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Agent Severance

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mohitagw15856
agent-severance

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.

Overview

Publishermohitagw15856
Repositorypm-claude-skills
Skill nameagent-severance
Stars
1.4K
Forks
240
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by mohitagw15856 on GitHub. Read the source before you install it.

Installation

Install the Agent Severance AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git /tmp/pm-claude-skills
mkdir -p .claude/skills
cp -r /tmp/pm-claude-skills/exports/openclaw/agent-severance .claude/skills/agent-severance
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Severance in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent Severance on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent Severance is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 instructions), and everything it did on a schedule
  • An access-revocation table with owner and verification step per row — revoked isn't revoked until someone confirmed the key is dead
  • A memory disposition record: exported / retained (where, why, how long) / purged (how verified) — the part compliance will ask about in 2027
  • A successor handover: the agent's actual duties, including the undocumented ones users discovered, for whoever inherits them

Required Inputs

Ask for (if not already provided):

  • The agent: platform, what it was for, how long it ran, who owned it
  • Known integrations and credentials (then treat the list as incomplete on principle — the inventory step hunts for the rest)
  • Why it's being offboarded (vendor switch, pilot ended, incident, cost) — incident-driven severance changes the order: revoke first, inventory second
  • What must survive: memory worth exporting, workflows someone still needs

Process

  1. Inventory before touching anything (unless incident — then revoke first). Hunt beyond the known list: API keys and OAuth grants · service accounts · webhook URLs pointing at it · scheduled/cron jobs it ran · channels it posted in · data stores it read or wrote · other agents that called it (the A2A dependencies nobody documented) · what its memory contains, including personal data.
  2. Decide memory disposition per store, not wholesale. Export what has value (decisions log, learned context) to an owned location; name a retention owner and period for anything kept; purge the rest and record how purged (vendor deletion request ≠ deleted — note what the vendor actually promises). Personal data follows your privacy policy's deletion rules, flagged explicitly.
  3. Revoke with verification. Every row gets: the credential, who revokes it, and the test that proves it's dead (the call that now fails). Rotate any shared secrets the agent ever held — its copy dying doesn't kill the copies.
  4. Write the honest handover. What it was supposed to do, what it actually did (ask its users — there are always undocumented duties), open threads mid-flight, and the workflows that will silently break next Tuesday when it stops.
  5. Announce the death. One message to the channels it served: it's gone, here's who/what replaces it, here's where its exported memory lives.

Output Format

## Severance summary
[Agent, tenure, reason, severance owner, target date]

## Inventory
Access: [table — system, grant, discovered-how] · Knowledge: [stores + contents]
Duties: [scheduled + reactive + undocumented] · Dependents: [who/what calls it]

## Memory disposition
| Store | Export → where | Retain (owner, period) | Purge (method, verified how) |

## Revocation
| Credential/grant | Revoked by | Dead-key test | Status |

## Handover to successor
[Duties with enough detail to actually run them · open threads · will-break list]

## Announcement
[The message to its channels]

Quality Checks

  • The inventory includes at least one category the user didn't mention — scheduled jobs and agent-to-agent callers are the usual blind spots
  • Every revocation row has a verification test, not just an action
  • Shared secrets the agent held are rotated, not just revoked
  • Memory disposition distinguishes vendor-promised deletion from verified deletion, and flags personal data
  • The handover names what breaks when the agent stops — if the answer is "nothing", the duties inventory probably isn't done

Anti-Patterns

  • Do not equate "deleted the chat/app" with offboarded — the checklist exists because credentials outlive interfaces
  • Do not purge memory before the export decision — severance is irreversible in exactly one direction
  • Do not skip the users interview; the undocumented duties are the ones that page someone at 2am after shutdown
  • Do not write this as a vendor grudge document — it's an operational record compliance and the successor will both read

Related

[[agent-hiring-panel]] is the front door this is the back door of; [[context-bankruptcy]] when the agent stays but its memory shouldn't; [[agent-incident-postmortem]] if an incident triggered this.

Frequently asked questions

What does the Agent Severance AI skill do?

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.

Why use Agent Severance on TypingMind?

Because you install it once and use it with any model. Agent Severance is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent Severance in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mohitagw15856/pm-claude-skills/tree/main/exports/openclaw/agent-severance. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Severance?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent Severance?

As many as you like. As long as a model supports skills, you can use Agent Severance with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent Severance AI skill free?

Yes. It is published on GitHub by mohitagw15856 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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