Agent Orchestration Handoff
Use when splitting work across agents, subagents, workers, review passes, or long-running handoffs.
Install
$ agentstack add skill-jukrap-ai-agent-playbook-agent-orchestration-handoff ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-jukrap-ai-agent-playbook-agent-orchestration-handoff) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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
- Classify the orchestration mode: parallel subtasks, sequential handoff, review pass, external worker, long-running resume, or reconciliation after multiple outputs.
- Define a worker contract before dispatch: goal, allowed paths, required reads, forbidden writes, tool limits, expected artifacts, stop conditions, and context budget.
- Keep a compact evidence ledger for each worker with task id, input scope, claims, locators, status, residual risk, and review result.
- Reconcile outputs before merging conclusions: conflicts, duplicate edits, stale facts, missing verification, privacy leaks, and generated evidence boundaries.
- 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
- Source: 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.
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Versions
- v0.1.0 Imported from the upstream source.