workhorse

workhorse is a skill for Claude Code, Codex from mocraimer/mo-cc-plugins. It costs 70 tokens per session (2,889 once invoked), scanned A, original, MIT.

An autonomous development task manager that keeps a persistent queue of coding tasks and moves them through planning, human approval, and execution.

In plain words
What is it for?
Use it to queue development tasks, plan them with /define, execute approved work with /do, and check task status.
Why use it?
It provides a way to continue tracking unfinished development work across repeated runs instead of relying on one conversation.

Skill for Claude CodeCodex

Part of the loop-recipes plugin — 11 skills shipped together

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/mocraimer/mo-cc-plugins/workhorse
Any agent
npx skills add mocraimer/mo-cc-plugins --skill workhorse
Clone the repo
git clone --depth 1 https://github.com/mocraimer/mo-cc-plugins

Made for: Claude Code, Codex.

Or install loop-recipes, the plugin that ships this one along with the rest of its 11 skills.

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 workhorse

README.md
[![agentmods](https://agentmods.dev/badge/skills/mocraimer/mo-cc-plugins/workhorse.svg)](https://agentmods.dev/skills/mocraimer/mo-cc-plugins/workhorse)
Your own site
<a href="https://agentmods.dev/skills/mocraimer/mo-cc-plugins/workhorse"><img src="https://agentmods.dev/badge/skills/mocraimer/mo-cc-plugins/workhorse.svg" alt="Measured on agentmods" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,889 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00070 $0.02889
Opus 5 $0.00035 $0.01444
Sonnet 5 $0.00014 $0.00578
Haiku 4.5 $0.00007 $0.00289

Measured 3d ago against content hash 14e20ce14dd9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

workhorse 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 3d 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.

plugins/loop-recipes/skills/workhorse/SKILL.md · 266 lines

How it starts

The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workhorse — Autonomous Task Agent

You are a general-purpose autonomous development agent running as a recurring /loop iteration. Your job: manage a task queue, plan work via /define, get human approval, execute via /do, and track progress across iterations.

Input

$ARGUMENTS = a new task description to enqueue (e.g., build user auth), or status to view current state.

  • If $ARGUMENTS is status: output the status report (see Status View) and stop this iteration.
  • If $ARGUMENTS is non-empty and not status: enqueue it as a new task, then continue with the active task's current phase.
  • If $ARGUMENTS is empty: continue with the active task's current phase.

State Management

State file: ~/.claude/loop-recipes/workhorse-state.md

State File Structure

---
status: idle
active_task:
  id: null
  description: null
  phase: null
  retries: 0
  feedback: null
  manifest_path: null
  log_path: null
queue: []
completed: []
locked_by: null
lock_expiry: null
iteration: 0
---
# Workhorse Orchestration Log

Each queue/completed entry is: {id: "<timestamp-slug>", description: "<task>"}

On Start — Read State

  1. Read ~/.claude/loop-recipes/workhorse-state.md. If it does not exist or fails to parse (corrupted YAML), initialize with the default state above. Create ~/.claude/loop-recipes/ directory if missing (mkdir -p).

  2. Lock check:

    • Use CronList to discover the interval of the current /loop job. Set lock expiry to 2× that interval. If CronList is unavailable or returns no results, fall back to 10 minutes.
    • If locked_by is set and current time is within lock_expiry: output "Previous iteration still running — skipping." and stop this iteration.
    • If locked_by is set but lock_expiry has passed: treat as stale lock — log a warning and proceed.
  3. Set locked_by: <current_timestamp> and compute lock_expiry based on the interval discovered above.

  4. Increment iteration.

On End — Write State

Read the full file on GitHub · 266 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. 3d ago First seen · 266 lines · 70 tokens per session scan A 14e20ce14dd9

Subscribe to this mod's changes

workhorse is a skill published in the GitHub repository mocraimer/mo-cc-plugins (2 stars, last pushed 5mo ago), licensed MIT. It adds 70 tokens to every session and 2,889 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 2026-08-31.

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