prompt-optimize

prompt-optimize is a Prompt design & optimisation skill for AI agents, published by mega-edo in the mega-security repository on GitHub. Skillspace rates prompt-optimize 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.

Iteratively rewrite a chat system prompt to fix failures found by prompt-check. Reuses the check's scoring-set baseline (no re-measurement); measures the tuning set once at start; per iteration, the orchestrator (the main Claude Code session running this skill) rewrites the prompt against the TUNING-SET failures only — guided by a cumulative cheat_map of which rules previous iters accepted vs rejected — then re-measures on the tuning set as a search signal; only candidates that pass the tuning gate get a scoring-set generalization check. The scoring set is held back from the rewriter at all times. The final candidate is shown as a diff with three explicit choices — Auto-apply (overwrite the discovered source file), Select changes (pick a subset of accepted rules to apply), or Discard (leave source untouched). Adapt mode only.

Grade

F

Quality

45 / 100

Safety

Risky

GitHub stars

32

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

This rating describes the version of the repository we crawled; it may have changed since.

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