Stats
Actions
Tags
'%20stop-opacity%3D'0.16'%2F%3E%3Cstop%20offset%3D'1'%20stop-color%3D'rgb(200%2C90%2C60)'%20stop-opacity%3D'0.03'%2F%3E%3C%2FlinearGradient%3E%3C%2Fdefs%3E%3Crect%20width%3D'320'%20height%3D'200'%20fill%3D'url(%23g)'%2F%3E%3Ccircle%20cx%3D'250'%20cy%3D'56'%20r%3D'92'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.06'%2F%3E%3Ccircle%20cx%3D'64'%20cy%3D'172'%20r%3D'58'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.05'%2F%3E%3C%2Fsvg%3E)
From episteme
Designs safe unattended or long-running loops with explicit limits, checkpoints, and handoff artifacts for automation beyond one interactive session.
How this skill is triggered — by the user, by Claude, or both
Slash command
/episteme:bounded-loop-runnerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use this skill when a user wants automation beyond one interactive session.
Use this skill when a user wants automation beyond one interactive session.
Include:
Do not default to unattended code-writing loops without explicit safeguards.
npx claudepluginhub junjslee/episteme --plugin epistemeDesigns, configures, and hardens autonomous agent loops with verification gates, persistent state, and stop conditions. Helps scope, build, and debug self-iterating agents.
Designs and orchestrates scheduled, multi-step agent loops (discover→triage→verify→land/escalate) with risk tiers, budget tracking, and a kill switch. Composes inner loops and native scheduling.
Find, compare, adapt, or design bounded AI-agent feedback loops with explicit checks, stop rules, guardrails, and handoffs. Use for recurring agent workflows, automation cadences, or iterative improvement processes.