# Agent Orchestration Handoff

> Use when splitting work across agents, subagents, workers, review passes, or long-running handoffs.

- **Type:** Skill
- **Install:** `agentstack add skill-jukrap-ai-agent-playbook-agent-orchestration-handoff`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [jukrap](https://agentstack.voostack.com/s/jukrap)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [jukrap](https://github.com/jukrap)
- **Source:** https://github.com/jukrap/ai-agent-playbook/tree/main/skills/ai-harness/agent-orchestration-handoff
- **Website:** https://www.npmjs.com/package/ai-agent-playbook

## Install

```sh
agentstack add skill-jukrap-ai-agent-playbook-agent-orchestration-handoff
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Agent Orchestration Handoff

Use this as the primary AI harness skill for dividing multi-agent work, bounding worker context, recording evidence, and reconciling handoffs.

## Workflow

1. Classify the orchestration mode: parallel subtasks, sequential handoff, review pass, external worker, long-running resume, or reconciliation after multiple outputs.
2. Define a worker contract before dispatch: goal, allowed paths, required reads, forbidden writes, tool limits, expected artifacts, stop conditions, and context budget.
3. Keep a compact evidence ledger for each worker with task id, input scope, claims, locators, status, residual risk, and review result.
4. Reconcile outputs before merging conclusions: conflicts, duplicate edits, stale facts, missing verification, privacy leaks, and generated evidence boundaries.
5. Promote only reviewed conclusions into memory, docs, worklogs, or canon. Keep raw traces and generated reports under runtime or local-only evidence.

## Reference

Read `references/worker-contract.md` when defining worker scope, allowed context, outputs, and stop conditions.

Read `references/evidence-ledger-and-reconciliation.md` when merging multiple worker outputs, reviewing claims, or preparing a handoff.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [jukrap](https://github.com/jukrap)
- **Source:** [jukrap/ai-agent-playbook](https://github.com/jukrap/ai-agent-playbook)
- **License:** MIT
- **Homepage:** https://www.npmjs.com/package/ai-agent-playbook

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-jukrap-ai-agent-playbook-agent-orchestration-handoff
- Seller: https://agentstack.voostack.com/s/jukrap
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.