Use when diagnosing a evener session, job, watch, or the session tree — investigating watch runaways (self-influence depth + runaway-fuse drops), dropped/coalesced deliveries, "how many times did X actually get called", stuck turns, or…
Use when designing, running, or diagnosing Evener tool-fluency experiments for a real built-in, plugin, or newly added tool. Covers probe manifests, model comparisons, semantic oracles, and interpreting fluency failures without ad-hoc transcript parsing.
Use when a surface parses untrusted or model-generated input — a wire protocol, tool-call JSON, upstream SSE, an HTTP body — or after a parser/dispatch bug, to fuzz that surface and turn any deterministic failure into a permanent, flake-guarded regression…
Quellsprache: Englisch
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Diesen Prompt kopieren und in den verwendeten KI-Assistenten einfügen.
Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/prime-radiant-inc/evener.