MAUI PR Performance Analysis
dotnet/maui
Interprets pinned managed benchmark evidence for a dotnet/maui pull request and writes a narrative for the performance review workflow, without running or publishing anything.
Perform a review on a GitHub PR, leaving comments on the PR. An agent skill from DataDog/dd-trace-dotnet.
Install Review PR
$ npx skills add DataDog/dd-trace-dotnet --skill review-pr -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DataDog/dd-trace-dotnet review-pr --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/DataDog/dd-trace-dotnet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/review-pr .claude/skills/review-pr && 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 "review-pr" agent skill from https://github.com/DataDog/dd-trace-dotnet/tree/master/.claude/skills/review-pr into .claude/skills/review-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-pr", 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/DataDog/dd-trace-dotnet/tree/master/.claude/skills/review-prType 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 DataDog/dd-trace-dotnet --skill review-pr -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DataDog/dd-trace-dotnet review-pr --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/dd-trace-dotnet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/review-pr .agents/skills/review-pr && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "review-pr" agent skill from https://github.com/DataDog/dd-trace-dotnet/tree/master/.claude/skills/review-pr into .agents/skills/review-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-pr", 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 DataDog/dd-trace-dotnet --skill review-pr -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DataDog/dd-trace-dotnet review-pr --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/dd-trace-dotnet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/review-pr .cursor/skills/review-pr && 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 "review-pr" agent skill from https://github.com/DataDog/dd-trace-dotnet/tree/master/.claude/skills/review-pr into .cursor/skills/review-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-pr", 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/DataDog/dd-trace-dotnet.git --path .claude/skills/review-pr--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 DataDog/dd-trace-dotnet --skill review-pr -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DataDog/dd-trace-dotnet review-pr --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/dd-trace-dotnet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/review-pr .gemini/skills/review-pr && 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 "review-pr" agent skill from https://github.com/DataDog/dd-trace-dotnet/tree/master/.claude/skills/review-pr into .gemini/skills/review-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-pr", 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 DataDog/dd-trace-dotnet review-prInstalls 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 DataDog/dd-trace-dotnet --skill review-pr -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/DataDog/dd-trace-dotnet.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/review-pr .github/skills/review-pr && 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 "review-pr" agent skill from https://github.com/DataDog/dd-trace-dotnet/tree/master/.claude/skills/review-pr into .github/skills/review-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-pr", 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 DataDog/dd-trace-dotnet --skill review-pr -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install DataDog/dd-trace-dotnet review-pr --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/dd-trace-dotnet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/review-pr .opencode/skills/review-pr && 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 "review-pr" agent skill from https://github.com/DataDog/dd-trace-dotnet/tree/master/.claude/skills/review-pr into .opencode/skills/review-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-pr", 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
review-pr- GitHub stars
- 573
- Token cost
- ~788 tokens
- SKILL.md length
- 416 words
- Files
- 1
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Perform a review on a GitHub PR, leaving comments on the PR. An agent skill from DataDog/dd-trace-dotnet.
- Works in 2 steps: Ensure the gh CLI tool is installed. → Verify the gh tool is authenticated by…
- Tasks that involve Pull requests
- Calls gh
What it does
Review PR is an agent skill from DataDog/dd-trace-dotnet, published by the product's own GitHub organization. Perform a review on a GitHub PR, leaving comments on the PR
Its SKILL.md is about 790 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 Pull requests. It works with GitHub, Datadog and .NET. The repository describes itself as: .NET Client Library for Datadog APM. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Pull requests
Example prompts
- “/review-pr”
Requirements
- Pre-approved tools (allowed-tools): Bash(gh pr view:*), Bash(gh pr diff:*), Bash(gh pr comment:*), Bash(gh --version), Bash(gh auth status)
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Ensure the gh CLI tool is installed.
- Verify the gh tool is authenticated by running gh auth status and confirming the user is logged in
What it can do on your machine
Read from SKILL.md and the folder at commit 512b980. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash(gh pr view:*)Bash(gh pr diff:*)Bash(gh pr comment:*)Bash(gh --version)Bash(gh auth status)
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
gh
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
cli.github.com
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
Review PR loads about 788 tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 416 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 DataDog/dd-trace-dotnet at commit 512b980, republished under its Apache-2.0 licence (© DataDog). 416 words, ~788 tokens.
