fan-out-fan-in

fan-out-fan-in is a skill for Claude Code, Codex from kaeawc/auto-mobile. It costs 36 tokens per session (422 once invoked), scanned A, original, Apache-2.0.

A Git workflow for splitting one coding task into separate worktrees, where each worktree is an isolated copy of the project, and merging the finished pieces back together.

In plain words
What is it for?
Use it to divide independent coding tasks among agents, check that their file scopes do not overlap, validate each result, and merge the work back into the main branch.
Why use it?
It prevents parallel agents from overwriting each other's files and helps catch conflicts through staged validation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Part of the auto-mobile plugin — 17 skills, 9 commands, 1 hook, 1 MCP server shipped together

Good fit Use it to divide independent coding tasks among agents, check that their file scopes do not overlap, validate each result, and merge the work back into the main branch.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kaeawc/auto-mobile/fan-out-fan-in
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 kaeawc/auto-mobile --skill fan-out-fan-in
Clone the repo
git clone --depth 1 https://github.com/kaeawc/auto-mobile

Made for: Claude Code, Codex.

Or install auto-mobile, the plugin that ships this one along with the rest of its 17 skills, 9 commands, 1 hook, 1 MCP server.

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 fan-out-fan-in

README.md
[![agentmods](https://agentmods.dev/badge/skills/kaeawc/auto-mobile/fan-out-fan-in/github.svg)](https://agentmods.dev/skills/kaeawc/auto-mobile/fan-out-fan-in)
Your own site
<a href="https://agentmods.dev/skills/kaeawc/auto-mobile/fan-out-fan-in"><img src="https://agentmods.dev/badge/skills/kaeawc/auto-mobile/fan-out-fan-in/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 fan-out-fan-in

Your own site · 80×15
<a href="https://agentmods.dev/skills/kaeawc/auto-mobile/fan-out-fan-in"><img src="https://agentmods.dev/badge/skills/kaeawc/auto-mobile/fan-out-fan-in.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 422 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 $0.00036 $0.00422
Opus 5 $0.00018 $0.00211
Sonnet 5 $0.00007 $0.00084
Haiku 4.5 $0.00004 $0.00042

Measured 12d ago against content hash c286e2205bee, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

fan-out-fan-in 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.

skills/fan-out-fan-in/SKILL.md · 31 lines

What it actually says

Fan Out Fan In

Use this when the user explicitly wants parallel agent work or the task is naturally decomposable into independent file scopes.

Workflow

  1. Read the plan from a file such as scratch/plan.md or from inline instructions.
  2. Record the parent branch and commit with git branch --show-current and git rev-parse HEAD.
  3. Stop if git status --short is not clean. Do not fan out from a dirty tree.
  4. Scan recent history and existing worktrees with git log --oneline -20 and git worktree list so you do not duplicate work.
  5. Split the work into units that do not edit the same files. If two units need the same file, merge them or sequence them.
  6. For each unit, create an isolated worktree from the parent commit with git worktree add ../worktree-unit-N -b fan-out-unit-N "$PARENT_COMMIT".
  7. In each worktree, implement only the assigned scope, run the relevant validation, and commit with fan-out: [unit-name].
  8. Merge unit branches back into the parent branch one at a time, validating after each merge and again at the end.
  9. Remove successful worktrees and branches. Preserve failed ones for inspection.

Repo Rules

  • Prefer repo validations over generic ones:
    • TypeScript: bun run lint, bun run build, bun test
    • Fast repo checks: bash scripts/all_fast_validate_checks.sh
    • Android: (cd android && ./gradlew <task>)
  • Write logs that matter to scratch/ if they are too long to inspect inline.
  • Do not create PRs or push branches as part of fan-out work.
  • Do not proceed if the work cannot be partitioned cleanly.
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 · 31 lines · 36 tokens per session scan A c286e2205bee

Subscribe to this mod's changes

fan-out-fan-in is a skill published in the GitHub repository kaeawc/auto-mobile (47 stars, last pushed today), licensed Apache-2.0. It adds 36 tokens to every session and 422 once invoked, about $0.0002 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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