Classify code review findings in a browser and update report.json.
npx skills add https://github.com/lklimek/claudius --skill triage-findings
Please help me install this Agent Skill. Skill: triage-findings Source: https://github.com/lklimek/claudius/tree/main/skills/triage-findings Command: npx skills add https://github.com/lklimek/claudius --skill triage-findings
This Skill streamlines the code review process by allowing interactive classification and management of findings, ensuring that only relevant issues are addressed.
report.json file.TODO comments, or marking risks as intentional.report.json, use this Skill to quickly go through each finding, decide on the appropriate action, and have the system update the code or comments accordingly.Use the triage-findings skill to interactively triage the findings in the file 'report.json'.
High-intent search queries and answers about installing and using this skill.
To triage code review findings interactively, you provide a JSON report file to the Skill, which validates it with Python scripts and serves a browser-based UI for classifying each finding as Fix, Accept Risk, Defer, or False Positive.
The best way to classify automated code review findings is using an interactive triage UI that lets you review each issue and write decisions directly back to the report.json file, ensuring only relevant issues are addressed.
Yes, you need Python along with the python3-jsonschema dependency to validate the JSON report file and serve the browser-based triage interface for managing your code review findings.
Yes, you can defer false positives during code review triage, and the system automatically updates the report.json file with your decisions to facilitate targeted fixes or mark risks as intentional.
When triaging findings in a code review report, you can classify each issue as Fix, Accept Risk, Defer, or False Positive, enabling the system to apply fixes, add TODO comments, or document intentional risks.
Triage of code review findings requires manual classification before code modification to filter out false positives and ensure developers only spend time applying fixes or adding TODO comments to relevant, actionable issues.
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