gpt-review
Launch a GPT 5.6 Sol Max subagent to do a deep, neutral senior-developer review of the current work and report its findings back verbatim.
Skill by tattooinmtl
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/gpt-review
What's inside
- Skill name
gpt-review- Description
- Launch a GPT 5.6 Sol Max subagent to do a deep, neutral senior-developer review of the current work and report its findings back verbatim. Use when the user says "/gpt-review", "gpt review", or asks for GPT to review the code. Differentiator: reviewer model is GPT 5.6 Sol Max — for a Fable reviewer use fable-review.
- License
- MIT
- Instructions
- 15 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# GPT Review Launch a GPT 5.6 Sol Max subagent to review everything fully and carefully, as if it was a senior developer reviewing the work of a junior. Give it the necessary context, but make sure to stay neutral and unbiased. Do not nudge it towards any one specific solution. The goal here is to do great work. So be as objective and neutral as possible in writing the prompt for the subagent. Tell him what to review, but don't be overly specific — let him find his own bugs and shortcomings. Just tell him to work extremely hard, to go deep in the review, and to surface any critical or serious issues found in the review. And when the subagent finishes, show the user his exact response in full. Do not rewrite it. Do not update it. Again, the goal here is to write great software. It's to build amazing software, and in order to do that you need to let the subagent do its work: tell it what to review in a broad way, be as unbiased as possible, don't influence it in any way, and tell it to output a detailed report — telling us whether the code is good and safe to be merged into production, or whether there are any serious or critical issues with it, and if so, how to fix them. Also tell him to make the final report concise, written in plain English.
From tattooinmtl/omni, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 19, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/tattooinmtl/omni
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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gpt-review skill. Agent Mart. https://agentmart.dev/skills/tattooinmtl-gpt-review (last updated 2026-10-24)