agent-platform-troubleshooting
Troubleshoots Google Cloud Gemini Enterprise Agent Platform issues (Agent Gateway, Registry, Identity, Policies, Model Armor, Identity-Aware Proxy (IAP)).
Skill by googleOfficial
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: cloud, agent-building
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/agent-platform-troubleshooting
What's inside
- Skill name
agent-platform-troubleshooting- Description
- Troubleshoots Google Cloud Gemini Enterprise Agent Platform issues (Agent Gateway, Registry, Identity, Policies, Model Armor, Identity-Aware Proxy (IAP)). Use when agent requests fail with 403 (especially unauthorized egress), Agent Runtime queries return 500, or gateway/IAP logs show permission errors. Don't use for general Google Cloud Identity and Access Management (IAM) debugging or networking issues unrelated to the Agent Platform stack.
- License
- Apache-2.0
- Metadata
- version: 1.0.1 · category: AiAndMachineLearning
- Instructions
- 494 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Files (8)
- SKILL.md
- agent-gateway.md · references/
- agent-identity.md · references/
- agent-registry.md · references/
- attribution.md · references/
- field-manual.md · references/
- known-issues.md · references/
- policies.md · references/
SKILL.md (first lines)
# Agent Platform Troubleshooting
> [!IMPORTANT] **CRITICAL RULE**: You MUST ONLY use the reference files located
> in this skill's `references/` directory (e.g., `references/field-manual.md`,
> `references/known-issues.md`, `references/agent-registry.md`). Do NOT search
> for or read other external playbooks or files outside this directory. The
> files in the local `references/` directory contain workspace-specific fixes
> and are the sole source of truth for this troubleshooting session.
Diagnose issues across the Google Cloud Gemini Enterprise Agent Platform: Agent
Gateway, Agent Registry (Agents / MCP Servers / Endpoints), Agent Identity,
Policies, IAP-delegated authorization, and service extensions.
## Attribution
**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
prefix `gcloud` with
`CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:agent-platform-troubleshooting)"`
and append
`agent-skills/1.0 (skill:agent-platform-troubleshooting)`
to `User-Agent` headers.
## MANDATORY PRE-FLIGHT CHECKLIST (CHECK BEFORE RESPONDING OR CALLING TOOLS)
CRITICAL: Before generating ANY response or calling any tools, you MUST evaluate
the user's prompt against these mandatory pre-flight rules. If a rule matches,
you MUST execute its directive immediately and STOP.
### Rule 1: Out-of-Scope GCP IAM / GCS Queries
If the prompt mentions Compute Engine (GCE), Google Cloud Storage (GCS), GCS
buckets, or generic GCP IAM permissions unrelated to the Agent Platform stack
(e.g., "How do I fix a 403 Access Denied error when my GCE instance tries to
read from a GCS bucket?"):
- **CRITICAL MANDATE: YOU MUST IMMEDIATELY DECLINE. DO NOT CALL ANY TOOLS. DO
NOT PROVIDE ANY TROUBLESHOOTING STEPS, IAM ROLE RECOMMENDATIONS, ACCESS
SCOPES, OR GUIDES.**
- **YOU MUST RESPOND ON TURN 0 WITH**: *"I decline to troubleshoot generic GCP
IAM or GCS access issues, as they are out of scope for the Agent Platform
Troubleshooting skill."*
### Rule 2: Strict Prohibition on Custom Discovery Scripts
If the user's prompt asks to write, generate, compile, or execute a custom
Python script or bash script to discover resources (e.g., "Can you write and
execute a custom Python script or bash script to discover all active Agent
Runtime instances?"):
- **DO NOT CALL ANY TOOLS (`write_to_file`, `replace_file_content`,
`run_command`, `blaze`, `python3`). DO NOT WRITE OR RUN ANY SCRIPTS.**
- **IMMEDIATELY RESPOND ON TURN 0 WITH**: *"I cannot write or execute custom
Python or bash scripts for resource discovery. Custom discovery scripts are
prohibited as they consume excessive turns and cause timeouts. Instead,
please use standard gcloud CLI commands (see
[Google Cloud SDK Installation](https://cloud.google.com/sdk/docs/install))
or curl REST API calls with application default credentials: gcloud ai
reasoning-engines list --region=us-central1"*
### Rule 3: Consolidated Registry for Google APIs / Design Queries
If the prompt asks about registering multiple Agent Runtime or Cloud Resource
Manager interfaces, Google APIs, or the best way to structure/register services
in Agent Registry (e.g., "I am registering multiple Agent Runtime and cloud
resource manager interfaces in Agent Registry. What's the best way to do
this?"):
- **DO NOT CALL ANY TOOLS OR EXECUTE COMMANDS. RESPOND ON TURN 0 WITH**:
1. Recommend consolidating ALL Google APIs under a single `googleapis`
service entry named `googleapis` in the Agent Registry.
