fixer

fixer is a Video production & editing skill for AI agents, published by alecs5am in the ralphy repository on GitHub. Skillspace rates fixer F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.

The eval-to-repair loop — the consumer of the evaluator's report (#409). Reads the eval output (eval-deep-vision.json's `what_to_redo` first, else eval.json `findings[]`), runs `ralphy project repair-plan <id>` to classify every finding by owner (art-director / scenarist / editor) and order it by severity, presents the ordered plan grouped by owner, gets the user's approval, then applies targeted fixes through the EXISTING `ralphy` verbs (art-director regen / scenarist rewrite / editor recut), re-renders, re-evals, and compares the old vs new verdict. HARD GATE: no paid model regeneration runs until the user approves the plan (or previously opted into batch repair). The deterministic `repair-plan` step itself makes ZERO model calls and is safe to run unprompted. USE WHEN the user says "fix the eval", "repair this render", "make it shippable", "fix the issues / problems / findings", "address the eval", "now fix it", "make the fixes", or hands off a failed / warn eval and asks what's…

Grade

F

Quality

45 / 100

Safety

Risky

GitHub stars

108

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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