cross-agent-handoff

cross-agent-handoff is a skill for Claude Code from organvm-iv-taxis/a-i--skills. It costs 53 tokens per session (1,532 once invoked), scanned A, original, Apache-2.0.

A method for passing work from one AI agent session to another while preserving the current state, decisions, progress, and important constraints.

In plain words
What is it for?
Use it when work continues across sessions, agents, context limits, or timeouts. It helps create structured handoff notes and keep multi-agent projects consistent.
Why use it?
It prevents the next session from repeating investigation, reversing earlier decisions, or missing details when the first session ends.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the example-skills plugin — 47 skills, 2 commands, 1 agent shipped together

Good fit Use it when work continues across sessions, agents, context limits, or timeouts. It helps create structured handoff notes and keep multi-agent projects consistent.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/organvm-iv-taxis/a-i--skills/cross-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 organvm-iv-taxis/a-i--skills --skill cross-agent-handoff
Clone the repo
git clone --depth 1 https://github.com/organvm-iv-taxis/a-i--skills

Made for: Claude Code.

Or install example-skills, the plugin that ships this one along with the rest of its 47 skills, 2 commands, 1 agent.

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 cross-agent-handoff

README.md
[![agentmods](https://agentmods.dev/badge/skills/organvm-iv-taxis/a-i--skills/cross-agent-handoff/github.svg)](https://agentmods.dev/skills/organvm-iv-taxis/a-i--skills/cross-agent-handoff)
Your own site
<a href="https://agentmods.dev/skills/organvm-iv-taxis/a-i--skills/cross-agent-handoff"><img src="https://agentmods.dev/badge/skills/organvm-iv-taxis/a-i--skills/cross-agent-handoff/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.

agentmods 80×15 button for cross-agent-handoff

Your own site · 80×15
<a href="https://agentmods.dev/skills/organvm-iv-taxis/a-i--skills/cross-agent-handoff"><img src="https://agentmods.dev/badge/skills/organvm-iv-taxis/a-i--skills/cross-agent-handoff.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,532 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 pass 7 Sept 2026
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 $0.00053 $0.01532
Opus 5 $0.00026 $0.00766
Sonnet 5 $0.00011 $0.00306
Haiku 4.5 $0.00005 $0.00153

Measured 12d ago against content hash bf207e5f17d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cross-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 12d 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.

distributions/claude/skills/cross-agent-handoff/SKILL.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cross-Agent Handoff

Transfer work between agent sessions without losing context, decisions, or progress.

The Handoff Problem

When an agent session ends (context limit, task change, timeout), work must continue. Without a structured handoff, the next agent:

  • Re-explores already-understood code
  • Re-makes already-decided decisions
  • Contradicts previous agent's approach
  • Misses critical constraints discovered earlier

Handoff Document Structure

# Agent Handoff: {task-name}

**From:** Session {id} | **Date:** {date} | **Phase:** {current-phase}

## Current State
{What exists right now — files created, branches, test status}

## Completed Work
{What was accomplished, with evidence}
- [x] Created skills/development/python-packaging-patterns/SKILL.md
- [x] Created skills/development/cli-tool-design/SKILL.md
- [ ] Wave 1 skills (not started)

## Key Decisions
{Decisions made and WHY — so next agent doesn't re-litigate}
| Decision | Rationale |
|----------|-----------|
| Used governance_norm_group: repo-hygiene for packaging skills | Packaging is infrastructure hygiene, not quality-gate |
| Put data-backup-patterns in development/ not security/ | It's an engineering pattern, security-baseline applies via norm_group |

## Critical Context
{Non-obvious information the next agent needs}
- The ecosystem.yaml shows 130+ skills target, currently at 101
- Governance metadata format: governance_phases, governance_norm_group, organ_affinity, triggers, complements
- Bundle skills use `includes:` field listing constituent skill names

## Next Actions
{Exactly what to do next, no ambiguity}
1. Create Wave 1 skills: fastapi-patterns, database-migration-patterns, ...
2. After all waves: run refresh_skill_collections.py
3. Then validate with validate_skills.py --collection example --unique

## Risks & Warnings
{Things that could go wrong}
- Skill name must match directory name exactly
- .build/ artifacts must be refreshed after skill changes
- 16GB RAM constraint: max 4-6 concurrent agents

Read the full file on GitHub · 195 lines

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. 12d ago First seen · 195 lines · 53 tokens per session scan A bf207e5f17d1

Subscribe to this mod's changes

cross-agent-handoff is a skill published in the GitHub repository organvm-iv-taxis/a-i--skills (17 stars, last pushed 16d ago), licensed Apache-2.0. It adds 53 tokens to every session and 1,532 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.

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