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agent-severance

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Offboard an AI agent the way you'd offboard an employee — inventory what it knew and touched, export then purge its memory, revoke every credential and access grant, and write the handover for its successor (human or agent). Use when decommissioning an agent or bot, switching agent vendors, ending an AI pilot, or when someone asks 'what did this thing have access to?'. Produces a severance checklist, an access-revocation table, a memory disposition record, and a successor handover.

skills/agent-severance/SKILL.md

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Last checked
Nov 9, 2026

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1,539
Repository last updated
Nov 10, 2026
License
MIT

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# Agent Severance Skill

Orgs learned employee offboarding the hard way: the contractor whose VPN worked
for a year after the contract, the shared password nobody rotated. Long-lived
agents recreate every one of those failure modes with worse logging — an agent
accumulates credentials, memory, integrations, scheduled jobs, and undocumented
responsibilities, and then one day it's "turned off" by deleting a chat window
while its API keys live on. This skill runs the severance properly: know what
it had, keep what's valuable, kill what's live, and hand over what it did.

## What This Skill Produces

- An **inventory**: everything the agent could touch (credentials, tools, data
  stores, channels), everything it knew (memory, context files, fine-tuning or
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