Download SKILL.mdSave it as
.claude/skills/review-pr/SKILL.md (or your agent's skills folder).- name
- review-pr
- description
- Perform a review on a GitHub PR, leaving comments on the PR
- allowed-tools
- Bash(gh pr view:*), Bash(gh pr diff:*), Bash(gh pr comment:*), Bash(gh --version), Bash(gh auth status)
- argument-hint
- <pr-number-or-url>
- disable-model-invocation
- true
- context
- fork
- agent
- general-purpose
Review GitHub PR
You are an expert code reviewer. Review this PR and post your findings to GitHub: $ARGUMENTS
Prerequisites:
- Ensure the
ghCLI tool is installed.- If not, prompt the user to install it by printing "GitHub CLI is required, please install it from https://cli.github.com/" and then stop any further processing or commands.
- Don't attempt to install the CLI tool yourself
- Verify the
ghtool is authenticated by runninggh auth statusand confirming the user is logged in- If the user is not logged in, ask them to login in a separate window by running
gh auth login. - Wait for the user to confirm they are logged in, and retry
- If the user is not logged in, ask them to login in a separate window by running
To perform the review, follow these steps:
If $1 is a number use that as the PR number and assume owner=DataDog, and repo=dd-trace-dotnet. Otherwise, verify $1 is a github URL for this repo (it starts https://github.com/DataDog/dd-trace-dotnet), and extract the PR number
Run
gh pr view <number> --repo {owner}/{repo} --json title,body,headRefOid,author,filesto get PR detailsRun
gh pr diff <number> --repo {owner}/{repo}to get the full diffAnalyze the changes thoroughly, identifying:
- Specific issues with file paths and line numbers
- Potential bugs or risks
- Code quality concerns
- Performance implications
- Security considerations
Post your review to GitHub in TWO parts:
Part A: Inline File Comments
- For each specific issue you found, create a GitHub API call
- Use the format:
gh api -X POST -H "Accept: application/vnd.github+json" "repos/{owner}/{repo}/pulls/{pull_number}/comments" -f body="Your file-level comment" -f path="path/to/file" -F line=<line_number> -f side="RIGHT" -f commit_id="<commit_sha>"- The commit_sha should be the head commit SHA from the PR (use headRefOid from the PR details JSON)
- Each comment should:
- Reference the specific file and line number
- Explain the issue clearly
- Provide a concrete suggestion or fix
- Be constructive and actionable
- Add suffix to each: "🤖 Claude Code"
Part B: Brief Summary Comment
- Use
gh pr comment <number> --repo {owner}/{repo} --body "..."to post a brief summary (1-2 paragraphs max) - Include: overall assessment, key findings. Don't provide a recommendation on approve/request changes/comment.
- Add suffix: "Review by 🤖 Claude Code"
Show full SKILL.md (73 more words)Show less
IMPORTANT:
- Focus on specific, actionable issues - not general praise
- Every issue must have a file path and line number
- Use the line number from the new version of the file (i.e., the line number you'd see if you opened the file after the PR is merged), which corresponds to the line parameter in the GitHub API.
- Post inline comments using the
gh apicall - Keep the summary brief; put details in inline comments
© DataDog, Apache-2.0. 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 .claude/skills/review-pr of DataDog/dd-trace-dotnet.
Open the folder on GitHubat commit 512b980
Compare with similar skills
Review PR 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 |
|---|---|---|---|---|---|---|
| Review PR this skillDataDog/dd-trace-dotnet | 573 | — | ~788 | Automated safety check: Pass | Apache-2.0 | |
| MAUI PR Performance Analysisdotnet/maui | 23k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Code Reviewjonathanpeppers/dotnes | 780 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Gh Stackdotnet/macios | 2.9k | 3 repos | ~10k | Automated safety check: Pass | Custom licence | |
| Find Reviewable MAUI PRsdotnet/maui | 23k | — | ~1.7k | Automated safety check: Pass | MIT | |
| .NET MAUI Code Reviewdotnet/efcore | 15k | — | ~2k | Automated safety check: Pass | MIT |
Similar skills
- Official
Code Review
jonathanpeppers/dotnes
Review dotnes pull requests against established repository rules.
