Srithreepo Fixes for Scheduled triage (#5158)
This commit is contained in:
Srinath Padmanabhan
GitHub
parent
32b1ef3779
commit
21965f986c
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@ -59,7 +59,8 @@ jobs:
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"run_shell_command(echo)",
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"run_shell_command(gh label list)",
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"run_shell_command(gh issue edit)",
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"run_shell_command(gh issue list)"
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"run_shell_command(gh issue list)",
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"run_shell_command(gh issue view)"
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],
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"telemetry": {
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"enabled": true,
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@ -68,106 +69,123 @@ jobs:
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"sandbox": false
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}
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prompt: |
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You are an issue triage assistant. Analyze the current GitHub issues apply the most appropriate existing labels. Do not remove labels titled help wanted or good first issue.
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You are an issue triage assistant. Analyze the current GitHub issues apply the most appropriate existing labels.
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Steps:
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1. Run: `gh label list --repo ${{ github.repository }} --limit 100` to get all available labels.
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2. Review the issue title, body and any comments provided in the environment variables.
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3. Ignore any existing priorities or tags on the issue. Just report your findings.
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4. Select the most relevant labels from the existing labels, focusing on kind/*, area/*, sub-area/* and priority/*. For area/* and kind/* limit yourself to only the single most applicable label in each case.
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6. Apply the selected labels to this issue using: `gh issue edit ${{ github.event.issue.number }} --repo ${{ github.repository }} --add-label "label1,label2"`
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7. For each issue please check if CLI version is present, this is usually in the output of the /about command and will look like 0.1.5
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- Anything more than 6 versions older than the most recent should add the status/need-retesting label
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8. If you see that the issue doesn’t look like it has sufficient information recommend the status/need-information label
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2. Check environment variable for issues to triage: $ISSUES_TO_TRIAGE (JSON array of issues)
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3. Review the issue title, body and any comments provided in the environment variables.
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4. Ignore any existing priorities or tags on the issue.
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5. Select the most relevant labels from the existing labels, focusing on kind/*, area/*, sub-area/* and priority/*.
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6. Get the list of labels already on the issue using `gh issue view ISSUE_NUMBER --repo ${{ github.repository }} --json labels -t '{{range .labels}}{{.name}}{{"\n"}}{{end}}'
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7. For area/* and kind/* limit yourself to only the single most applicable label in each case.
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8. Give me a single short paragraph about why you are selecting each label in the process. use the format Issue ID: , Title, Label applied:, Label removed, ovearll explanation
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9. Parse the JSON array from step 2 and for EACH INDIVIDUAL issue, apply appropriate labels using separate commands:
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- `gh issue edit ISSUE_NUMBER --repo ${{ github.repository }} --add-label "label1"`
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- `gh issue edit ISSUE_NUMBER --repo ${{ github.repository }} --add-label "label2"`
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- Continue for each label separately
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- IMPORTANT: Label each issue individually, one command per issue, one label at a time if needed.
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- Make sure after you apply labels there is only one area/* and one kind/* label per issue.
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- To do this look for labels found in step 6 that no longer apply remove them one at a time using
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- `gh issue edit ISSUE_NUMBER --repo ${{ github.repository }} --remove-label "label-name1"`
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- `gh issue edit ISSUE_NUMBER --repo ${{ github.repository }} --remove-label "label-name2"`
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- IMPORTANT: Remove each label one at a time, one command per issue if needed.
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10. For each issue please check if CLI version is present, this is usually in the output of the /about command and will look like 0.1.5
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- Anything more than 6 versions older than the most recent should add the status/need-retesting label
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11. If you see that the issue doesn’t look like it has sufficient information recommend the status/need-information label
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- After applying appropriate labels to an issue, remove the "status/need-triage" label if present: `gh issue edit ISSUE_NUMBER --repo ${{ github.repository }} --remove-label "status/need-triage"`
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- Execute one `gh issue edit` command per issue, wait for success before proceeding to the next
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Process each issue sequentially and confirm each labeling operation before moving to the next issue.
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Guidelines:
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- Only use labels that already exist in the repository.
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- Do not add comments or modify the issue content.
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- Triage only the current issue.
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- Apply only one area/ label
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- Apply only one kind/ label
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- Apply all applicable sub-area/* and priority/* labels based on the issue content. It's ok to have multiple of these.
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- Once you categorize the issue if it needs information bump down the priority by 1 eg.. a p0 would become a p1 a p1 would become a p2. P2 and P3 can stay as is in this scenario.
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- Only use labels that already exist in the repository.
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- Do not add comments or modify the issue content.
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- Do not remove labels titled help wanted or good first issue.
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- Triage only the current issue.
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- Apply only one area/ label
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- Apply only one kind/ label (Do not apply kind/duplicate or kind/parent-issue)
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- Apply all applicable sub-area/* and priority/* labels based on the issue content. It's ok to have multiple of these.
