New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Gpt Review

by davidondrej in davidondrej/skills

Launch an independent GPT code review and return it verbatim.

MITAuto-check passedDevelopment

Install Gpt Review

skills CLI
$ npx skills add davidondrej/skills --skill gpt-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install davidondrej/skills gpt-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/davidondrej/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-orchestration/gpt-review .claude/skills/gpt-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
gpt-review
GitHub stars
4.1k
Token cost
~394 tokens
SKILL.md length
183 words
Files
2
Skills in repo
51
Repo updated
First seen
Licence
MIT

At a glance

Launch an independent GPT code review and return it verbatim.

  • Explicitly invokes /gpt-review
  • SKILL.md covers Run, Review brief and Result
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Gpt Review is an agent skill from davidondrej/skills. Launch an independent GPT code review and return it verbatim. Use only when the user explicitly invokes /gpt-review.

Its SKILL.md is about 390 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Development. The repository describes itself as: access to david ondrej's personal agent skills. The licence is MIT.

When your agent uses it

  • Explicitly invokes /gpt-review

Example prompts

  • “/gpt-review”

What it can do on your machine

Read from SKILL.md and the folder at commit 7874889. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Gpt Review loads about 394 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 183 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~394

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from davidondrej/skills at commit 7874889, republished under its MIT licence (© davidondrej). 183 words, ~394 tokens.

Download SKILL.mdSave it as .claude/skills/gpt-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
gpt-review
description
Launch an independent GPT code review and return it verbatim. Use only when the user explicitly invokes /gpt-review.
disable-model-invocation
true
triggers
user, model

GPT Review

Use GPT-6 Astra Extra High through Codex, orchestrated by the configured review harness.

Run

Read the configured review harness instructions and follow its launch checks. Discover provider/model/effort IDs rather than guessing. Reuse the current environment, including uncommitted work, and use the harness's documented coordination options when coordinating.

If the user names another harness, read its skill and use it with the same model, effort, workspace, brief, and output requirements. Report unavailable model/effort as blockers; never silently downgrade.

Review brief

Give neutral context: scope, paths, intended behavior, and diff/base revision. Ask for a thorough senior-developer review, including related code and tests, without steering toward suspected bugs, solutions, or verdicts. Review only; do not change files. Request a concise plain-English report of serious or critical issues, fixes, and production merge readiness. Distinguish verified findings from uncertainty and identify validation gaps.

Result

Use the selected harness's documented wait and output mechanisms. Verify this review actually completed; idle status, timeouts, and queued retries are not completion. Report blockers rather than presenting partial output as a finished review.

Return the completed reviewer's full final response verbatim.

© davidondrej, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/agent-orchestration/gpt-review of davidondrej/skills.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 7874889

Compare with similar skills

Gpt Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Gpt Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Gpt Review this skilldavidondrej/skills4.1k—~394Automated safety check: PassMIT
Trellis Session Insightmindfold-ai/Trellis15k4 repos~1.7kAutomated safety check: PassAGPL-3.0
Warp Factory Fileswarpdotdev/warp65k1 repos~2.5kAutomated safety check: PassAGPL-3.0
Migrate Core Code to Submodulestinyhumansai/openhuman42k—~2.6kAutomated safety check: PassGPL-3.0
Analyze Logsactivepieces/activepieces25k1 repos~1.6kAutomated safety check: PassMIT
GitHub Review Iterationprisma/orm48k—~2.2kAutomated safety check: PassApache-2.0

Similar skills

  • Trellis Session Insight

    mindfold-ai/Trellis

    Reach into past AI conversation history through the trellis mem CLI.

    15k GitHub starsUsed in 4 repos~1.7k tokens
    DevelopmentAuto-check passed

  • Warp Factory Files

    warpdotdev/warp

    Authors and edits file-based Warp software factory definitions rooted at factory.yaml, covering agents, automations, scorers and webhooks, and validates them before a pull request.

    65k GitHub starsUsed in 1 repo~2.5k tokens
    DevelopmentAuto-check passed

  • Migrate Core Code to Submodules

    tinyhumansai/openhuman

    Plans and carries out moving non-host-specific code and its tests from the OpenHuman core into vendored tiny submodule libraries, then releases the submodule and re-pins the host.

