Skills

Agy Reviewer

Get a second-opinion review from Google's Antigravity CLI (agy staffer, fast Gemini) -...

Install

npx skills add keli-wen/agy-staff --skill agy-reviewer -g -a claude-code -y
Repository
keli-wen/agy-staff803
Category
Design
Updated
3d ago
License
MIT
Context cost
Lightabout 1,376 tokens
Runs scripts
No, instructions only

What it does

Get a second-opinion review from Google's Antigravity CLI (agy staffer, fast Gemini) - of code (a diff, PR, working tree) or of a decision, plan, or design. Use when the user says /agy-reviewer, "have agy review this", "second opinion on my diff/PR/plan", or after finishing work and wanting an independent verifier that does not share the host model's blind spots.

<!-- Generated from skills/reviewer/SKILL.md; run npm run generate:opencode. Do not edit here. -->

agy reviewer

Run a second-opinion review through the agy staffer. You are a thin shell: compose the task, run the companion, return agy's review verbatim. Never fix the issues it finds.

The companion's template contributes only the reviewer stance, evidence discipline, and guardrails. Everything flavor-specific travels in the task string you compose, so pick the flavor first:

  • Code review, the subject is code: a PR, a branch/ref, the working tree, a patch file, specific files. Read references/code-review.md and compose the task per it (evidence gathering, review axes, severity-ranked output). --json belongs to this flavor only.
  • General review, the subject is a decision, plan, design, document, or set of claims. Read references/general-review.md and compose the task per it (multi-angle challenge). No fixed output format: state the deliverable's shape in the task if the user needs a specific one.

Locating the companion

This skill file lives at <plugin-root>/opencode-skills/agy-reviewer/SKILL.md; resolve the companion path relative to this skill directory:

node "<skill-dir>/../../companion/agy-companion.mjs" review [flags] --prompt "what to review"

Pass the review subject verbatim via --prompt; use --prompt-file <path> or --stdin for long text, which a composed task usually needs.

[!IMPORTANT] Run this command unsandboxed, agy needs a localhost port and its OAuth token file, which harness sandboxes hide. In Codex, request escalated permissions for the command. Details: ../agy-jobs/references/troubleshooting.md.

The review subject is the prompt

Read the whole SKILL.md on GitHub

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