ask-colleague

ask-colleague is a Multi-agent review & consensus skill for AI agents, published by agentculture in the culture repository on GitHub. Skillspace rates ask-colleague C (72/100) and it passed the safety scan; the rating is based on static analysis only.

Ask colleague — a *different* backend/model than you (e.g. a local vLLM Qwen) — to take a scoped repo task off your plate, then fold its answer back. The point isn't a stronger model; it's a second, independent mind, and that diversity is the value: `ask-colleague review` gets a candid second opinion on a diff, `ask-colleague explore` gets a fresh read of an area, `ask-colleague write` hands off a small implementation, `ask-colleague feedback` grades a finished work item (the ROI loop), and `ask-colleague clean` reaps stale/corrupt `colleague/*` branches a crashed run left behind (which can break `git fetch`). Reach for it REFLEXIVELY, the way you'd lean over to the teammate at the next desk — not only when asked: before you present or open a PR on a non-trivial committed diff, run `review` for a diverse second opinion; for a fresh read of an unfamiliar area whose answer is independent of your current context, run `explore`. Both are read-only — isolated in a throwaway git worktree,…

Grade

C

Quality

72 / 100

Safety

Passed

GitHub stars

110

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

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