Agent Platform Model Registry

GoogleOfficialPublished by Google

Skill
Tool integration
Data and AI
Apache-2.0
No issues found

From the author

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

— the description by Google

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured approach to managing machine learning models in the Agent Platform Model Registry. It supports listing, describing, uploading, updating, and deleting models. The skill enforces strict safety protocols, including mandatory interactive confirmation for mutating operations and explicit typed confirmation for destructive actions, ensuring controlled management of model metadata and artifacts.

What it does

Lists models and retrieves detailed metadata for specific model versions.
Uploads new models or registers new versions of existing models.
Updates model metadata such as display names and descriptions.
Deletes models and their associated versions from the registry.
Searches for publisher models within the Model Garden.
Enforces usage attribution for all executed commands.

When to use it

When you need to catalog or organize machine learning models.
When updating metadata for an existing model in the registry.
When registering a new model or a new version of an existing model.
When cleaning up the registry by removing obsolete models.
When you need to verify model details before performing operations.

Advantages

Provides clear safety tiers for read, update, and delete operations.
Prevents accidental deletions through mandatory typed confirmation.
Ensures consistent parameter handling for regional and project-specific commands.
Includes built-in attribution for tracking command usage.
Standardizes the process for updating model metadata via Python SDK.

Usage examples

“List the 50 most recent models in my project.”: The agent executes a gcloud command to list the 50 most recently updated models in the specified region and project.
“Delete the model with ID 12345.”: The agent requests explicit typed confirmation from the user before proceeding with the irreversible deletion of the specified model.

Install

Download the skill as a ZIP:
https://autogineer.com/agent-skills/google/agent-platform-model-registry/download

Unzip it into the cross-client skills folder of your project:

mkdir -p .agents/skills && unzip agent-platform-model-registry.zip -d .agents/skills

Documentation by Google

Agent Platform Model Registry Management

Attribution

MUST READ: Before executing any gcloud, REST API, or MCP command, you MUST read Usage Attribution. For commands executed directly in the terminal (never in generated scripts, Terraform, or user code), prefix gcloud with CLOUDSDK_METRICS_REQUEST_ATTRIBUTION and append the attribution suffix to User-Agent headers:

CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:agent-platform-model-registry)"
User-Agent: <existing_user_agent> agent-skills/1.0 (skill:agent-platform-model-registry)

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, --project=..., --display-name="...") — natural-language paraphrases are NOT sufficient.
- Same-turn restriction: NEVER execute the command in the same turn as receiving the request or presenting the confirmation prompt! In Turn 1, you MUST ONLY present the interactive confirmation card with the exact, literal command string. Stop and wait for the user's reply; only execute in the subsequent turn after explicit 'Yes' / approval. Executing upload or update in Turn 1 without prior confirmation is strictly prohibited.
- Mid-flow parameter changes / rejection: If the user rejects the prompt or changes any parameters (e.g., display name, description, parent model), do NOT execute the old command. Adapt immediately and present a NEW confirmation prompt with the updated literal command and wait for 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.
- Mid-flow target changes: If the user changes their mind (e.g., "delete the second model instead"), do NOT delete the first model. Present a fresh typed confirmation prompt for the newly selected model ID and wait for approval.
Cost Estimation: Model Registry operations manage catalog metadata and stored model artifacts without provisioning serving compute or endpoints. Do NOT call the estimate_cost tool for Model Registry actions, as estimate_cost is designed for serving infrastructure (endpoints/batch prediction) and will return an error if called for registry operations. If including cost in the preview card, state that Model Registry operations incur no serving compute charges ($0.00 compute charges; standard Cloud Storage pricing applies to model artifacts).

