Borrowing it
Nothing to install: this file belongs to mlaurel/mcp-workflow-engine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mlaurel/mcp-workflow-engine/main/AGENTS.mdgit clone --depth 1 https://github.com/mlaurel/mcp-workflow-engineWrote 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.
[](https://agentmods.dev/instructions/mlaurel/mcp-workflow-engine/agents-md)<a href="https://agentmods.dev/instructions/mlaurel/mcp-workflow-engine/agents-md"><img src="https://agentmods.dev/badge/instructions/mlaurel/mcp-workflow-engine/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/mlaurel/mcp-workflow-engine/agents-md"><img src="https://agentmods.dev/badge/instructions/mlaurel/mcp-workflow-engine/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02134 | $0.02134 |
| Opus 5.5 | $0.00854 | $0.00854 |
| Sonnet 5.5 | $0.00427 | $0.00427 |
| Haiku 4.5 | $0.00213 | $0.00213 |
Grade A, and why
mcp-workflow-engine AGENTS.md 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🤖 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
📋 Navigation & Discovery
playbook/prompt-playbook.md- MAIN NAVIGATOR - complete workflow guide and decision matrixREADME.md- Public documentation and MCP server setup guide- MCP Server - AI-powered workflow discovery
- Production: https://agents-playbook.vercel.app/api/mcp
- Local Dev: http://localhost:3000/api/mcp
🎯 Core Architecture
🔧 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)
- project-initialization.yml - New project setup (5 steps)
🧱 Mini-Prompts Library (playbook/mini-prompts/)
Business Phase (business/)
gather-requirements.md- Requirements collection and analysisdocument-decisions.md- Decision documentation and rationale
Analysis Phase (analysis/)
feature-analysis.md- Feature scope and impact analysisarchitecture-analysis.md- System architecture evaluationcode-analysis.md- Code quality and structure analysistrace-bug-root-cause.md- Bug investigation and root cause analysis
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.
- 2mo ago First seen · 236 lines · 2,134 tokens per session scan A 5282cc363bc0
mcp-workflow-engine AGENTS.md is an instructions file published in the GitHub repository mlaurel/mcp-workflow-engine (0 stars, last pushed 1y ago), licensed MIT. It adds 2,134 tokens to every session, about $0.0085 per session on Opus 5.5. 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.
mcp-workflow-engine AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcp-workflow-engine AGENTS.mdmlaurel/mcp-workflow-engine | Instructions file | 0 | 1y ago | MIT | A | 2,134 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |