Gke Workload Identity?

Gke Workload Identity fits situations like: setting up KSA/GSA bindings (roles/iam.workloadIdentityUser; iam.gke.io/gcp-service-account); A Pod cannot authenticate to Google Cloud APIs; in-cluster Kubernetes RBAC errors (API-server authorization).

How do I install Gke Workload Identity in Claude Code?

Run `npx skills add google/skills --skill gke-workload-identity -a claude-code`. Or copy the skill folder (skills/cloud/gke-workload-identity in google/skills) into .claude/skills/gke-workload-identity in your project. Claude Code loads it when a task matches its description.

How do I install Gke Workload Identity in Codex?

Run `npx skills add google/skills --skill gke-workload-identity -a codex`. Or copy the skill folder (skills/cloud/gke-workload-identity in google/skills) into .agents/skills/gke-workload-identity in your project. Codex loads it when a task matches its description.

Can I use Gke Workload Identity in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add google/skills --skill gke-workload-identity -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gke-workload-identity, .gemini/skills/gke-workload-identity, .github/skills/gke-workload-identity and .opencode/skills/gke-workload-identity in your project.

What does Gke Workload Identity need to run?

Going by SKILL.md and its folder, Gke Workload Identity needs the command-line tools its instructions call (kubectl, gcloud and curl).

Does Gke Workload Identity access the network?

SKILL.md names 3 domains. In commands or code: console.cloud.google.com; the agent is likely to contact it when it follows the instructions. As links in the text: docs.cloud.google.com and cloud.google.com. This is read from the text; nothing was executed.

Is Gke Workload Identity safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Gke Workload Identity use?

Gke Workload Identity is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Gke Workload Identity use?

About 4.4k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Gke Workload Identity?

Skills that share tags, products or a category with Gke Workload Identity: Securing Kubernetes On Cloud (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Dt Obs GCP (Dynatrace/dynatrace-for-ai, 163 stars), Defending Kubernetes (trilwu/secskills, 157 stars) and Mirrord Operator (aiskillstore/marketplace, 433 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Gke Workload Identity?

google (a GitHub organization, an official publisher) maintains it in google/skills, which has 21,097 GitHub stars. The repository holds 150 skills in this directory. The repository was last updated on October 9, 2026.

Source: google/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.