Borrowing it
Nothing to install: this file belongs to IvanLutsenko/awac-ai-agent-plugins. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/IvanLutsenko/awac-ai-agent-plugins/main/.claude/commands/gemini-review.mdgit clone --depth 1 https://github.com/IvanLutsenko/awac-ai-agent-pluginsWrote 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.
[](https://agentmods.dev/commands/ivanlutsenko/awac-ai-agent-plugins/gemini-review)<a href="https://agentmods.dev/commands/ivanlutsenko/awac-ai-agent-plugins/gemini-review"><img src="https://agentmods.dev/badge/commands/ivanlutsenko/awac-ai-agent-plugins/gemini-review.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.02339 |
| Opus 5 | $0.00000 | $0.01170 |
| Sonnet 5 | $0.00000 | $0.00468 |
| Haiku 4.5 | $0.00000 | $0.00234 |
Grade A, and why
gemini-review 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 6d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini PR Review Automation
Why This Command Exists
The Problem: Gemini Code Assist provides free, automated PR reviews on GitHub. But AI-generated reviews often get ignored because they lack the urgency of human feedback.
The Pain Point: Manually asking Claude Code to:
- "Analyze PR #42's Gemini review"
- "Prioritize the issues"
- "Create a TodoList"
- "Start working on them"
...gets tedious fast.
The Solution: One command that automatically fetches Gemini's review, analyzes severity, creates prioritized TodoLists, and optionally starts execution.
What Makes This Different
| Code Analysis | Code Improvement | Gemini Review | |
|---|---|---|---|
| Trigger | When you want analysis | When you want improvements | When Gemini already reviewed |
| Input | Local codebase | Local codebase | GitHub PR's Gemini comments |
| Purpose | General analysis | General improvements | Convert AI review → actionable TODOs |
| Output | Analysis report | Applied improvements | TodoList + Priority + Execution |
Triggers
- PR has Gemini Code Assist review comments waiting to be addressed
- Need to convert AI feedback into structured action items
- Want to systematically process automated review feedback
- Reduce manual context switching between GitHub and development
Usage
/gemini-review [pr-number] [--analyze-only] [--preview] [--priority high|medium|low]
Behavioral Flow
- Fetch: Retrieve PR details and Gemini review comments using GitHub CLI
- Analyze: Parse and categorize review comments by type and severity
- Prioritize: Assess each comment for refactoring necessity and impact
- TodoList: Generate structured TodoList with priority ordering
- Execute: (Optional) Start working on high-priority items with user confirmation
Key behaviors:
- Intelligent comment categorization (critical, improvement, suggestion, style)
- Impact assessment for each review item with effort estimation
- Automatic TodoList creation with priority matrix (must-fix, should-fix, nice-to-have)
- Code location mapping and dependency analysis
- Implementation strategy with phased approach
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.
- 6d ago First seen · 294 lines · 0 tokens per session scan A dd7619048e4f
gemini-review is a command published in the GitHub repository IvanLutsenko/awac-ai-agent-plugins (2 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,339 tokens. 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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poc
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rfc
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discover
Run a full product discovery cycle — from outcome definition through opportunity mapping, prioritisation, and experiment design. Use when the team isn't sure what to build next, or before writing a PRD for a complex feature space.
migrate
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