Install
$ agentstack add skill-google-skills-agent-platform-model-registry ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Agent Platform Model Registry Management
Overview
This skill provides instructions for managing machine learning models in the Agent Platform Model Registry. It covers listing models, describing model details, uploading new models or versions, updating metadata, and deleting models.
Safety & Confirmation Tiers (CRITICAL)
Before executing any commands on behalf of the user, you MUST adhere to the following safety tiers based on the action requested:
- Tier R: Read-only (
list,describe,get)
- No confirmation needed. Execute immediately to gather information.
- Tier M: Mutating & Reversible (
upload,update)
- Requires interactive confirmation with 'Yes'/'No' options. The
confirmation prompt MUST contain the exact, literal command string with all required flags (e.g. --region=us-central1, --display-name="...") — natural-language paraphrases are NOT sufficient.
- Same-turn restriction: NEVER execute the command in the same turn
as presenting the confirmation prompt. Stop and wait for the user's reply; only execute after explicit 'Yes' / approval.
- Tier D: Destructive & Irreversible (
delete)
- Requires explicit typed confirmation (e.g. "I confirm" or "Yes,
delete it"). Ask for confirmation IMMEDIATELY — before any pre-flight checks (don't check if the model is deployed to endpoints first).
- Same-turn restriction: NEVER execute in the same turn as asking
for typed confirmation. Wait for the user to reply in a new turn.
Phase 0: Environment Setup
CRITICAL: Before running any commands, you MUST ensure the environment is correctly initialized by following these steps:
- Google Cloud Authentication: Authenticate with your Google Cloud
credentials and configure active Application Default Credentials (ADC) for Agent Platform access:
``bash gcloud auth login gcloud auth application-default login ``
- Set Project: Configure the active project for subsequent commands:
``bash gcloud config set project $PROJECT_ID ``
- Region: Always specify
--region=$LOCATION_IDon each command below.
Do NOT use global.
1. Listing Models (Tier R)
Use this command to discover existing models in the registry and retrieve their numeric IDs. No confirmation is required.
gcloud ai models list \
--region=$LOCATION_ID
2. Describing a Model (Tier R)
Retrieve the full metadata for a specific model or version. No confirmation is required.
gcloud ai models describe $MODEL_ID \
--region=$LOCATION_ID
To target a specific version:
gcloud ai models describe ${MODEL_ID}@${VERSION_ID} \
--region=$LOCATION_ID
3. Uploading a Model (Tier M)
Register a new model or a new version of an existing model. This is a long-running operation. Action requires an inline confirmation card before proceeding.
Example: Uploading a Custom Model
gcloud ai models upload \
--region=$LOCATION_ID \
--display-name="my-custom-model" \
--container-image-uri="gcr.io/my-project/my-model:latest" \
--artifact-uri="gs://my-bucket/path/to/artifacts"
> [!IMPORTANT] This is a Tier M operation — see [Safety & Confirmation Tiers] > above.
To upload a new version of an existing model, use the --parent-model flag or specify the parent model ID.
4. Updating a Model (Tier M)
Update metadata fields like display name, description, or labels. Action requires an inline confirmation card before proceeding.
gcloud ai models update $MODEL_ID \
--region=$LOCATION_ID \
--display-name="new-display-name" \
--description="Updated description"
> [!IMPORTANT] This is a Tier M operation — see [Safety & Confirmation Tiers] > above.
5. Deleting a Model (Tier D)
Permanently delete a Model and all its versions. Action requires explicit typed confirmation before proceeding.
gcloud ai models delete $MODEL_ID \
--region=$LOCATION_ID
> [!WARNING] This operation is irreversible. All model versions must be > undeployed from all Endpoints before deletion.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: google
- Source: google/skills
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.