wf-composer

wf-composer is a skill for Claude Code, Codex from catlog22/Claude-Code-Workflow. It costs 55 tokens per session (1,188 once invoked), scanned A, original, MIT.

Semantic workflow composer — parse natural language workflow description into a DAG of skill/CLI/agent nodes, auto-inject checkpoint save nodes, confirm with user, persist as reusable JSON template. Triggers on "wf-composer " or "/wf-composer".

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/wf-composer
Any agent
npx skills add catlog22/Claude-Code-Workflow --skill wf-composer
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 wf-composer

README.md
[![agentmods](https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/wf-composer.svg)](https://agentmods.dev/skills/catlog22/claude-code-workflow/wf-composer)
Your own site
<a href="https://agentmods.dev/skills/catlog22/claude-code-workflow/wf-composer"><img src="https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/wf-composer.svg" alt="Measured on agentmods" 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 1,188 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 $0.00055 $0.01188
Opus 5 $0.00028 $0.00594
Sonnet 5 $0.00011 $0.00238
Haiku 4.5 $0.00006 $0.00119

Measured today against content hash ee8e863c720b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

wf-composer 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/wf-composer/SKILL.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workflow Design

Parse user's semantic workflow description → decompose into nodes → map to executors → auto-inject checkpoints → confirm pipeline → save as reusable workflow-template.json.

Architecture

User describes workflow in natural language
  -> Phase 1: Parse — extract intent steps + variables
  -> Phase 2: Resolve — map each step to executor (skill/cli/agent/command)
  -> Phase 3: Enrich — inject checkpoint nodes, set DAG edges
  -> Phase 4: Confirm — visualize pipeline, user approval/edit
  -> Phase 5: Persist — save .workflow/templates/<name>.json

Shared Constants

Constant Value
Session prefix WFD
Template dir .workflow/templates/
Template ID format wft-<slug>-<date>
Node ID format N-<seq> (e.g. N-001), CP-<seq> for checkpoints
Max nodes 20

Entry Router

Parse $ARGUMENTS.

Detection Condition Handler
Resume design --resume flag or existing WFD session -> Phase 0: Resume
Edit template --edit <template-id> flag -> Phase 0: Load + Edit
New design Default -> Phase 1: Parse

Phase 0: Resume / Edit (optional)

Resume design session:

  1. Scan .workflow/templates/design-drafts/WFD-*.json for in-progress designs
  2. Multiple found → AskUserQuestion for selection
  3. Load draft → skip to last incomplete phase

Edit existing template:

  1. Load template from --edit path
  2. Show current pipeline visualization
  3. AskUserQuestion: which nodes to modify/add/remove
  4. Re-enter at Phase 3 (Enrich) with edits applied

Phase 1: Parse

Read phases/01-parse.md and execute.

Objective: Extract structured semantic steps + context variables from natural language.

Success: design-session/intent.json written with: steps[], variables[], task_type, complexity.


Phase 2: Resolve

Read phases/02-resolve.md and execute.

Objective: Map each intent step to a concrete executor node.

Read the full file on GitHub · 154 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 154 lines · 55 tokens per session scan A ee8e863c720b

Subscribe to this mod's changes

wf-composer is a skill published in the GitHub repository catlog22/Claude-Code-Workflow (2,133 stars, last pushed 2mo ago), licensed MIT. It adds 55 tokens to every session and 1,188 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

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

optimize

Diagnose and reduce Claude Code token usage for a project or session using context hygiene, model and effort routing, MCP minimization, output trimming/sanitizing, subagent discipline, and measurement. Use when the user asks to lower Claude Code token usage, cost, context bloat, or usage-limit burn.

ictechgy/context-guard · 62 tokens

setup

Interactive or guided project setup for Claude Code token optimizer settings. Use when the user asks to install, configure, setup, enable hooks, or choose token-saving options interactively.

ictechgy/context-guard · 35 tokens

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