mcp-workflow-engine CLAUDE.md

Instructions for an AI-agent workflow repository that stores development processes as YAML files, reusable prompts, and a search service. They explain the repository layout, important files, and available workflows.

In plain words
What is it for?
Use them to navigate the repository and select workflows for feature development, product work, quick fixes, refactoring, or diagnosing failing tests.
Why use it?
They help an agent find the right process and understand where workflows, documentation, and the local or production search service are located.

Instructions file

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 instructions/mlaurel/mcp-workflow-engine/claude-md
Clone the repo
git clone --depth 1 https://github.com/mlaurel/mcp-workflow-engine
Per session 2,156 This file is loaded in full into every session.
When invoked 2,156 The same file โ€” it is already loaded in full.
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 $0.02156 $0.02156
Opus 5 $0.01078 $0.01078
Sonnet 5 $0.00431 $0.00431
Haiku 4.5 $0.00216 $0.00216

Measured 2d ago against content hash c880493b76cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp-workflow-engine CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories โ€” prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency โ€” measured 2d 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.

CLAUDE.md ยท 236 lines

How it starts

The opening of the file, as written. The whole thing โ€” 236 lines โ€” stays where its author put it; the contents beside it link to each section on GitHub.

๐Ÿค– AGENTS.MD

AI Agent Instructions for agents-playbook repository

Repository Overview

This is a production-ready workflow automation repository for AI agents in software development. It provides YAML-based workflows, modular mini-prompts, and AI-powered semantic search to help AI agents perform development tasks efficiently.

Key Files & Structure

๐Ÿ“‹ Navigation & Discovery

๐ŸŽฏ Core Architecture

๐Ÿ”ง YAML Workflows (playbook/workflows/)
  • feature-development.yml - Complete feature development lifecycle (14 steps)
  • product-development.yml - Product from idea to launch (15 steps)
  • quick-fix.yml - Bug fixes and hotfixes (4 steps)
  • code-refactoring.yml - Code architecture improvements (8 steps)
  • fix-tests.yml - Systematic test failure diagnosis and repair with refactoring integration (8 steps)
  • fix-circular-dependencies.yml - Comprehensive circular dependency resolution with architectural refactoring (7 steps)
  • unit-test-coverage.yml - Comprehensive unit test coverage improvement (7 steps)
  • trd-creation.yml - Technical Requirements Document creation (7 steps)
  • brd-creation.yml - Business Requirements with research (6 steps)
  • brd-to-trd-translation.yml - Business to technical translation (6 steps)
  • project-initialization.yml - New project setup (5 steps)
  • infrastructure-setup.yml - Infrastructure deployment (12 steps)
๐Ÿงฑ Mini-Prompts Library (playbook/mini-prompts/)

Business Phase (business/)

  • gather-requirements.md - Requirements collection and analysis
  • document-decisions.md - Decision documentation and rationale

Analysis Phase (analysis/)

  • feature-analysis.md - Feature scope and impact analysis
  • architecture-analysis.md - System architecture evaluation
  • code-analysis.md - Code quality and structure analysis
  • trace-bug-root-cause.md - Bug investigation and root cause analysis

Read the full file on GitHub ยท 236 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. 2d ago First seen ยท 236 lines ยท 2,156 tokens per session scan A c880493b76cb

Subscribe to this mod's changes

mcp-workflow-engine CLAUDE.md is an instructions file published in the GitHub repository mlaurel/mcp-workflow-engine (0 stars, last pushed 1y ago), licensed MIT. It adds 2,156 tokens to every session, about $0.0108 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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