Phase 0: Environment Setup & Parameter Resolution

CRITICAL: Before running any commands, verify that all necessary parameters are known:

Missing Region or Project: Follow the base environment grounding policy: if a session location or project is already set from prior turns, reuse it without re-asking. If missing from both prompt and session context, at most one direct lookup is permitted (e.g. gcloud config get project or gcloud config get compute/region). If the user refers to "my project" or their configured environment and compute/region is (unset), fall back to us-central1 per base environment grounding; otherwise, if the region is still unresolved, pause and explicitly ask the user for the missing parameter before executing regional commands.
Missing Model ID: If the user asks to update or describe a model without providing the model ID, pause and ask the user for the model ID, or offer to list models first to help them find it.
Placeholder Substitution: If the user's requested display name contains a placeholder token (e.g., <unique-suffix>, [suffix], or <timestamp>), generate a short unique alphanumeric string or timestamp and substitute it cleanly. Never pass unexpanded literal placeholder tokens to the API.
Region and Project Flags: Always pass --region=$LOCATION_ID and --project=$PROJECT_ID explicitly on all gcloud ai models commands. 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.

Always pass --limit. A project can hold thousands of models, and an unbounded list pages through every one of them, which can take over a minute and return hundreds of KB of output. Results come back most recently updated first, so --limit=50 returns the newest models in a few seconds.

gcloud ai models list \
    --region=$LOCATION_ID \
    --project=$PROJECT_ID \
    --limit=50

Keep --limit=50 when the user asks to list "all" models, and say the reply shows the 50 most recently updated models. Do NOT page through the whole registry (with gcloud or Model.list()) unless the user asks for a count or the complete inventory; offer to look up a specific model by display name instead.
If the user pushes back and asks for the complete inventory, drop --limit and print one compact line per model with --format="value(name.basename(),displayName)". Warn that this can take a minute or more in a large project.
If the user asks how many models there are, count the IDs without printing the list. There is no count API, so this still pages through every model (about a minute per 1,500 models); tell the user it may take a while. Do not run a --limit list first.
```
gcloud ai models list \
    --region=$LOCATION_ID \
    --project=$PROJECT_ID \
    --format="value(name)" | wc -l
```
Do NOT use --filter or --sort-by to narrow the list. gcloud applies both client-side after fetching every page, so they are as slow as an unbounded list.
To find a model by display name (e.g. to confirm an upload or deletion), filter on the server with the Python SDK:

python3 - <<'PY'
from google.cloud import aiplatform

aiplatform.init(project='<PROJECT_ID>', location='<LOCATION_ID>')
for m in aiplatform.Model.list(filter='display_name="<DISPLAY_NAME>"'):
    print(m.name, m.display_name, m.create_time)
PY

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 \
    --project=$PROJECT_ID

To target a specific version:

gcloud ai models describe ${MODEL_ID}@${VERSION_ID} \
    --region=$LOCATION_ID \
    --project=$PROJECT_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=$LOCATION_ID \
    --project=$PROJECT_ID \
    --display-name="<DISPLAY_NAME>" \
    --container-image-uri="<CONTAINER_IMAGE_URI>" \
    [--artifact-uri="<ARTIFACT_URI>"]

[!IMPORTANT]
This is a Tier M operation — see [Safety & Confirmation Tiers] above.
If the user specifies "with no artifact URI", omit --artifact-uri.
If registering a new version of an existing model, include --parent-model=$PARENT_MODEL_ID.
Substitute <DISPLAY_NAME> with the exact name requested by the user.

4. Updating a Model (Tier M)

Update metadata fields like display name or description. Note that gcloud ai models does NOT have an update subcommand. Instead, model metadata updates MUST be executed using the Vertex AI Python SDK (google.cloud.aiplatform.Model).

Action requires an inline confirmation card containing the exact script before proceeding.

python3 -c "
from google.cloud import aiplatform

aiplatform.init(project='$PROJECT_ID', location='$LOCATION_ID')
model = aiplatform.Model('$MODEL_ID')
model.update(display_name='<NEW_DISPLAY_NAME>', description='<NEW_DESCRIPTION>')
print(f'Successfully updated model: {model.resource_name}')
"

[!IMPORTANT]
This is a Tier M operation — see [Safety & Confirmation Tiers] above.
If only updating the display name, pass model.update(display_name='<NEW_DISPLAY_NAME>').
If only updating the description, pass model.update(description='<NEW_DESCRIPTION>').
The confirmation card MUST display the exact python command snippet above. NEVER execute in Turn 1; wait for explicit user approval.

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 \
    --project=$PROJECT_ID

[!WARNING]
This operation is irreversible. All model versions must be undeployed from all Endpoints before deletion.

