five-haiku-reviewers

five-haiku-reviewers is a Multi-agent review & consensus skill for AI agents, published by CleanCocoa in the SearchExpressionParser repository on GitHub. Skillspace rates five-haiku-reviewers D (65/100) and it passed the safety scan; the rating is based on static analysis only.

Spawn five parallel Haiku subagents that each review a target (a document, a codebase, a directory, a single file, or a diff) through a different lens, then return an aggregated summary that surfaces issues multiple reviewers agreed on. Use this skill whenever the user asks for a "comprehensive review", "thorough review", "in-depth review", "deep review", "full review", "broad review", "wide review", "360 review", "multi-angle review", "multi-lens review", "multi-perspective review", "parallel review", "clarity review", "quality review" — or for "5 haiku subagents", "five haiku reviewers", "ask 5 haikus to review X", "five-reviewer pass", or any close variant — even if they don't explicitly name the skill. Also use it when the user wants a broad sweep over something they wrote or built (a doc, a PR, a directory, a feature) and is willing to spend tokens on parallel reviewers in exchange for breadth and cross-checking. Prefer this over a single-pass review whenever the user asks for…

Grade

D

Quality

65 / 100

Safety

Passed

GitHub stars

26

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.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

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