Borrowing it
Nothing to install: this file belongs to gargoyle92/agentify-mcp. 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/gargoyle92/agentify-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/gargoyle92/agentify-mcpWrote 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/gargoyle92/agentify-mcp/claude-md)<a href="https://agentmods.dev/instructions/gargoyle92/agentify-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/gargoyle92/agentify-mcp/claude-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/gargoyle92/agentify-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/gargoyle92/agentify-mcp/claude-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 | $0.00857 | $0.00857 |
| Opus 5.5 | $0.00343 | $0.00343 |
| Sonnet 5.5 | $0.00171 | $0.00171 |
| Haiku 4.5 | $0.00086 | $0.00086 |
Grade A, and why
agentify-mcp CLAUDE.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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
Agentify MCP Server is a Model Context Protocol (MCP) server that provides task completion tracking and monitoring capabilities for AI clients. It offers basic webhook integration for external monitoring and implements a simple MCP server architecture.
Development Commands
# Development and Testing
npm run dev # Run server in development mode with tsx
npm run build # Compile TypeScript to dist/
npm start # Run production build from dist/
npm run typecheck # Type checking without compilation
npm run lint # ESLint code analysis
npm run lint:fix # Auto-fix ESLint issues
npm run format # Format code with Prettier
npm run format:check # Check Prettier formatting
# Testing
npm test # Run Jest tests (when implemented)
Core Architecture
MCP Protocol Integration
The server implements the MCP (Model Context Protocol) using @modelcontextprotocol/sdk. The main server class AgentifyMCPServer handles JSON-RPC 2.0 requests and provides tools to connected AI clients.
Key Components
AgentifyMCPServer (src/server/agentify-mcp-server.ts)
- Main MCP server implementation with stdio transport
- Handles Initialize, ListTools, and CallTool requests
- Integrates with webhook system for external monitoring
- Currently implements only the
task-completedtool
ToolHandlers (src/tools/tool-handlers.ts)
- Implements 3 MCP tools with Zod input validation:
task-started: Mark when a task beginsauto-task-tracker: Automatic task progress monitoringtask-completed: Mark task completion with outcome
- Uses structured response format with emojis for visual feedback
Logger (src/utils/logger.ts)
- Configurable logging with levels (error, warn, info, debug)
- Timestamp formatting and structured output
- Used throughout the application instead of console.log
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 · 123 lines · 857 tokens per session scan A 32c0458bc247
agentify-mcp CLAUDE.md is an instructions file published in the GitHub repository gargoyle92/agentify-mcp (1 stars, last pushed 1y ago), licensed MIT. It adds 857 tokens to every session, about $0.0034 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.