task-feedback-reader

To control implementation loop exit conditions, you parse task feedback files by applying regular expressions to extract PASS/FAIL status, attempt counts, and issue details from specific markdown file formats.

Task feedback parsing works for sub-task validation status by reading specific markdown feedback files and applying regular expressions to extract the PASS/FAIL status, count critical and warning issues, and determine whether to continue or exit the loop.

Yes, you can use task feedback parsing to read feedback for remediation after a code validation step. It extracts critical and warning issues from validation feedback files to decide if implementation needs further refinement.

The best way to decide loop continuation when checking sub-task validation status is to parse the feedback file to determine whether to exit due to success, continue for refinement, or exit due to exceeding maximum allowed attempts.

Yes, you need specific markdown file formats to extract issues from validation feedback. The parsing process requires reading structured markdown files to accurately apply regular expressions for extracting status, attempt counts, and issue details.

Task feedback parsing fails to determine implementation loop exit conditions when the feedback file does not match the required specific markdown format, preventing regular expressions from extracting the necessary status, attempt counts, and issue details.