workflow-lite-execute

workflow-lite-execute is a skill for Claude Code, Codex from catlog22/Claude-Code-Workflow. It costs 26 tokens per session (5,643 once invoked), scanned A, original, MIT.

Lightweight execution engine - multi-mode input, task grouping, batch execution, chain to workflow-lite-test-review.

Skill for Claude CodeCodex

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/catlog22/claude-code-workflow/workflow-lite-execute
Any agent
npx skills add catlog22/Claude-Code-Workflow --skill workflow-lite-execute
Clone the repo
git clone --depth 1 https://github.com/catlog22/Claude-Code-Workflow

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.

agentmods badge for workflow-lite-execute

README.md
[![agentmods](https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/workflow-lite-execute.svg)](https://agentmods.dev/skills/catlog22/claude-code-workflow/workflow-lite-execute)
Your own site
<a href="https://agentmods.dev/skills/catlog22/claude-code-workflow/workflow-lite-execute"><img src="https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/workflow-lite-execute.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,643 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00026 $0.05643
Opus 5 $0.00013 $0.02821
Sonnet 5 $0.00005 $0.01129
Haiku 4.5 $0.00003 $0.00564

Measured yesterday against content hash d6fff04541c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

workflow-lite-execute 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 yesterday.

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.

.claude/skills/workflow-lite-execute/SKILL.md · 573 lines

How it starts

The opening of the file, as written. The whole thing — 573 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workflow-Lite-Execute

Execution engine for workflow-lite-plan handoff and standalone task execution.


Usage

<input>                    Task description string, or path to file (required)
Flag Description
--in-memory Mode 1: Use executionContext from workflow-lite-plan handoff (via Skill({ skill: "workflow-lite-execute", args: "--in-memory" })

Input Modes

Mode 1: In-Memory Plan

Trigger: --in-memory flag or executionContext global variable available

Input Source: executionContext global variable set by workflow-lite-plan

Behavior: Skip execution method/code review selection (already chosen in LP-Phase 4), directly proceed with full context (exploration, clarifications, plan artifacts all available)

Note: LP-Phase 4 is the single confirmation gate. Mode 1 invocation means user already approved — no further prompts.

Mode 2: Prompt Description

Trigger: User calls with task description string (e.g., "Add unit tests for auth module")

Behavior: Store prompt as originalUserInput → create simple execution plan → run selectExecutionOptions() → proceed

Mode 3: File Content

Trigger: User calls with file path (ends with .md/.json/.txt)

fileContent = Read(filePath)
try {
  jsonData = JSON.parse(fileContent)
  // plan.json detection: two-layer format with task_ids[]
  if (jsonData.summary && jsonData.approach && jsonData.task_ids) {
    planObject = jsonData
    originalUserInput = jsonData.summary
    isPlanJson = true
    const planDir = filePath.replace(/[/\\][^/\\]+$/, '')
    planObject._loadedTasks = loadTaskFiles(planDir, jsonData.task_ids)
  } else {
    originalUserInput = fileContent
    isPlanJson = false
  }
} catch {
  originalUserInput = fileContent
  isPlanJson = false
}
  • isPlanJson === true: Use planObject directly → run selectExecutionOptions()
  • isPlanJson === false: Treat as prompt (same as Mode 2)

User Selection (Mode 2/3 shared)

Read the full file on GitHub · 573 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. yesterday First seen · 573 lines · 26 tokens per session scan A d6fff04541c5

Subscribe to this mod's changes

workflow-lite-execute is a skill published in the GitHub repository catlog22/Claude-Code-Workflow (2,133 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 5,643 once invoked, about $0.0001 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 2026-09-03.

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