    42k GitHub stars~2.6k tokensUpdated today
    DevelopmentAuto-check passed

  • Analyze Logs

    activepieces/activepieces

    Analyze application logs from the .evlog/logs/ directory. An agent skill from activepieces/activepieces.

    25k GitHub starsUsed in 1 repo~1.6k tokens
    DevelopmentAuto-check passed

  • GitHub Review Iteration

    prisma/orm

    Official

    Runs a loop on a GitHub pull request: fetch review state, triage comments into actions, implement them and resolve threads, repeating until nothing actionable is left.

    48k GitHub stars~2.2k tokensUpdated yesterday
    DevelopmentAuto-check passed

  • Release

    PrefectHQ/fastmcp

    Cut a FastMCP release end to end. An agent skill from PrefectHQ/fastmcp.

    28k GitHub stars~2.9k tokensUpdated yesterday
    DevelopmentAuto-check passed

More from davidondrej/skills

All 51 skills in this repo

  • Nagent

    davidondrej/skills

    Launch a new bb worker thread with the right project, model, worktree, and task brief.

    4.1k GitHub stars~1.7k tokensUpdated today
    Auto-check: notes

  • Browser Harness

    davidondrej/skills

    Direct browser control via CDP. An agent skill from davidondrej/skills.

    4.1k GitHub starsUsed in 2 repos~3k tokens
    Auto-check passed

  • Persistent Localhost

    davidondrej/skills

    Manage persistent dev servers, APIs, and other local processes on a port using macOS LaunchAgents.

    4.1k GitHub stars~618 tokensUpdated today
    Auto-check passed

  • Reset Cursor Acp

    davidondrej/skills

    Reset a stuck Cursor ACP thread in <chat-system and reload its configuration.

    4.1k GitHub stars~728 tokensUpdated today
    Auto-check passed

  • Anti Sleep

    davidondrej/skills

    Keep a Mac awake for a set duration or while a process runs.

    4.1k GitHub stars~640 tokensUpdated today
    Auto-check: warnings

  • Bb CLI

    davidondrej/skills

    Use this when controlling bb. An agent skill from davidondrej/skills.

    4.1k GitHub stars~823 tokensUpdated today
    Auto-check passed

Categories

Questions about Gpt Review

What does Gpt Review do?

Launch an independent GPT code review and return it verbatim. Gpt Review is an agent skill from davidondrej/skills. Launch an independent GPT code review and return it verbatim.

When should I use Gpt Review?

Gpt Review fits situations like: explicitly invokes /gpt-review.

How do I install Gpt Review in Claude Code?

Run `npx skills add davidondrej/skills --skill gpt-review -a claude-code`. Or copy the skill folder (skills/agent-orchestration/gpt-review in davidondrej/skills) into .claude/skills/gpt-review in your project. Claude Code loads it when a task matches its description.

How do I install Gpt Review in Codex?

Run `npx skills add davidondrej/skills --skill gpt-review -a codex`. Or copy the skill folder (skills/agent-orchestration/gpt-review in davidondrej/skills) into .agents/skills/gpt-review in your project. Codex loads it when a task matches its description.

Can I use Gpt Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add davidondrej/skills --skill gpt-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gpt-review, .gemini/skills/gpt-review, .github/skills/gpt-review and .opencode/skills/gpt-review in your project.

What does Gpt Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Gpt Review is instructions for the agent only.

Does Gpt Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Gpt Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Gpt Review use?

Gpt Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Gpt Review use?

About 394 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Gpt Review?

Skills that share tags, products or a category with Gpt Review: Trellis Session Insight (mindfold-ai/Trellis, 15k stars), Warp Factory Files (warpdotdev/warp, 65k stars), Migrate Core Code to Submodules (tinyhumansai/openhuman, 42k stars) and Analyze Logs (activepieces/activepieces, 25k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Gpt Review?

davidondrej (a GitHub user) maintains it in davidondrej/skills, which has 4,112 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on October 8, 2026.

Source: davidondrej/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.