batch

batch is a skill for Claude Code from hamzaPixl/pixl-ai. It costs 50 tokens per session (1,303 once invoked), scanned A, original, MIT.

A batch-processing skill that splits the same code change into independent tasks and assigns them to isolated Git worktrees. A worktree is a separate working copy of a repository.

In plain words
What is it for?
Use it for parallel migrations, refactors, or repeated changes across separate files, modules, or services.
Why use it?
It lets several independent changes proceed without agents editing the same working copy, leaving conflicts for an explicit merge step.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code.

Part of the pixl-crew plugin — 93 skills, 14 agents, 6 hooks shipped together

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.

agentmods
npx agentmods add skills/hamzapixl/pixl-ai/batch
Any agent
npx skills add hamzaPixl/pixl-ai --skill batch
Clone the repo
git clone --depth 1 https://github.com/hamzaPixl/pixl-ai

Made for: Claude Code.

Or install pixl-crew, the plugin that ships this one along with the rest of its 93 skills, 14 agents, 6 hooks.

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 batch

README.md
[![agentmods](https://agentmods.dev/badge/skills/hamzapixl/pixl-ai/batch.svg)](https://agentmods.dev/skills/hamzapixl/pixl-ai/batch)
Your own site
<a href="https://agentmods.dev/skills/hamzapixl/pixl-ai/batch"><img src="https://agentmods.dev/badge/skills/hamzapixl/pixl-ai/batch.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,303 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00050 $0.01303
Opus 5 $0.00025 $0.00651
Sonnet 5 $0.00010 $0.00261
Haiku 4.5 $0.00005 $0.00130

Measured 6d ago against content hash 8b7832569d61, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

batch 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 6d 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.

packages/crew/skills/batch/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Parallel worktree execution engine. Takes a transformation (refactor, migration, code mod, style change) and a target scope (files, modules, services), decomposes into N independent units, executes each in its own git worktree via isolated agents, then merges results.

Why worktree isolation matters: Each agent gets its own copy of the repo. No file conflicts during execution. Merge conflicts only surface at the explicit merge step — where they can be resolved intelligently instead of causing mid-execution failures.

Step 1: Analyze Scope

Identify the transformation and target scope:

  1. Parse the user's description to extract:
    • Transformation: What change to apply (e.g., "migrate from Jest to Vitest", "add error boundaries to all pages")
    • Target scope: Which files/modules to transform (e.g., src/modules/*/, **/*.test.ts)
  2. Scan the target scope with Glob/Grep to enumerate candidate files
  3. Verify each candidate is a valid transformation target

Step 2: Decompose

Split the scope into N independent units (max 10):

  1. Group files by natural boundaries (module, directory, feature area)
  2. Verify independence — units must NOT share files (a file belongs to exactly one unit)
  3. For each unit, define:
    • Files: List of files in this unit
    • Prompt: Focused transformation instruction for this unit
    • Success criteria: How to verify the transformation worked (tests pass, type-checks, lint clean)

Present the decomposition table to the user:

Unit | Files        | Description
-----|-------------|------------------------------------------
1    | src/auth/*  | Migrate auth module tests from Jest to Vitest
2    | src/billing/*| Migrate billing module tests from Jest to Vitest
...

Ask for confirmation before proceeding. The user may adjust units, exclude files, or modify the transformation.

Step 3: Execute in Parallel

Spawn up to 10 agents in parallel, each with isolation: "worktree":

For each unit:
  Agent(
    isolation: "worktree",
    prompt: "Transform these files: [file list]. Apply: [transformation]. Success: [criteria]. Do NOT modify files outside your scope."
  )

Read the full file on GitHub · 128 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. 6d ago First seen · 128 lines · 50 tokens per session scan A 8b7832569d61

Subscribe to this mod's changes

batch is a skill published in the GitHub repository hamzaPixl/pixl-ai (2 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 1,303 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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