workflow-lite-plan

workflow-lite-plan is a skill for Claude Code, Codex from catlog22/Claude-Code-Workflow. It costs 27 tokens per session (7,064 once invoked), scanned A, original, MIT.

Lightweight planning skill - task analysis, multi-angle exploration, clarification, adaptive planning, confirmation, and execution handoff.

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-plan
Any agent
npx skills add catlog22/Claude-Code-Workflow --skill workflow-lite-plan
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-plan.svg)](https://agentmods.dev/skills/catlog22/claude-code-workflow/workflow-lite-plan)
Your own site
<a href="https://agentmods.dev/skills/catlog22/claude-code-workflow/workflow-lite-plan"><img src="https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/workflow-lite-plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,064 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 $0.00027 $0.07064
Opus 5 $0.00014 $0.03532
Sonnet 5 $0.00005 $0.01413
Haiku 4.5 $0.00003 $0.00706

Measured today against content hash a84e90878edc, 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-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 today.

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-plan/SKILL.md · 682 lines

How it starts

The opening of the file, as written. The whole thing — 682 lines — stays where its author put it; the contents beside it link to each section on GitHub.

1. Context Isolation

CRITICAL: If invoked from analyze-with-file or brainstorm-with-file, the prior session is COMPLETE and all its phase instructions are FINISHED and MUST NOT be referenced. Only follow LP-Phase 1-5 defined in THIS document. Phase numbers are INDEPENDENT of any prior workflow.

2. Input

<task-description>         Task description or path to .md file (required)
Flag Description
-y, --yes Auto mode: Skip clarification, auto-confirm plan, auto-select execution, skip review (entire plan+execute workflow)
--force-explore Force code exploration even when task has prior analysis

Note: Workflow preferences (autoYes, forceExplore) must be initialized at skill start. If not provided by caller, skill will prompt user for workflow mode selection.

3. Output Artifacts

Artifact Description
exploration-{angle}.json Per-angle exploration results (1-4 files based on complexity)
explorations-manifest.json Index of all exploration files
planning-context.md Evidence paths + synthesized understanding
plan.json Plan overview with task_ids[] (plan-overview-base-schema.json)
.task/TASK-*.json Independent task files (one per task)

Output Directory: .workflow/.lite-plan/{task-slug}-{YYYY-MM-DD}/

Agent Usage: All complexities → cli-lite-planning-agent

Schema Reference: ~/.ccw/workflows/cli-templates/schemas/plan-overview-base-schema.json

4. Phase Summary

Phase Core Action Output
LP-0 Initialize workflowPreferences autoYes, forceExplore
LP-1 Complexity assessment → parallel cli-explore-agents (1-4) exploration-*.json + manifest
LP-2 Aggregate + dedup clarification_needs → multi-round AskUserQuestion clarificationContext (in-memory)
LP-3 cli-lite-planning-agent plan.json + .task/TASK-*.json
LP-4 Display plan → AskUserQuestion (Confirm + Execution + Review) userSelection
LP-5 Build executionContext → Skill("workflow-lite-execute") handoff (Mode 1)

Read the full file on GitHub · 682 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. today First seen · 682 lines · 27 tokens per session scan A a84e90878edc

Subscribe to this mod's changes

workflow-lite-plan is a skill published in the GitHub repository catlog22/Claude-Code-Workflow (2,133 stars, last pushed 2mo ago), licensed MIT. It adds 27 tokens to every session and 7,064 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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