6. Searching Publisher Models (Tier R)

Before generating interactive model details, you MUST verify the model_id by searching Model Garden Publisher Models. No confirmation is required.

Use the gcloud ai CLI to search for matching publisher models.

gcloud ai model-garden models list --model-filter="<model_name_or_query>" --full-resource-name --format=json

This will return a list of matching models. Extract the exact name field from the result (e.g., publishers/google/models/gemma2 or publishers/qwen/models/qwen3-coder) to use as the verified model_id.

Files

ATTRIBUTION.mdAdded by AutoGineer876 B
LICENSELicence file added by AutoGineer11.1 KiB
SKILL.md10.7 KiB
references/attribution.md1.9 KiB

LICENSE


                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

   1. Definitions.

      "License" shall mean the terms and conditions for use, reproduction,
      and distribution as defined by Sections 1 through 9 of this document.

      "Licensor" shall mean the copyright owner or entity authorized by
      the copyright owner that is granting the License.

      "Legal Entity" shall mean the union of the acting entity and all
      other entities that control, are controlled by, or are under common
      control with that entity. For the purposes of this definition,
      "control" means (i) the power, direct or indirect, to cause the
      direction or management of such entity, whether by contract or
      otherwise, or (ii) ownership of fifty percent (50%) or more of the
      outstanding shares, or (iii) beneficial ownership of such entity.

      "You" (or "Your") shall mean an individual or Legal Entity
      exercising permissions granted by this License.

      "Source" form shall mean the preferred form for making modifications,
      including but not limited to software source code, documentation
      source, and configuration files.

      "Object" form shall mean any form resulting from mechanical
      transformation or translation of a Source form, including but
      not limited to compiled object code, generated documentation,
      and conversions to other media types.

      "Work" shall mean the work of authorship, whether in Source or
      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work
      (an example is provided in the Appendix below).

      "Derivative Works" shall mean any work, whether in Source or Object
      form, that is based on (or derived from) the Work and for which the
      editorial revisions, annotations, elaborations, or other modifications
      represent, as a whole, an original work of authorship. For the purposes
      of this License, Derivative Works shall not include works that remain
      separable from, or merely link (or bind by name) to the interfaces of,
      the Work and Derivative Works thereof.

      "Contribution" shall mean any work of authorship, including
      the original version of the Work and any modifications or additions
      to that Work or Derivative Works thereof, that is intentionally
      submitted to Licensor for inclusion in the Work by the copyright owner
      or by an individual or Legal Entity authorized to submit on behalf of
      the copyright owner. For the purposes of this definition, "submitted"
      means any form of electronic, verbal, or written communication sent
      to the Licensor or its representatives, including but not limited to
      communication on electronic mailing lists, source code control systems,
      and issue tracking systems that are managed by, or on behalf of, the
      Licensor for the purpose of discussing and improving the Work, but
      excluding communication that is conspicuously marked or otherwise
      designated in writing by the copyright owner as "Not a Contribution."

      "Contributor" shall mean Licensor and any individual or Legal Entity
      on behalf of whom a Contribution has been received by Licensor and
      subsequently incorporated within the Work.

   2. Grant of Copyright License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      copyright license to reproduce, prepare Derivative Works of,
      publicly display, publicly perform, sublicense, and distribute the
      Work and such Derivative Works in Source or Object form.

   3. Grant of Patent License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      (except as stated in this section) patent license to make, have made,
      use, offer to sell, sell, import, and otherwise transfer the Work,
      where such license applies only to those patent claims licensable
      by such Contributor that are necessarily infringed by their
      Contribution(s) alone or by combination of their Contribution(s)
      with the Work to which such Contribution(s) was submitted. If You
      institute patent litigation against any entity (including a
      cross-claim or counterclaim in a lawsuit) alleging that the Work
      or a Contribution incorporated within the Work constitutes direct
      or contributory patent infringement, then any patent licenses
      granted to You under this License for that Work shall terminate
      as of the date such litigation is filed.

