Automate structured code reviews and generate consolidated findings reports.
npx skills add https://github.com/Kibertum/tausik-core --skill review-kibertum
Please help me install this Agent Skill. Skill: review Source: https://github.com/Kibertum/tausik-core/tree/main/agents/skills/review Command: npx skills add https://github.com/Kibertum/tausik-core --skill review-kibertum
This Skill guides rigorous code review processes, helping teams detect bugs, vulnerabilities, and architectural antipatterns before changes ship.
Submit a PR for review and run /review on the target file or directory to generate a structured analysis.
High-intent search queries and answers about installing and using this skill.
An automated structured code review loads task context and stack conventions to identify defects and improvements. It applies multi-phase checks across quality, implementation, testing, simplification, and documentation to flag issues and suggest fixes.
To review a pull request, submit the PR and run the review command on the target file or directory. The process analyzes code changes against acceptance criteria to catch security vulnerabilities and generates a consolidated findings report.
Yes, you can apply this code review workflow to changes across multiple files or directories. It loads project rules and stack conventions to perform comprehensive checks across the entire codebase or targeted directories.
The best way to verify code changes meet acceptance criteria is running a multi-phase review with an adversarial critic. It assesses quality, implementation, tests, and documentation, aggregating findings into a consolidated report for traceability.
Yes, a task with acceptance criteria and a PR or codebase to review is required. The review process uses these acceptance criteria to align suggested fixes and ensure the code changes meet the defined project requirements.
Your code review output includes findings from parallel agents because the process uses separate agents to assess quality, implementation, tests, simplification, and documentation. This multi-phase approach ensures rigorous defect detection and architectural analysis.
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