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.
npx agentmods add instructions/joelmnz/mcp-markdown-manager/copilot-instructionsgit clone --depth 1 https://github.com/joelmnz/mcp-markdown-managerWrote 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/joelmnz/mcp-markdown-manager/copilot-instructions)<a href="https://agentmods.dev/instructions/joelmnz/mcp-markdown-manager/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/joelmnz/mcp-markdown-manager/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.00878 | $0.00878 |
| Opus 5 | $0.00439 | $0.00439 |
| Sonnet 5 | $0.00176 | $0.00176 |
| Haiku 4.5 | $0.00088 | $0.00088 |
Grade A, and why
mcp-markdown-manager copilot-instructions.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 4d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Markdown Manager - AI Coding Instructions
Project Overview
This is a monolithic TypeScript full-stack application for AI-powered markdown article management. Stack: Bun runtime, React frontend, Node.js backend (API + MCP), PostgreSQL + pgvector database.
Quick Start Commands
Essential Commands
# Install dependencies
bun install
# Start Database (Required)
bun run dc:db # Starts Postgres container
bun run db:health # Verify DB connection
# Development (requires two terminals)
bun run dev:backend # Terminal 1 - Backend with auto-reload
bun run dev:frontend # Terminal 2 - Frontend dev server
# Build
bun run build # Builds frontend with hashed assets
# Type checking
bun run typecheck # TypeScript validation
# Testing (Individual scripts)
bun scripts/test-parsing.ts
bun scripts/test-import.ts
bun scripts/test-error-handling.ts
Environment Setup
Required environment variables (see .env.example):
AUTH_TOKEN: Bearer token for all interfaces (Web, API, MCP)DB_HOST,DB_PORT,DB_NAME,DB_USER,DB_PASSWORD: PostgreSQL configSEMANTIC_SEARCH_ENABLED: Enable/disable vector embeddings (default:false)MCP_SERVER_ENABLED: Enable/disable MCP server (default:true)
Architecture Patterns
Monolithic Structure
src/backend/
├── server.ts # Entry point (API, MCP, static)
├── services/ # Business logic
│ ├── articles.ts # Main facade (CRUD + Embeddings)
│ ├── databaseArticles.ts # DB operations
│ └── database.ts # DB connection pool
├── mcp/ # MCP protocol implementation
└── routes/ # REST API endpoints
Database-First with Compatibility Layer
- Storage: PostgreSQL is the source of truth.
- Compatibility:
services/articles.tsmaintains a file-like interface (Articletype) for backward compatibility. - Filenames: Virtual concept derived from
slug+.md. - Vector Search: Uses
pgvectorfor semantic search. Handled viaembedding.tsandvectorIndex.ts.
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.
- 4d ago First seen · 100 lines · 878 tokens per session scan A 995353ba7af3
mcp-markdown-manager copilot-instructions.md is an instructions file published in the GitHub repository joelmnz/mcp-markdown-manager (2 stars, last pushed 3mo ago), licensed MIT. It adds 878 tokens to every session, about $0.0044 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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