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.
npx skills add catlog22/Claude-Code-Workflow --skill workflow-lite-executegit clone --depth 1 https://github.com/catlog22/Claude-Code-WorkflowWrote 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.
[](https://agentmods.dev/skills/catlog22/claude-code-workflow/workflow-lite-execute)<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/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.
<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="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.05643 |
| Opus 5.5 | $0.00010 | $0.02257 |
| Sonnet 5.5 | $0.00005 | $0.01129 |
| Haiku 4.5 | $0.00003 | $0.00564 |
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 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.
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: UseplanObjectdirectly → runselectExecutionOptions()isPlanJson === false: Treat as prompt (same as Mode 2)
User Selection (Mode 2/3 shared)
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.
- 1mo ago First seen · 573 lines · 26 tokens per session scan A d6fff04541c5
workflow-lite-execute is a skill published in the GitHub repository catlog22/Claude-Code-Workflow (2,124 stars, last pushed 4mo ago), licensed MIT. It adds 26 tokens to every session and 5,643 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 2026-09-03.
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