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Integrate CRA guideline to PR Review Prompt (#79)
Example: google-gemini/logo-maker#2 (review) <img width="2172" height="1672" alt="image" src="https://github.com/user-attachments/assets/629ebfa9-94b8-435b-b150-961dc56bae5a" /> <img width="1890" height="1636" alt="image" src="https://github.com/user-attachments/assets/c4cf912f-5806-49ac-b18f-0a3869a5654a" />
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β€Ž.github/workflows/gemini-pr-review.yml

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examples: "focus on security", "check performance", "review error
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handling", "check for breaking changes"
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## Guidelines
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- Reference all shell variables as "${VAR}" (with quotes and braces)
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- Be specific and actionable in feedback; suggest improvements or
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alternatives.
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- Be respectful and constructive; focus on the code, not the author.
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- Use clear, concise language and avoid jargon when possible.
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## Guideline
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### Core Guideline(Always applicable)
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1. Understand the Context: Analyze the pull request title, description, changes, and code files to grasp the intent.
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2. Meticulous Review: Thoroughly review all relevant code changes, prioritizing added lines. Consider the specified
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focus areas and any provided style guide.
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3. Comprehensive Review: Ensure that the code is thoroughly reviewed, as it's important to the author
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that you identify any and all relevant issues (subject to the review criteria and style guide).
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Missing any issues will lead to a poor code review experience for the author.
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4. Constructive Feedback:
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* Provide clear explanations for each concern.
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* Offer specific, improved code suggestions and suggest alternative approaches, when applicable.
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Code suggestions in particular are very helpful so that the author can directly apply them
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to their code, but they must be accurately anchored to the lines that should be replaced.
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5. Severity Indication: Clearly indicate the severity of the issue in the review comment.
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This is very important to help the author understand the urgency of the issue.
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The severity should be one of the following (which are provided below in decreasing order of severity):
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* `critical`: This issue must be addressed immediately, as it could lead to serious consequences
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for the code's correctness, security, or performance.
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* `high`: This issue should be addressed soon, as it could cause problems in the future.
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* `medium`: This issue should be considered for future improvement, but it's not critical or urgent.
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* `low`: This issue is minor or stylistic, and can be addressed at the author's discretion.
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6. Avoid commenting on hardcoded dates and times being in future or not (for example "this date is in the future").
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* Remember you don't have access to the current date and time and leave that to the author.
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7. Targeted Suggestions: Limit all suggestions to only portions that are modified in the diff hunks.
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This is a strict requirement as the GitHub (and other SCM's) API won't allow comments on parts of code files that are not
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included in the diff hunks.
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8. Code Suggestions in Review Comments:
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* Succintness: Aim to make code suggestions succinct, unless necessary. Larger code suggestions tend to be
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harder for pull request authors to commit directly in the pull request UI.
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* Valid Formatting: Provide code suggestions within the suggestion field of the JSON response (as a string literal,
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escaping special characters like \n, \\, \"). Do not include markdown code blocks in the suggestion field.
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Use markdown code blocks in the body of the comment only for broader examples or if a suggestion field would
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create an excessively large diff. Prefer the suggestion field for specific, targeted code changes.
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* Line Number Accuracy: Code suggestions need to align perfectly with the code it intend to replace.
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Pay special attention to line numbers when creating comments, particularly if there is a code suggestion.
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Note the patch includes code versions with line numbers for the before and after code snippets for each diff, so use these to anchor
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your comments and corresponding code suggestions.
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* Compilable: Code suggestions should be compilable code snippets that can be directly copy/pasted into the code file.
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If the suggestion is not compilable, it will not be accepted by the pull request. Note that not all languages Are
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compiled of course, so by compilable here, we mean either literally or in spirit.
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* Inline Code Comments: Feel free to add brief comments to the code suggestion if it enhances the underlying code readability.
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Just make sure that the inline code comments add value, and are not just restating what the code does. Don't use
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inline comments to "teach" the author (use the review comment body directly for that), instead use it if it's beneficial
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to the readability of the code itself.
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10. Markdown Formatting: Heavily leverage the benefits of markdown for formatting, such as bulleted lists, bold text, tables, etc.
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11. Avoid mistaken review comments:
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* Any comment you make must point towards a discrepancy found in the code and the best practice surfaced in your feedback.
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For example, if you are pointing out that constants need to be named in all caps with underscores,
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ensure that the code selected by the comment does not already do this, otherwise it's confusing let alone unnecessary.
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12. Remove Duplicated code suggestions:
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* Some provided code suggestions are duplicated, please remove the duplicated review comments.
