Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add latestaiagents/agent-skills --skill agent-handoff-protocolsgit clone --depth 1 https://github.com/latestaiagents/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/latestaiagents/agent-skills/agent-handoff-protocols)<a href="https://agentmods.dev/skills/latestaiagents/agent-skills/agent-handoff-protocols"><img src="https://agentmods.dev/badge/skills/latestaiagents/agent-skills/agent-handoff-protocols/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/latestaiagents/agent-skills/agent-handoff-protocols"><img src="https://agentmods.dev/badge/skills/latestaiagents/agent-skills/agent-handoff-protocols.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00054 | $0.02378 |
| Opus 5 | $0.00027 | $0.01189 |
| Sonnet 5 | $0.00011 | $0.00476 |
| Haiku 4.5 | $0.00005 | $0.00238 |
Grade A, and why
agent-handoff-protocols scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 452 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Handoff Protocols
Design clean, reliable protocols for passing tasks and context between AI agents.
When to Use
- Agents need to pass work to each other
- Context must be preserved across agent transitions
- Building agent pipelines or workflows
- Implementing specialized agent chains
Handoff Fundamentals
What Gets Transferred
interface HandoffPackage {
// The work item
task: {
id: string;
type: string;
description: string;
requirements: string[];
};
// Context from previous work
context: {
originalRequest: string;
completedSteps: Step[];
intermediateResults: Record<string, unknown>;
relevantFiles: string[];
decisions: Decision[];
};
// Metadata
metadata: {
sourceAgent: string;
targetAgent: string;
timestamp: Date;
priority: number;
deadline?: Date;
attempt: number;
};
// Expectations
expectations: {
outputFormat: JSONSchema;
successCriteria: string[];
timeoutMs: number;
};
}
Handoff States
┌─────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐
│ PENDING │───►│ ACCEPTED │───►│ WORKING │───►│ COMPLETE │
└─────────┘ └──────────┘ └──────────┘ └──────────┘
│ │ │ │
▼ ▼ ▼ ▼
┌─────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐
│ TIMEOUT │ │ REJECTED │ │ FAILED │ │ RETURNED │
└─────────┘ └──────────┘ └──────────┘ └──────────┘
Protocol Patterns
Pattern 1: Direct Handoff
Simple point-to-point transfer.
class DirectHandoff {
async transfer(
from: Agent,
to: Agent,
package: HandoffPackage
): Promise<HandoffResult> {
// Validate target can accept
const canAccept = await to.canAccept(package);
if (!canAccept.ok) {
return { status: 'rejected', reason: canAccept.reason };
}
// Prepare context summary
const contextSummary = await from.summarizeContext(package.context);
// Execute handoff
const ack = await to.receive({
...package,
context: {
...package.context,
summary: contextSummary
}
});
if (ack.accepted) {
await from.releaseTask(package.task.id);
return { status: 'accepted', receivedAt: ack.timestamp };
}
return { status: 'rejected', reason: ack.reason };
}
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 452 lines · 54 tokens per session scan A 34695bf74772
agent-handoff-protocols is a skill published in the GitHub repository latestaiagents/agent-skills (5 stars, last pushed 4mo ago), licensed MIT. It adds 54 tokens to every session and 2,378 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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