workflow-lite-plan

workflow-lite-plan is a skill for Claude Code, Codex from catlog22/Claude-Code-Workflow. It costs 55 tokens per session (10,820 once invoked), scanned A, original, MIT.

An exploration-first workflow that investigates a codebase in parallel, turns findings into implementation tasks, and then executes those tasks in waves.

In plain words
What is it for?
Use it to break down features, explore different parts of a project, create linked execution tasks, and run them with several agents.
Why use it?
It connects codebase discovery with planning and implementation, reducing the gap between understanding a requirement and starting the work.

Skill for Claude CodeCodex

Written for Claude Code and Codex: allowed-tools in frontmatter, but also installed under .codex/. Also seen: $skill-name invocation.

Good fit Use it to break down features, explore different parts of a project, create linked execution tasks, and run them with several agents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/catlog22/claude-code-workflow/workflow-lite-planex
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 catlog22/Claude-Code-Workflow --skill workflow-lite-planex
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-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/workflow-lite-planex/github.svg)](https://agentmods.dev/skills/catlog22/claude-code-workflow/workflow-lite-planex)
Your own site
<a href="https://agentmods.dev/skills/catlog22/claude-code-workflow/workflow-lite-planex"><img src="https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/workflow-lite-planex/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 workflow-lite-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/catlog22/claude-code-workflow/workflow-lite-planex"><img src="https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/workflow-lite-planex.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,820 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 $0.00055 $0.10820
Opus 5.5 $0.00022 $0.04328
Sonnet 5.5 $0.00011 $0.02164
Haiku 4.5 $0.00006 $0.01082

Measured 1mo ago against content hash 8596ebe8b9cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

workflow-lite-plan 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.

.codex/skills/workflow-lite-planex/SKILL.md · 1,145 lines

How it starts

The opening of the file, as written. The whole thing — 1,145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Auto Mode

When --yes or -y: Auto-confirm decomposition, skip interactive validation, use defaults.

Workflow Lite Planex

Usage

$workflow-lite-plan "Implement user authentication with OAuth, JWT, and 2FA"
$workflow-lite-plan -c 4 "Refactor payment module with Stripe and PayPal"
$workflow-lite-plan -y "Build notification system with email and SMS"
$workflow-lite-plan --continue "auth-20260228"

Flags:

  • -y, --yes: Skip all confirmations (auto mode)
  • -c, --concurrency N: Max concurrent agents within each wave (default: 4)
  • --continue: Resume existing session

Output Directory: .workflow/.lite-plan/{session-id}/


Overview

Explore-first wave-based pipeline using spawn_agents_on_csv. Two-stage CSV execution: explore.csv (codebase discovery) → tasks.csv (implementation), with cross-phase context propagation via context_from linking (E* → T*).

Core workflow: Decompose → [Confirm] → Wave Explore → Synthesize & Plan → [Confirm] → Wave Execute → Aggregate

┌──────────────────────────────────────────────────────────────────────┐
│                    WORKFLOW LITE PLANEX                               │
├──────────────────────────────────────────────────────────────────────┤
│                                                                      │
│  Phase 1: Requirement → explore.csv                                  │
│     ├─ Analyze complexity → select exploration angles (1-4)          │
│     ├─ Generate explore.csv (1 row per angle)                        │
│     └─ ⛔ MANDATORY: User validates (skip ONLY if -y)                 │
│                                                                      │
│  Phase 2: Wave Explore (spawn_agents_on_csv)                         │
│     ├─ For each explore wave:                                        │
│     │   ├─ Build wave CSV from explore.csv                           │
│     │   ├─ spawn_agents_on_csv(explore instruction template)         │
│     │   └─ Merge findings/key_files into explore.csv                 │
│     └─ discoveries.ndjson shared across agents                       │
│                                                                      │
│  Phase 3: Synthesize & Plan → tasks.csv                              │
│     ├─ Read all explore findings → cross-reference                   │
│     ├─ Resolve conflicts between angles                              │
│     ├─ Decompose into execution tasks with context_from: E*;T*       │
│     ├─ Compute dependency waves (topological sort)                   │
│     └─ ⛔ MANDATORY: User validates (skip ONLY if -y)                 │
│                                                                      │
│  Phase 4: Wave Execute (spawn_agents_on_csv)                         │
│     ├─ For each task wave:                                           │
│     │   ├─ Build prev_context from explore.csv + tasks.csv           │
│     │   ├─ Build wave CSV with prev_context column                   │
│     │   ├─ spawn_agents_on_csv(execute instruction template)         │
│     │   └─ Merge results into tasks.csv                              │
│     └─ discoveries.ndjson carries across all waves                   │
│                                                                      │
│  Phase 5: Aggregate                                                  │
│     ├─ Export results.csv                                            │
│     ├─ Generate context.md with all findings                         │
│     └─ Display summary                                               │
│                                                                      │
└──────────────────────────────────────────────────────────────────────┘

Read the full file on GitHub · 1,145 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. 1mo ago First seen · 1,145 lines · 55 tokens per session scan A 8596ebe8b9cd

Subscribe to this mod's changes

workflow-lite-plan is a skill published in the GitHub repository catlog22/Claude-Code-Workflow (2,124 stars, last pushed 4mo ago), licensed MIT. It adds 55 tokens to every session and 10,820 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

spawn-agent

Spawn worker agents (Gemini CLI or Codex CLI) to keep main context clean. Use for implementation, codebase research, context gathering, or any scoped work that would pollute the orchestrator's context.

khanhbkqt/spawn-agent · 46 tokens

newsroom-style

Apply AP Style and common newsroom conventions when writing or editing news articles, briefs, and headlines. Use when drafting publishable copy, editing contributor submissions, or converting informal notes into news-ready language.

jamditis/mooc-starter-kit · 43 tokens

beat-brief

Draft a short daily beat briefing from a folder of incoming source documents. Use when the reporter wants a five-bullet summary of the day's material with attribution flags and follow-up actions.

jamditis/mooc-starter-kit · 40 tokens

first-skill

Minimal skill template that students copy and customize to create their first Claude Code skill. Use this as the starting point when building a new custom skill for a specific beat or workflow.

jamditis/mooc-starter-kit · 39 tokens

skill-dispatcher

Universal MCP skill dispatcher for AI coding agents. Loads Claude Code, OpenCode, Cursor, Gemini-style, command, plain markdown, and GitHub-hosted skills on demand. Includes agent routing, active skill lifecycle tracking, external repo import, nested skill discovery, origin filtering, and hardened parsing for secure…

farhanic017/dynamic-skill-loader · 68 tokens

audit

Audit local Claude Code transcript usage and summarize likely token hotspots. Use when the user asks where Claude Code tokens are going or wants evidence before optimizing.

ictechgy/context-guard · 29 tokens