PR Review
pytorch/pytorch
Review PyTorch pull requests for code quality, test coverage, security, and backward compatibility.
Review ONNX Runtime pull requests, branches, commits, patches, and working-tree changes for actionable findings and missing tests.
Install Code Review
$ npx skills add microsoft/onnxruntime --skill code-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install microsoft/onnxruntime code-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/code-review .claude/skills/code-review && rm -rf skills-srcUse ~/.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/
Install the "code-review" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/code-review into .claude/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/microsoft/onnxruntime/tree/main/.github/skills/code-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add microsoft/onnxruntime --skill code-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install microsoft/onnxruntime code-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/code-review .agents/skills/code-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "code-review" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/code-review into .agents/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microsoft/onnxruntime --skill code-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install microsoft/onnxruntime code-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/code-review .cursor/skills/code-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "code-review" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/code-review into .cursor/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/microsoft/onnxruntime.git --path .github/skills/code-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add microsoft/onnxruntime --skill code-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install microsoft/onnxruntime code-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/code-review .gemini/skills/code-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "code-review" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/code-review into .gemini/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install microsoft/onnxruntime code-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add microsoft/onnxruntime --skill code-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/code-review .github/skills/code-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "code-review" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/code-review into .github/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microsoft/onnxruntime --skill code-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install microsoft/onnxruntime code-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/code-review .opencode/skills/code-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "code-review" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/code-review into .opencode/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
code-review- GitHub stars
- 22k
- Token cost
- ~486 tokens
- SKILL.md length
- 243 words
- Files
- 1
- Skills in repo
- 14
- Repo updated
- First seen
- Licence
- MIT
At a glance
Review ONNX Runtime pull requests, branches, commits, patches, and working-tree changes for actionable findings and missing tests.
- Works in 3 steps: Establish the review scope → Analyze changed behavior → Report findings
- Tasks that involve Code review
- SKILL.md covers 1. Establish the review scope, 2. Analyze changed behavior and 3. Report findings
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Code Review is an agent skill from microsoft/onnxruntime, published by the product's own GitHub organization. Review ONNX Runtime pull requests, branches, commits, patches, and working-tree changes for actionable findings and missing tests.
Its SKILL.md is about 490 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Code review, Deep learning and Pull requests. It works with ONNX. The repository describes itself as: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator. The licence is MIT.
When your agent uses it
- Tasks that involve Code review
- Tasks that involve Deep learning
- Tasks that involve Pull requests
Example prompts
- “/code-review”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 8420709. 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
Code Review loads about 486 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 243 words of instructions outside code blocks.
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 microsoft/onnxruntime at commit 8420709, republished under its MIT licence (© microsoft). 243 words, ~486 tokens.
Download SKILL.mdSave it as
.claude/skills/code-review/SKILL.md (or your agent's skills folder).- name
- code-review
- description
- Review ONNX Runtime pull requests, branches, commits, patches, and working-tree changes for actionable findings and missing tests.
Reviewing ONNX Runtime Code Changes
Use this workflow for code review.
1. Establish the review scope
Determine the review base before analyzing the change. Identify the exact commits or working-tree state being reviewed, then enumerate all changed files.
If no changed files are found, respond with: "No changes detected. Please specify a commit range, branch, or patch to review."
Read every .github/instructions/**/*.instructions.md file whose applyTo scope matches a changed path. Also load each
domain skill whose description matches the changed subsystem or behavior.
If no instructions file or domain skill matches a changed path, proceed using general ONNX Runtime and language-specific conventions.
2. Analyze changed behavior
Review the diff in context, including controlling code, relevant callers, and affected tests. Trace inputs through the changed behavior to externally visible results or failure modes.
Distinguish defects introduced by the change from pre-existing issues.
Ensure coverage of all the following:
- correctness and security;
- ABI and API compatibility;
- memory safety and concurrency;
- portability across supported platforms and configurations;
- missing tests for behavior changed by the diff.
Also report actionable clarity and maintainability concerns, even when they are not correctness defects.
Do not report formatting issues already enforced by repository tooling.
3. Report findings
Report each actionable finding separately, using an inline comment when supported. Each finding must include:
- the file and line where the finding applies;
- concrete evidence or a triggering scenario;
- the resulting impact;
- an actionable correction.
If no actionable findings are found, say so explicitly.
© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .github/skills/code-review of microsoft/onnxruntime.
Open the folder on GitHubat commit 8420709
Compare with similar skills
Code 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Code Review this skillmicrosoft/onnxruntime | 22k | — | ~486 | Automated safety check: Pass | MIT | |
| PR Reviewpytorch/pytorch | 104k | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Code Reviewnstarman/quax | 143 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Understand Diff AnalysisEgonex-AI/Understand-Anything | 85k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| WooCommerce Code Reviewwoocommerce/woocommerce | 11k | 3 repos | ~1.1k | Automated safety check: Pass | Custom licence |
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Related
Works with
Categories
Questions about Code Review
What does Code Review do?
Review ONNX Runtime pull requests, branches, commits, patches, and working-tree changes for actionable findings and missing tests. Code Review is an agent skill from microsoft/onnxruntime, published by the product's own GitHub organization. Review ONNX Runtime pull requests, branches, commits, patches, and working-tree changes for actionable findings and missing tests.
When should I use Code Review?
Code Review fits situations like: tasks that involve Code review; tasks that involve Deep learning; tasks that involve Pull requests.
How do I install Code Review in Claude Code?
Run `npx skills add microsoft/onnxruntime --skill code-review -a claude-code`. Or copy the skill folder (.github/skills/code-review in microsoft/onnxruntime) into .claude/skills/code-review in your project. Claude Code loads it when a task matches its description.
How do I install Code Review in Codex?
Run `npx skills add microsoft/onnxruntime --skill code-review -a codex`. Or copy the skill folder (.github/skills/code-review in microsoft/onnxruntime) into .agents/skills/code-review in your project. Codex loads it when a task matches its description.
Can I use Code 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 microsoft/onnxruntime --skill code-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/code-review, .gemini/skills/code-review, .github/skills/code-review and .opencode/skills/code-review in your project.
What does Code Review need to run?
SKILL.md names no scripts, command-line tools or credentials: Code Review is instructions for the agent only.
Does Code 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 Code 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 Code Review use?
Code 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 Code Review use?
About 486 tokens (SKILL.md is roughly 1.9k 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 Code Review?
Skills that share tags, products or a category with Code Review: PR Review (pytorch/pytorch, 104k stars), Code Review (nstarman/quax, 143 stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars) and Understand Diff Analysis (Egonex-AI/Understand-Anything, 85k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Code Review?
microsoft (a GitHub organization, an official publisher) maintains it in microsoft/onnxruntime, which has 22,029 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 7, 2026.
Source: microsoft/onnxruntime on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.