source-command-sparc-batch-executor

source-command-sparc-batch-executor is a skill for Claude Code, Codex from ayushcodes10/echo-mem. It costs 22 tokens per session (345 once invoked), scanned A, original, Apache-2.0.

A batch-execution mode for carrying out many file or coding tasks concurrently. It supports parallel reading, writing, editing, transformations, and multi-step processing.

In plain words
What is it for?
Use it to process multiple files, apply bulk edits, update files in parallel, run concurrent tasks, and coordinate staged processing pipelines.
Why use it?
It reduces repetitive manual work when the same kind of change must be applied across many files or tasks. Progress tracking helps show how the batch is proceeding.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions Codex.

Good fit Use it to process multiple files, apply bulk edits, update files in parallel, run concurrent tasks, and coordinate staged processing pipelines.

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Install with agentmods
npx agentmods add skills/ayushcodes10/echo-mem/source-command-sparc-batch-executor
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 ayushcodes10/echo-mem --skill source-command-sparc-batch-executor
Clone the repo
git clone --depth 1 https://github.com/ayushcodes10/echo-mem

Made for: Claude Code, 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.

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README.md
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Your own site
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agentmods 80×15 button for source-command-sparc-batch-executor

Your own site · 80×15
<a href="https://agentmods.dev/skills/ayushcodes10/echo-mem/source-command-sparc-batch-executor"><img src="https://agentmods.dev/badge/skills/ayushcodes10/echo-mem/source-command-sparc-batch-executor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 345 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.
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 $0.00022 $0.00345
Opus 5.5 $0.00009 $0.00138
Sonnet 5.5 $0.00004 $0.00069
Haiku 4.5 $0.00002 $0.00034

Measured 1mo ago against content hash 7a16d295fd19, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

source-command-sparc-batch-executor 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 1mo 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.

.agents/skills/source-command-sparc-batch-executor/SKILL.md · 66 lines

What it actually says

source-command-sparc-batch-executor

Use this skill when the user asks to run the migrated source command sparc-batch-executor.

Command Template

SPARC Batch Executor Mode

Purpose

Parallel task execution specialist using batch operations.

Activation

Option 1: Using MCP Tools (Preferred in Codex)

mcp__claude-flow__sparc_mode {
  mode: "batch-executor",
  task_description: "process multiple files",
  options: {
    parallel: true,
    batch_size: 10
  }
}

Option 2: Using NPX CLI (Fallback when MCP not available)

# Use when running from terminal or MCP tools unavailable
npx Codex-flow sparc run batch-executor "process multiple files"

# For alpha features
npx Codex-flow@alpha sparc run batch-executor "process multiple files"

Option 3: Local Installation

# If Codex-flow is installed locally
./Codex-flow sparc run batch-executor "process multiple files"

Core Capabilities

  • Parallel file operations
  • Concurrent task execution
  • Resource optimization
  • Load balancing
  • Progress tracking

Execution Patterns

  • Parallel Read/Write operations
  • Concurrent Edit operations
  • Batch file transformations
  • Distributed processing
  • Pipeline orchestration

Performance Features

  • Dynamic resource allocation
  • Automatic load balancing
  • Progress monitoring
  • Error recovery
  • Result aggregation
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. 1mo ago First seen · 66 lines · 22 tokens per session scan A 7a16d295fd19

Subscribe to this mod's changes

source-command-sparc-batch-executor is a skill published in the GitHub repository ayushcodes10/echo-mem (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 345 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-12.