loop-or-not

loop-or-not is an Execution & autonomous loops skill for AI agents, published by crazynomad in the skills repository on GitHub. Skillspace rates loop-or-not D (67/100) and it passed the safety scan; the rating is based on static analysis only.

Decide whether a task in the current project is worth running as an agent loop. Analyzes the repo for evidence first (tests/CI/bench scripts = available verifiers; issue+PR queues = recurring work; module boundaries), then interviews the user one question at a time on the genuine decisions, and returns one of three verdicts — don't loop (stay in the loop yourself), timer loop (/loop, /schedule), or goal loop (/goal) — with cited evidence and, when looping is warranted, a drafted four-part contract (goal / verification / boundary / stop) bound to real commands found in the repo. Recommending NO loop is a first-class outcome. Use when the user asks 值不值得 loop / should I loop this / 要不要上 /goal / 这个活能不能挂个循环自动跑, or wants to apply loop engineering to a project.

Grade

D

Quality

67 / 100

Safety

Passed

GitHub stars

27

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

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