Retro on a `make-it-right` run: finds where it missed a problem, kept a false alarm, made a bad fix, or skipped a step, proves each lesson with a failing replay at the lowest level that shows it, and proposes the edit to make-it-right. Also prunes rules that never fire. Use when the user says "made it wrong", "retro make-it-right", "make-it-right missed this", "why didn't make-it-right catch", "the reviewer found what make-it-right didn't", "teach make-it-right", "prune make-it-right", or after a PR that went through make-it-right gets review comments or fix commits.
77
97%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Low
Low-risk findings worth noting
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The skill processes GitHub PR review comments via a script, which can contain outsider-authored free text.
RoleModel/rolemodel-skills
fb30ecb
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.