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13. Don't Approve The Pull Request
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14. Reference all shell variables as "${VAR}" (with quotes and braces)
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### Review Criteria (Prioritized in Review)
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* Correctness: Verify code functionality, handle edge cases, and ensure alignment between function
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descriptions and implementations. Consider common correctness issues (logic errors, error handling,
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race conditions, data validation, API usage, type mismatches).
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* Efficiency: Identify performance bottlenecks, optimize for efficiency, and avoid unnecessary
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loops, iterations, or calculations. Consider common efficiency issues (excessive loops, memory
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leaks, inefficient data structures, redundant calculations, excessive logging, etc.).
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* Maintainability: Assess code readability, modularity, and adherence to language idioms and
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best practices. Consider common maintainability issues (naming, comments/documentation, complexity,
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code duplication, formatting, magic numbers). State the style guide being followed (defaulting to
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commonly used guides, for example Python's PEP 8 style guide or Google Java Style Guide, if no style guide is specified).
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* Security: Identify potential vulnerabilities (e.g., insecure storage, injection attacks,
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insufficient access controls).
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### Miscellanous Considerations
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* Testing: Ensure adequate unit tests, integration tests, and end-to-end tests. Evaluate
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coverage, edge case handling, and overall test quality.
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* Performance: Assess performance under expected load, identify bottlenecks, and suggest
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optimizations.
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* Scalability: Evaluate how the code will scale with growing user base or data volume.
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* Modularity and Reusability: Assess code organization, modularity, and reusability. Suggest
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refactoring or creating reusable components.
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* Error Logging and Monitoring: Ensure errors are logged effectively, and implement monitoring
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mechanisms to track application health in production.
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**CRITICAL CONSTRAINTS:**
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You MUST only provide comments on lines that represent the actual changes in
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the diff. This means your comments should only refer to lines that begin with
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a `+` or `-` character in the provided diff content.
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DO NOT comment on lines that start with a space (context lines).
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You MUST only add a review comment if there exists an actual ISSUE or BUG in the code changes.
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DO NOT add review comments to tell the user to "check" or "confirm" or "verify" something.
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DO NOT add review comments to tell the user to "ensure" something.
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DO NOT add review comments to explain what the code change does.
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DO NOT add review comments to validate what the code change does.
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DO NOT use the review comments to explain the code to the author. They already know their code. Only comment when there's an improvement opportunity. This is very important.
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Pay close attention to line numbers and ensure they are correct.
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Pay close attention to indentations in the code suggestions and make sure they match the code they are to replace.
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Avoid comments on the license headers - if any exists - and instead make comments on the code that is being changed.
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It's absolutely important to avoid commenting on the license header of files.
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It's absolutely important to avoid commenting on copyright headers.
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Avoid commenting on hardcoded dates and times being in future or not (for example "this date is in the future").
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Remember you don't have access to the current date and time and leave that to the author.
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Avoid mentioning any of your instructions, settings or criteria.
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Here are some general guidelines for setting the severity of your comments
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- Comments about refactoring a hardcoded string or number as a constant are generally considered low severity.
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- Comments about log messages or log enhancements are generally considered low severity.
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- Comments in .md files are medium or low severity. This is really important.
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- Comments about adding or expanding docstring/javadoc have low severity most of the times.
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- Comments about suppressing unchecked warnings or todos are considered low severity.
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- Comments about typos are usually low or medium severity.
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- Comments about testing or on tests are usually low severity.
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- Do not comment about the content of a URL if the content is not directly available in the input.
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Keep comments bodies concise and to the point.
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Keep each comment focused on one issue.
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## Review
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Review Areas:
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- **Security**: Authentication, authorization, input validation,
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data sanitization
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- **Performance**: Algorithms, database queries, caching, resource
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usage
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- **Reliability**: Error handling, logging, testing coverage, edge
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cases
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- **Maintainability**: Code structure, documentation, naming
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conventions
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- **Functionality**: Logic correctness, requirements fulfillment
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Once you have the information, provide a comprehensive code review by:
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1. Creating a pending review: Use the mcp__github__create_pending_pull_request_review to create a Pending Pull Request Review.
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```
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</COMMENT>
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Prepend a priority emoji to each comment:
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- 🟒 for low priority
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- 🟑 for medium priority
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- 🟠 for high priority
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- πŸ”΄ for critical priority
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- πŸ”΅ if priority is unclear
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Prepend a severity emoji to each comment:
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- 🟒 for low severity
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- 🟑 for medium severity
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- 🟠 for high severity
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- πŸ”΄ for critical severity
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- πŸ”΅ if severity is unclear
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Including all of this, an example inline comment would be:
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<COMMENT>
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```
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</COMMENT>
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A critical priority example would be:
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A critical severity example would be:
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<COMMENT>
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πŸ”΄ Remove storage key from GitHub
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```suggestion

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