wf-player

wf-player is a skill for Claude Code, Codex from catlog22/Claude-Code-Workflow. It costs 75 tokens per session (1,289 once invoked), scanned A, original, MIT.

Workflow template player — load a JSON template produced by wf-composer, bind context variables, execute nodes in DAG order (serial/parallel), persist state at checkpoints, support resume from any checkpoint. Uses ccw-coordinator serial-blocking for CLI nodes and team-coordinate worker pattern for parallel agent…

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/wf-player.svg)](https://agentmods.dev/skills/catlog22/claude-code-workflow/wf-player)
Your own site
<a href="https://agentmods.dev/skills/catlog22/claude-code-workflow/wf-player"><img src="https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/wf-player.svg" alt="Measured on agentmods" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,289 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 $0.00075 $0.01289
Opus 5 $0.00037 $0.00645
Sonnet 5 $0.00015 $0.00258
Haiku 4.5 $0.00007 $0.00129

Measured today against content hash c709fb5dec67, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

wf-player 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-player/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workflow Run

Load a workflow template → bind variables → execute DAG → persist checkpoints → resume capable.

Architecture

Skill(skill="wf-player", args="<template> --context goal='...'")
  |
  +-- Phase 0: Entry Router
       |-- --list        -> list available templates, exit
       |-- --resume      -> load session, skip to Phase 3 (Execute)
       |-- --dry-run     -> load + show execution plan, no execution
       |-- default       -> Phase 1 (Load)
  |
  +-- Phase 1: Load & Bind
  |    Load template JSON, bind {variables} from --context, validate required vars
  |
  +-- Phase 2: Instantiate
  |    Init session state, topological sort, write WFR session file
  |
  +-- Phase 3: Execute Loop
  |    For each node in order:
  |      skill node   -> Skill(skill=...) [synchronous]
  |      cli node     -> ccw cli [background + stop, hook callback]
  |      command node -> Skill(skill="namespace:cmd") [synchronous]
  |      agent node   -> Agent(...) [run_in_background per node config]
  |      checkpoint   -> save state, optionally pause
  |
  +-- Phase 4: Complete
       Archive session, output summary

Shared Constants

Constant Value
Session prefix WFR
Session dir .workflow/sessions/WFR-<slug>-<date>/
State file session-state.json
Template dir .workflow/templates/
Template index .workflow/templates/index.json

Entry Router

Parse $ARGUMENTS:

Detection Condition Handler
List templates --list in args -> handleList
Resume session --resume <session-id> in args -> Phase 2 (resume)
Dry run --dry-run in args -> Phase 1 + 2, print plan, exit
Normal Template slug/path provided -> Phase 1
No args Empty args -> handleList + AskUserQuestion

handleList

Scan .workflow/templates/index.json. Display:

Available workflow templates:
  feature-tdd-review    [feature, complex]   3 work nodes, 2 checkpoints
  quick-bugfix          [bugfix, simple]     2 work nodes, 1 checkpoint
  ...

Run: Skill(skill="wf-player", args="<slug> --context goal='...'")

Read the full file on GitHub · 152 lines

Files

What ships with it

6 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 · 152 lines · 75 tokens per session scan A c709fb5dec67

Subscribe to this mod's changes

wf-player is a skill published in the GitHub repository catlog22/Claude-Code-Workflow (2,133 stars, last pushed 2mo ago), licensed MIT. It adds 75 tokens to every session and 1,289 once invoked, about $0.0004 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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