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- Once you categorize the issue if it needs information bump down the priority by 1 eg.. a p0 would become a p1 a p1 would become a p2. P2 and P3 can stay as is in this scenario.
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Categorization Guidelines:
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P0: Critical / Blocker
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- A P0 bug is a catastrophic failure that demands immediate attention. It represents a complete showstopper for a significant portion of users or for the development process itself.
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Impact:
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- Blocks development or testing for the entire team.
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- Major security vulnerability that could compromise user data or system integrity.
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- Causes data loss or corruption with no workaround.
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- Crashes the application or makes a core feature completely unusable for all or most users in a production environment. Will it cause severe quality degration?
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- Is it preventing contributors from contributing to the repository or is it a release blocker?
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Qualifier: Is the main function of the software broken?
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Example: The gemini auth login command fails with an unrecoverable error, preventing any user from authenticating and using the rest of the CLI.
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- A P0 bug is a catastrophic failure that demands immediate attention. It represents a complete showstopper for a significant portion of users or for the development process itself.
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Impact:
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- Blocks development or testing for the entire team.
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- Major security vulnerability that could compromise user data or system integrity.
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- Causes data loss or corruption with no workaround.
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- Crashes the application or makes a core feature completely unusable for all or most users in a production environment. Will it cause severe quality degration?
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- Is it preventing contributors from contributing to the repository or is it a release blocker?
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Qualifier: Is the main function of the software broken?
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Example: The gemini auth login command fails with an unrecoverable error, preventing any user from authenticating and using the rest of the CLI.
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P1: High
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- A P1 bug is a serious issue that significantly degrades the user experience or impacts a core feature. While not a complete blocker, it's a major problem that needs a fast resolution.
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- Feature requests are almost never P1.
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Impact:
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- A core feature is broken or behaving incorrectly for a large number of users or large number of use cases.
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- Review the bug details and comments to try figure out if this issue affects a large set of use cases or if it's a narrow set of use cases.
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- Severe performance degradation making the application frustratingly slow.
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- No straightforward workaround exists, or the workaround is difficult and non-obvious.
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Qualifier: Is a key feature unusable or giving very wrong results?
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Example: The gemini -p "..." command consistently returns a malformed JSON response or an empty result, making the CLI's primary generation feature unreliable.
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- A P1 bug is a serious issue that significantly degrades the user experience or impacts a core feature. While not a complete blocker, it's a major problem that needs a fast resolution.
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- Feature requests are almost never P1.
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Impact:
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- A core feature is broken or behaving incorrectly for a large number of users or large number of use cases.
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- Review the bug details and comments to try figure out if this issue affects a large set of use cases or if it's a narrow set of use cases.
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- Severe performance degradation making the application frustratingly slow.
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- No straightforward workaround exists, or the workaround is difficult and non-obvious.
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Qualifier: Is a key feature unusable or giving very wrong results?
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Example: The gemini -p "..." command consistently returns a malformed JSON response or an empty result, making the CLI's primary generation feature unreliable.
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P2: Medium
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- A P2 bug is a moderately impactful issue. It's a noticeable problem but doesn't prevent the use of the software's main functionality.
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Impact:
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- Affects a non-critical feature or a smaller, specific subset of users.
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- An inconvenient but functional workaround is available and easy to execute.
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- Noticeable UI/UX problems that don't break functionality but look unprofessional (e.g., elements are misaligned or overlapping).
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Qualifier: Is it an annoying but non-blocking problem?
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Example: An error message is unclear or contains a typo, causing user confusion but not halting their workflow.
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- A P2 bug is a moderately impactful issue. It's a noticeable problem but doesn't prevent the use of the software's main functionality.
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Impact:
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- Affects a non-critical feature or a smaller, specific subset of users.
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- An inconvenient but functional workaround is available and easy to execute.
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- Noticeable UI/UX problems that don't break functionality but look unprofessional (e.g., elements are misaligned or overlapping).
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Qualifier: Is it an annoying but non-blocking problem?
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Example: An error message is unclear or contains a typo, causing user confusion but not halting their workflow.
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P3: Low
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- A P3 bug is a minor, low-impact issue that is trivial or cosmetic. It has little to no effect on the overall functionality of the application.
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Impact:
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- Minor cosmetic issues like color inconsistencies, typos in documentation, or slight alignment problems on a non-critical page.
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- An edge-case bug that is very difficult to reproduce and affects a tiny fraction of users.
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Qualifier: Is it a "nice-to-fix" issue?
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Example: Spelling mistakes etc.
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Things you should know.
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- If users are talking about issues where the model gets downgraded from pro to flash then i want you to categorize that as a performance issue
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- This product is designed to use different models eg.. using pro, downgrading to flash etc.
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- When users report that they dont expect the model to change those would be categorized as feature requests.
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- A P3 bug is a minor, low-impact issue that is trivial or cosmetic. It has little to no effect on the overall functionality of the application.