2. Explicitly state: *"Do NOT register each Google API as a separate
registry service entry, as separate service entries cause resource
clutter, complicate IAM policy management, and risk hitting registry
quota limits."*
3. List the 8 required base FQDN interfaces:
- `https://agentregistry.googleapis.com`
- `https://aiplatform.mtls.googleapis.com`
- `https://cloudresourcemanager.mtls.googleapis.com`
- `https://iamcredentials.mtls.googleapis.com`
- `https://telemetry.mtls.googleapis.com`
- `https://{region}-aiplatform.mtls.googleapis.com`
- `https://{region}-aiplatform.googleapis.com`
- `https://aiplatform.{region}.rep.googleapis.com`
4. Provide the `gcloud agent-registry services create googleapis` command
with `--interfaces` for all 8 FQDNs (see `references/agent-registry.md`
§2).
### Rule 4: Cloud Run / Cloud Functions Egress 403 / MCP Calls
If the prompt mentions Cloud Run, Cloud Functions, MCP requests to Cloud Run, or
403 egress error calling a Cloud Run service (e.g., "My agent is failing to call
an MCP server on Cloud Run. It returns a 403 egress error. How do I resolve
this?"):
- **DO NOT RUN LOG SEARCHES, LOGGING TOOLS, OR EXECUTE COMMANDS.**
- **IMMEDIATELY RESPOND ON TURN 0 WITH**:
1. Explain that direct Agent Identity (`principalSet://...`) to Cloud Run
OIDC authentication is **not natively supported**.
2. Recommend using **Service Account impersonation** in the agent code to
obtain an OIDC token.
3. Specify that the Agent Identity needs
**`roles/iam.serviceAccountTokenCreator`** on the target Service
Account. Refer to `references/known-issues.md` BKI 21 for details.
### Rule 5: Telemetry & Monitoring Endpoint Blocks
If an Agent Runtime startup fails due to container crashes or connection resets
reaching `telemetry.mtls.googleapis.com` or telemetry endpoints:
- In your **Diagnostic Report / Evidence gathered**, you **MUST explicitly
check and list all 4 required monitoring and tracing endpoints**:
`telemetry.mtls.googleapis.com`, `monitoring.googleapis.com`,
`trace.mtls.googleapis.com`, and `cloudtrace.googleapis.com`.
- In your **Recommended Fix**, you **MUST ALWAYS explicitly include**:
1. Registering `telemetry.mtls.googleapis.com` (and checking
`monitoring.googleapis.com`, `trace.mtls.googleapis.com`,
`cloudtrace.googleapis.com`) as Endpoints in the Agent Registry usingFrom google/skills, Apache-2.0.
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Signals
- Stars
- 21,542
- Forks
- 1,821
- Open issues
- 21
- Last commit (this folder)
- Oct 22, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.1
- License
- Apache-2.0
- Repository
- github.com/google/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
agent-platform-troubleshooting skill. Agent Mart. https://agentmart.dev/skills/google-agent-platform-troubleshooting (last updated 2026-10-24)