agy-cli-agent

agy-cli-agent is a skill for Claude Code from richfrem/agent-plugins-skills. It costs 41 tokens per session (665 once invoked), scanned A, original, MIT.

A command-line sub-agent dispatcher for sending tasks to Google Gemini and other models through the Antigravity, or agy, command. It supports choosing a backend and model for each task.

In plain words
What is it for?
Use it to dispatch coding, analysis, architecture, or other agent tasks through Gemini models and to run validation or review stages when required.
Why use it?
It gives multi-agent workflows a consistent way to delegate work and apply required review steps. It also makes the model choice explicit instead of silently switching services.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents.

Part of the cli-agents plugin — 11 skills, 13 agents shipped together

Good fit Use it to dispatch coding, analysis, architecture, or other agent tasks through Gemini models and to run validation or review stages when required.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/richfrem/agent-plugins-skills/agy-cli-agent
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 richfrem/agent-plugins-skills --skill agy-cli-agent
Clone the repo
git clone --depth 1 https://github.com/richfrem/agent-plugins-skills

Made for: Claude Code.

Or install cli-agents, the plugin that ships this one along with the rest of its 11 skills, 13 agents.

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 agy-cli-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/agy-cli-agent/github.svg)](https://agentmods.dev/skills/richfrem/agent-plugins-skills/agy-cli-agent)
Your own site
<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/agy-cli-agent"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/agy-cli-agent/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 agy-cli-agent

Your own site · 80×15
<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/agy-cli-agent"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/agy-cli-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 665 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 156
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
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 $0.00041 $0.00665
Opus 5.5 $0.00016 $0.00266
Sonnet 5.5 $0.00008 $0.00133
Haiku 4.5 $0.00004 $0.00067

Measured 18d ago against content hash 16f94c015073, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agy-cli-agent 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 18d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/capability_profile.py, scripts/model_catalog.py, scripts/run_agent.py), 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.

plugins/cli-agents/skills/agy-cli-agent/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agy CLI Agent

Dispatch the authorized task using the bundled router.

Contents

Constraints

Reuse the user's runtime/model/effort choice; do not start an unrequested review. Use one backend; halt on failure without silent fallback. Analysis uses --isolated; it suppresses dangerous flags and adds instructions, but is not an OS sandbox. Non-isolated dispatch requires authorization and external containment where needed.

Quick start

Run from this skill root; input and output paths are supplied by the caller:

python3 scripts/run_agent.py agents/security-auditor.md <input> <output> "Review supplied source." --cli agy --isolated --require-input

Workflow

  1. Read dispatch details before selecting flags or models.
  2. Read execution rules and backend capabilities; user instructions govern authorization.
  3. Use the selected model and optional effort; inspect the resolved executable/version.
  4. Dispatch once, then check exit status, nonempty output and requested acceptance criteria.

Profile contract applies when a caller supplies a profile.

Verification

Record backend, executable/version, model, effort, scope and result. Empty or failed output is not a completed review. Log failures in Map Debt. For gated reviews, record PASS/REVISE/REJECT through the control plane; only PASS approves.

🎭 Persona Registry (agents/)

These personas are mirrored across CLI agent dispatchers to ensure consistent analytical behavior across the ecosystem.

Persona Use For
security-auditor.md Red team, vulnerability scanning, threat modeling
refactor-expert.md Optimizing code for readability, performance, and DRY
architect-review.md Assessing system design, modularity, and complexity

Read the full file on GitHub · 73 lines

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. 18d ago Changed · -146 lines · -84 tokens per session 16f94c015073
  2. 1mo ago Changed · +15 lines 3aa104e2ce19
  3. 1mo ago Changed · -4 lines 5f2ac69a9cb9
  4. 1mo ago Changed · +40 lines 43c3549fce2b
  5. 1mo ago Changed · -5 tokens per session 8b725a2090e3
  6. 1mo ago First seen · 168 lines · 130 tokens per session scan A b77d344d0b00

Subscribe to this mod's changes

agy-cli-agent is a skill published in the GitHub repository richfrem/agent-plugins-skills (7 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 665 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.