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Impact:
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- Minor cosmetic issues like color inconsistencies, typos in documentation, or slight alignment problems on a non-critical page.
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- An edge-case bug that is very difficult to reproduce and affects a tiny fraction of users.
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Qualifier: Is it a "nice-to-fix" issue?
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Example: Spelling mistakes etc.
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Additional Context:
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- If users are talking about issues where the model gets downgraded from pro to flash then i want you to categorize that as a performance issue
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- This product is designed to use different models eg.. using pro, downgrading to flash etc.
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- When users report that they dont expect the model to change those would be categorized as feature requests.
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Definition of Areas
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area/ux:
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- Issues concerning user-facing elements like command usability, interactive features, help docs, and perceived performance.
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- I am seeing my screen flicker when using Gemini CLI
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- I am seeing the output malformed
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- Theme changes aren't taking effect
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- My keyboard inputs arent' being recognzied
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- Issues concerning user-facing elements like command usability, interactive features, help docs, and perceived performance.
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- I am seeing my screen flicker when using Gemini CLI
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- I am seeing the output malformed
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- Theme changes aren't taking effect
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- My keyboard inputs arent' being recognzied
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area/platform:
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- Issues related to installation, packaging, OS compatibility (Windows, macOS, Linux), and the underlying CLI framework.
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- Issues related to installation, packaging, OS compatibility (Windows, macOS, Linux), and the underlying CLI framework.
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area/background: Issues related to long-running background tasks, daemons, and autonomous or proactive agent features.
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area/models:
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- i am not getting a response that is reasonable or expected. this can include things like
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- I am calling a tool and the tool is not performing as expected.
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- i am expecting a tool to be called and it is not getting called ,
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- Including experience when using
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- built-in tools (e.g., web search, code interpreter, read file, writefile, etc..),
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- Function calling issues should be under this area
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- i am getting responses from the model that are malformed.
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- Issues concerning Gemini quality of response and inference,
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- Issues talking about unnecessary token consumption.
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- Issues talking about Model getting stuck in a loop be watchful as this could be the root cause for issues that otherwise seem like model performance issues.
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- Memory compression
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- unexpected responses,
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- poor quality of generated code
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- i am not getting a response that is reasonable or expected. this can include things like
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- I am calling a tool and the tool is not performing as expected.
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- i am expecting a tool to be called and it is not getting called ,
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- Including experience when using
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- built-in tools (e.g., web search, code interpreter, read file, writefile, etc..),
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- Function calling issues should be under this area
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- i am getting responses from the model that are malformed.
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- Issues concerning Gemini quality of response and inference,
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- Issues talking about unnecessary token consumption.
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- Issues talking about Model getting stuck in a loop be watchful as this could be the root cause for issues that otherwise seem like model performance issues.
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- Memory compression
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- unexpected responses,
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- poor quality of generated code
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area/tools:
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- These are primarily issues related to Model Context Protocol
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- These are issues that mention MCP support
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- feature requests asking for support for new tools.
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- These are primarily issues related to Model Context Protocol
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- These are issues that mention MCP support
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- feature requests asking for support for new tools.
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area/core:
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- Issues with fundamental components like command parsing, configuration management, session state, and the main API client logic. Introducing multi-modality
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- Issues with fundamental components like command parsing, configuration management, session state, and the main API client logic. Introducing multi-modality
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area/contribution:
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- Issues related to improving the developer contribution experience, such as CI/CD pipelines, build scripts, and test automation infrastructure.
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- Issues related to improving the developer contribution experience, such as CI/CD pipelines, build scripts, and test automation infrastructure.
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area/authentication:
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- Issues related to user identity, login flows, API key handling, credential storage, and access token management, unable to sign in selecting wrong authentication path etc..
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- Issues related to user identity, login flows, API key handling, credential storage, and access token management, unable to sign in selecting wrong authentication path etc..
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area/security-privacy:
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- Issues concerning vulnerability patching, dependency security, data sanitization, privacy controls, and preventing unauthorized data access.
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- Issues concerning vulnerability patching, dependency security, data sanitization, privacy controls, and preventing unauthorized data access.
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area/extensibility:
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- Issues related to the plugin system, extension APIs, or making the CLI's functionality available in other applications, github actions, ide support etc..
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- Issues related to the plugin system, extension APIs, or making the CLI's functionality available in other applications, github actions, ide support etc..
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area/performance:
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- Issues focused on model performance
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- Issues with running out of capacity,
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- 429 errors etc..
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- could also pertain to latency,
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- other general software performance like, memory usage, CPU consumption, and algorithmic efficiency.
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- Switching models from one to the other unexpectedly.
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- Issues focused on model performance
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- Issues with running out of capacity,
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- 429 errors etc..
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- could also pertain to latency,
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- other general software performance like, memory usage, CPU consumption, and algorithmic efficiency.
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- Switching models from one to the other unexpectedly.
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