multi-agent-handoff

multi-agent-handoff is a skill for Codex from Arenukvern/mcp_flutter. It costs 62 tokens per session (2,382 once invoked), scanned A, original, MIT.

A method for passing clear work instructions and results between specialized AI agents. It defines the original goal, responsibilities, constraints, verification, partial results, and the next agent's starting point.

In plain words
What is it for?
Use it to coordinate foreman and worker agents, divide exploration and implementation, record reviewer gates, preserve goals across sessions, and document validation status in a HANDOFF.md file.
Why use it?
It reduces lost context when work is split across agents or chat sessions. Written contracts make handoffs easier to audit and show which claims or checks are still unproven.

Skill for Codex

Written for Codex: reads ~/.codex or $CODEX_HOME. Also seen: mentions subagents; installed under .agents/ (shared by several agents); mentions Codex.

Good fit Use it to coordinate foreman and worker agents, divide exploration and implementation, record reviewer gates, preserve goals across sessions, and document validation status in a HANDOFF.md file.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/arenukvern/mcp_flutter/multi-agent-handoff
Install

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.

Any agent
npx skills add Arenukvern/mcp_flutter --skill multi-agent-handoff
Clone the repo
git clone --depth 1 https://github.com/Arenukvern/mcp_flutter

Made for: Codex.

Wrote 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.

agentmods badge for multi-agent-handoff

README.md
[![agentmods](https://agentmods.dev/badge/skills/arenukvern/mcp_flutter/multi-agent-handoff.svg)](https://agentmods.dev/skills/arenukvern/mcp_flutter/multi-agent-handoff)
Your own site
<a href="https://agentmods.dev/skills/arenukvern/mcp_flutter/multi-agent-handoff"><img src="https://agentmods.dev/badge/skills/arenukvern/mcp_flutter/multi-agent-handoff.svg" alt="Measured on agentmods" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,382 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 190
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium Rogue Agent · line 111
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.02382
Opus 5 $0.00031 $0.01191
Sonnet 5 $0.00012 $0.00476
Haiku 4.5 $0.00006 $0.00238

Measured 8d ago against content hash 79b544dc22d6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

multi-agent-handoff 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 8d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/multi-agent-handoff/SKILL.md · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multi-agent handoff

Structure work so multiple agents can execute sequentially without losing context.

When to use

  • Splitting a large task across explorer, implementer, and reviewer agents
  • Foreman/worker or parent/subagent patterns
  • Need a written baton between chat sessions or tools

Handoff document template

Create or update HANDOFF.md (or a section in the task issue) with:

## Goal
{one sentence outcome}

## Done
- {completed items}

## Next
1. {ordered steps for the receiving agent}

## Constraints
- {tech stack, style, files not to touch}

## Verification
- {commands or checks that must pass}

## Validation status
- {commands run}
- {commands skipped or blocked, with reason}
- {blocked JSON explained with `steward blocked explain --input <path> --json`, when available}
- {schema/output drift checked with `steward schema check-outputs --json`, when machine-readable output is part of the handoff}
- {claims not proven because validation was skipped or blocked}

## Partial results
- {missing, partial, superseded, or timed-out agents/lenses}

## Context links
- {paths, PRs, prior decisions}

## Artifact capture
- {ADR, FAQ, skill, evidence note, test, validator, generator, or check that should absorb durable learning}

Parallel batch contract

For broad decomposable work, the parent may use a disposable batch section instead of a new plan format. Keep only enough contract to move safely:

  • original goal and user acceptance check;
  • default native gate and aggregate gates;
  • product impact check for the primary artifact, especially when the repo is an app, library, CLI/tool, plugin, or prototype;
  • detour budget and stop condition;
  • integration capacity, merge order, and conflict policy;
  • comparison strategy for lane outputs;
  • final evidence boundary, claim ceiling, and non-claims;
  • acceleration note with three fields: Saved, Cost/duplication, and Future hot path;
  • hot-path promotion check for repeated verification or comparison work.

Read the full file on GitHub · 196 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 8d ago First seen · 196 lines · 62 tokens per session scan A 79b544dc22d6

Subscribe to this mod's changes

multi-agent-handoff is a skill published in the GitHub repository Arenukvern/mcp_flutter (373 stars, last pushed 12d ago), licensed MIT. It adds 62 tokens to every session and 2,382 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 2026-08-30.