- Official
Gh Stack
dotnet/macios
Manage stacked branches and pull requests with the gh-stack GitHub CLI extension.
- Official
Find Reviewable MAUI PRs
dotnet/maui
Lists open pull requests in dotnet/maui and dotnet/docs-maui that are worth reviewing next, ranked by priority labels, milestone and partner or community origin.
- Official
.NET MAUI Code Review
dotnet/efcore
Deep code-only review of a pull request or candidate patch for correctness, safety and .NET MAUI conventions, judging the code before reading the PR description.
Code Review
OpenCoreMMO/OpenCoreMMO
Review pull requests and code changes for OpenCoreMMO against the project's architecture, conventions, and style defined in AGENTS.md.
More from DataDog/dd-trace-dotnet
- Official
Bump Libdatadog
DataDog/dd-trace-dotnet
Update/bump the libdatadog native library version in dd-trace-dotnet.
- Official
Analyze Azdo Build
DataDog/dd-trace-dotnet
Analyze Azure DevOps CI build failures in dd-trace-dotnet pipeline.
- Official
Azure Functions
DataDog/dd-trace-dotnet
Dev/test workflow for tracer engineers working on the Datadog .NET tracer — build a local Datadog.AzureFunctions NuGet package, deploy it to a test Azure Function App, trigger it, and analyze…
- Official
Analyze Error
DataDog/dd-trace-dotnet
Error Stack Trace Analysis for dd-trace-dotnet. An agent skill from DataDog/dd-trace-dotnet.
- Official
Analyze Crash
DataDog/dd-trace-dotnet
Stack Trace Crash Analysis for dd-trace-dotnet. An agent skill from DataDog/dd-trace-dotnet.
Related
Categories
Questions about Review PR
What does Review PR do?
Perform a review on a GitHub PR, leaving comments on the PR. An agent skill from DataDog/dd-trace-dotnet. Review PR is an agent skill from DataDog/dd-trace-dotnet, published by the product's own GitHub organization.
When should I use Review PR?
Review PR fits situations like: tasks that involve Pull requests.
How do I install Review PR in Claude Code?
Run `npx skills add DataDog/dd-trace-dotnet --skill review-pr -a claude-code`. Or copy the skill folder (.claude/skills/review-pr in DataDog/dd-trace-dotnet) into .claude/skills/review-pr in your project. Claude Code loads it when a task matches its description.
How do I install Review PR in Codex?
Run `npx skills add DataDog/dd-trace-dotnet --skill review-pr -a codex`. Or copy the skill folder (.claude/skills/review-pr in DataDog/dd-trace-dotnet) into .agents/skills/review-pr in your project. Codex loads it when a task matches its description.
Can I use Review PR 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 DataDog/dd-trace-dotnet --skill review-pr -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-pr, .gemini/skills/review-pr, .github/skills/review-pr and .opencode/skills/review-pr in your project.
What does Review PR need to run?
Going by SKILL.md and its folder, Review PR needs the command-line tools its instructions call (gh). Its frontmatter pre-approves these tools: Bash(gh pr view:*), Bash(gh pr diff:*), Bash(gh pr comment:*), Bash(gh --version), Bash(gh auth status).
Does Review PR access the network?
SKILL.md names 1 domain. As links in the text: cli.github.com. This is read from the text; nothing was executed.
Is Review PR 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 Review PR use?
Review PR is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Review PR use?
About 788 tokens (SKILL.md is roughly 3.2k 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 Review PR?
Skills that share tags, products or a category with Review PR: MAUI PR Performance Analysis (dotnet/maui, 23k stars), Code Review (jonathanpeppers/dotnes, 780 stars), Gh Stack (dotnet/macios, 2.9k stars) and Find Reviewable MAUI PRs (dotnet/maui, 23k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Review PR?
DataDog (a GitHub organization, an official publisher) maintains it in DataDog/dd-trace-dotnet, which has 573 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 8, 2026.
Source: DataDog/dd-trace-dotnet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.