agent-registry

agent-registry is a skill for Claude Code, Codex from mfmezger/ai_agent_dotfiles. It costs 110 tokens per session (5,428 once invoked), scanned A, original, MIT.

A set of instructions for managing Google Cloud Agent Registry resources with the gcloud command-line tool. Agent Registry is a Google Cloud service for registering and managing agents and related services.

In plain words
What is it for?
Use it to list or inspect registered agents, create or update agent services, manage MCP servers, and change agent status or configuration. Changes require approval before execution.
Why use it?
It translates plain-language requests into the relevant commands and checks the current Google Cloud project and region first.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to list or inspect registered agents, create or update agent services, manage MCP servers, and change agent status or configuration. Changes require approval before execution.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mfmezger/ai_agent_dotfiles/agent-registry
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add mfmezger/ai_agent_dotfiles --skill agent-registry
Clone the repo
git clone --depth 1 https://github.com/mfmezger/ai_agent_dotfiles

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for agent-registry

README.md
[![agentmods](https://agentmods.dev/badge/skills/mfmezger/ai_agent_dotfiles/agent-registry/github.svg)](https://agentmods.dev/skills/mfmezger/ai_agent_dotfiles/agent-registry)
Your own site
<a href="https://agentmods.dev/skills/mfmezger/ai_agent_dotfiles/agent-registry"><img src="https://agentmods.dev/badge/skills/mfmezger/ai_agent_dotfiles/agent-registry/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for agent-registry

Your own site · 80×15
<a href="https://agentmods.dev/skills/mfmezger/ai_agent_dotfiles/agent-registry"><img src="https://agentmods.dev/badge/skills/mfmezger/ai_agent_dotfiles/agent-registry.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,428 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00110 $0.05428
Opus 5 $0.00055 $0.02714
Sonnet 5 $0.00022 $0.01086
Haiku 4.5 $0.00011 $0.00543

Measured 8d ago against content hash 2e6b8fdd5d5d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

agent-registry scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/agent-dashboard.sh, scripts/annotate_gke.py, scripts/mcp-dashboard.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

shared/skills/agent-registry/SKILL.md · 463 lines

How it starts

The opening of the file, as written. The whole thing — 463 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Google Cloud Agent Registry Skill

Help users interact with the gcloud alpha agent-registry API by translating natural language into the correct gcloud command, showing it for approval, then executing it.

Workflow

  1. Resolve session context — at the start of each session, silently run:

    gcloud config get-value project 2>/dev/null
    gcloud config get-value compute/region 2>/dev/null
    

    Store the results as SESSION_PROJECT and SESSION_LOCATION. Use these as defaults.

  2. Parse the user's request to identify the resource and action.

  3. Construct the gcloud command using session defaults.

  4. Approval:

    • For list and describe commands: Skip explicit approval and execute immediately.
    • For create, delete, or update commands: Show the command and ask for approval: "Ready to run this command? (yes/no)"
  5. Execute and display the output.

Auth & Setup

# Check auth
gcloud auth list

# Login
gcloud auth login

# Set project
gcloud config set project PROJECT_ID

# (Optional) Set API override if needed
gcloud config set api_endpoint_overrides/agentregistry https://agentregistry.googleapis.com/

IAM Permissions

Role Access Level
roles/agentregistry.admin Full administrative access
roles/agentregistry.editor Editor access
roles/agentregistry.viewer Read only access

Resource Types & Registration

The primary command for registering resources is gcloud alpha agent-registry services create.

1. MCP Servers

Used to register Model Context Protocol servers.

# Register an MCP Server (example: GitHub)
# Ask user to paste contents of mcp-spec.json for --mcp-server-spec-content
gcloud alpha agent-registry services create github \
  --location=us-central1 \
  --display-name="GitHub MCP Server" \
  --description="Connects to GitHub" \
  --mcp-server-spec-type=tool-spec \
  --mcp-server-spec-content='PASTE_MCP_SPEC_JSON_HERE' \
  --interfaces='[{"protocolBinding": "jsonrpc", "url": "https://api.github.com/mcp"}]'

# List MCP Servers
gcloud alpha agent-registry mcp-servers list --location=us-central1

# Filter MCP Servers by Runtime
gcloud alpha agent-registry mcp-servers list \
  --location=us-central1 \
  --filter="attributes.\"agentregistry.googleapis.com/system/RuntimeReference\".uri:reasoningEngine"

# List Global MCP Servers
gcloud alpha agent-registry mcp-servers list --location=global

Read the full file on GitHub · 463 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 463 lines · 110 tokens per session scan A 2e6b8fdd5d5d

Subscribe to this mod's changes

agent-registry is a skill published in the GitHub repository mfmezger/ai_agent_dotfiles (5 stars, last pushed 1mo ago), licensed MIT. It adds 110 tokens to every session and 5,428 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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