Agent Platform Skill RegistrySAFE

Agent Skills for Google products and technologies

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: agent-platform-skill-registry
metadata:
  version: "1.0.1"
  category: AiAndMachineLearning
description: >
  Interact with the Gemini Enterprise Agent Platform Skill Registry to create
  and search for available skills. Use this skill to enable agents to register
  functionality or discover new capabilities.
---

# Skill Registry

This skill provides instructions for interacting with the **Skill Registry** on
the Gemini Enterprise Agent Platform.

## 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-skill-registry)"`
and append
`agent-skills/1.0 (skill:agent-platform-skill-registry)`
to `User-Agent` headers.

## Core Capabilities

-   **Skill Discovery** - Query the registry to easily search, list, get
    specific skills, and inspect revision histories.
-   **Skill Lifecycle Management** - Upload, update, or permanently delete
    skills.
-   **Operation Monitoring** - Utility to check the completion status of
    long-running state changes (LROs).
-   **Generate Skill** - Automate the initial scaffolding of new agent skills
    locally.

## Core Directives

-   **Mandatory Validation**: ALWAYS execute the environment validation check
    before performing any operations.

    Before any operation, you **must** validate the core environment.

    ```bash
    # Execute the validation script
    python3 scripts/validate_env.py
    ```

## Prerequisites & Authentication

### Library & Authentication

Ensure you have the latest Google Cloud credentials and libraries installed.

```bash
# Install required libraries
pip install google-auth requests

# Authenticate with Google Cloud
gcloud auth application-default login
```

### Environment Variables

The following variables are required for operations:

-   `GCP_PROJECT_ID`: Your Google Cloud Project ID.
-   `GCP_LOCATION`: The region (e.g., `us-central1`).

--------------------------------------------------------------------------------

## Quickstart

Quickly search for available skills in the registry:

```bash
python3 scripts/skill_registry_ops.py search \
  --query "test skill" \
  --top-k 5
```

--------------------------------------------------------------------------------

## Operations

-   **Skill Discovery**: [query-skills.md](references/query-skills.md)
-   **Skill Lifecycle**: [manage-skills.md](references/manage-skills.md)
-   **Monitor Operations**:
    [monitor-operations.md](references/monitor-operations.md)
-   **Generate Skill**: [generate-skill.md](references/generate-skill.md)

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

What the source does

Filesystem

none-observed

Network

declared (5 observation(s))

Shell

none-observed

Dependencies

not all pinned

Secrets in source

none-found

Findings (1)

google-auth, requests

Gates applied: no_behavioural_pass.

[![ModelsAtlas audit: Agent Platform Skill Registry](https://modelsatlas.com/skills/google/agent-platform-skill-registry/badge.svg)](https://modelsatlas.com/skills/google/agent-platform-skill-registry/)

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