   4. Redistribution. You may reproduce and distribute copies of the
      Work or Derivative Works thereof in any medium, with or without
      modifications, and in Source or Object form, provided that You
      meet the following conditions:

      (a) You must give any other recipients of the Work or
          Derivative Works a copy of this License; and

      (b) You must cause any modified files to carry prominent notices
          stating that You changed the files; and

      (c) You must retain, in the Source form of any Derivative Works
          that You distribute, all copyright, patent, trademark, and
          attribution notices from the Source form of the Work,
          excluding those notices that do not pertain to any part of
          the Derivative Works; and

      (d) If the Work includes a "NOTICE" text file as part of its
          distribution, then any Derivative Works that You distribute must
          include a readable copy of the attribution notices contained
          within such NOTICE file, excluding those notices that do not
          pertain to any part of the Derivative Works, in at least one
          of the following places: within a NOTICE text file distributed
          as part of the Derivative Works; within the Source form or
          documentation, if provided along with the Derivative Works; or,
          within a display generated by the Derivative Works, if and
          wherever such third-party notices normally appear. The contents
          of the NOTICE file are for informational purposes only and
          do not modify the License. You may add Your own attribution
          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

      You may add Your own copyright statement to Your modifications and
      may provide additional or different license terms and conditions
      for use, reproduction, or distribution of Your modifications, or
      for any such Derivative Works as a whole, provided Your use,
      reproduction, and distribution of the Work otherwise complies with
      the conditions stated in this License.

   5. Submission of Contributions. Unless You explicitly state otherwise,
      any Contribution intentionally submitted for inclusion in the Work
      by You to the Licensor shall be under the terms and conditions of
      this License, without any additional terms or conditions.
      Notwithstanding the above, nothing herein shall supersede or modify
      the terms of any separate license agreement you may have executed
      with Licensor regarding such Contributions.

   6. Trademarks. This License does not grant permission to use the trade
      names, trademarks, service marks, or product names of the Licensor,
      except as required for reasonable and customary use in describing the
      origin of the Work and reproducing the content of the NOTICE file.

   7. Disclaimer of Warranty. Unless required by applicable law or
      agreed to in writing, Licensor provides the Work (and each
      Contributor provides its Contributions) on an "AS IS" BASIS,
      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
      implied, including, without limitation, any warranties or conditions
      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
      PARTICULAR PURPOSE. You are solely responsible for determining the
      appropriateness of using or redistributing the Work and assume any
      risks associated with Your exercise of permissions under this License.

   8. Limitation of Liability. In no event and under no legal theory,
      whether in tort (including negligence), contract, or otherwise,
      unless required by applicable law (such as deliberate and grossly
      negligent acts) or agreed to in writing, shall any Contributor be
      liable to You for damages, including any direct, indirect, special,
      incidental, or consequential damages of any character arising as a
      result of this License or out of the use or inability to use the
      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing
      the Work or Derivative Works thereof, You may choose to offer,
      and charge a fee for, acceptance of support, warranty, indemnity,
      or other liability obligations and/or rights consistent with this
      License. However, in accepting such obligations, You may act only
      on Your own behalf and on Your sole responsibility, not on behalf
      of any other Contributor, and only if You agree to indemnify,
      defend, and hold each Contributor harmless for any liability
      incurred by, or claims asserted against, such Contributor by reason
      of your accepting any such warranty or additional liability.

   END OF TERMS AND CONDITIONS

   APPENDIX: How to apply the Apache License to your work.

      To apply the Apache License to your work, attach the following
      boilerplate notice, with the fields enclosed by brackets "[]"
      replaced with your own identifying information. (Don't include
      the brackets!)  The text should be enclosed in the appropriate
      comment syntax for the file format. We also recommend that a
      file or class name and description of purpose be included on the
      same "printed page" as the copyright notice for easier
      identification within third-party archives.

   Copyright [yyyy] [name of copyright owner]

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs a command-line tool, Needs Python

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by

Google

Publisher

Google (Official)

Source

google/skills · skills/cloud/agent-platform-model-registry · commit 2194d3b

Licence

Apache License 2.0 (redistribution allowed)

LICENSE (added by AutoGineer from LICENSE)
ATTRIBUTION.md (written by AutoGineer)

Synced

2026-11-09

AutoGineer is not affiliated with or endorsed by Google or Google.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download agent-platform-model-registry.zip