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/teomarcdhio/okf-mcp/copilot-instructionsgit clone --depth 1 https://github.com/teomarcdhio/okf-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/teomarcdhio/okf-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/teomarcdhio/okf-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/teomarcdhio/okf-mcp/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 5.1 | $0.00647 | $0.00647 |
| Opus 5 | $0.00324 | $0.00324 |
| Sonnet 5 | $0.00129 | $0.00129 |
| Haiku 4.5 | $0.00065 | $0.00065 |
Grade A, and why
okf-mcp 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 5d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OKF MCP Server — Copilot Instructions
This project implements an MCP (Model Context Protocol) server for the Open Knowledge Format (OKF) v0.1 specification. It allows LLMs to manage a persistent knowledge bundle as structured long-term memory.
Key References
Project Layout
src/okf_mcp/
├── __init__.py — exports `mcp`
└── server.py — FastMCP server with all tools
bundle/ — Default OKF knowledge bundle (git-tracked)
├── index.md — Bundle root index (okf_version: "0.1")
└── log.md — Auto-created by append_log_entry
Technology Stack
- Python 3.11+ with UV for dependency management
- FastMCP 2.x — MCP server framework
- python-frontmatter — YAML frontmatter parsing/serialization
- uv_build — Build backend
OKF Concepts
Every .md file in the bundle (except index.md and log.md) is a concept
with this structure:
---
type: <Type> # REQUIRED
title: <string>
description: <string>
resource: <uri>
tags: [tag1, tag2]
timestamp: <iso8601>
---
# Markdown body
Available MCP Tools
| Tool | Description |
|---|---|
list_concepts |
List concepts in the bundle or a subdirectory |
get_concept |
Read a full concept document |
search_concepts |
Full-text + tag + type search |
get_index |
Read an index.md file |
get_log |
Read a log.md file |
create_concept |
Create a new concept (fails if exists) |
update_concept |
Update body and/or frontmatter |
delete_concept |
Delete a concept |
update_index |
Write a custom index.md |
generate_index |
Auto-generate index.md from frontmatter |
append_log_entry |
Append a dated entry to log.md |
Security Notes
- All file paths are validated to stay within
BUNDLE_ROOT(path traversal prevention) - Reserved filenames (
index.md,log.md) are protected from concept operations OKF_BUNDLE_PATHenv var configures the bundle location (default:./bundle)
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.
- 5d ago First seen · 84 lines · 647 tokens per session scan A cdab59cc09dc
okf-mcp copilot-instructions.md is an instructions file published in the GitHub repository teomarcdhio/okf-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 647 tokens to every session, about $0.0032 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.
Other instructions, from other repositories
aeon CLAUDE.md
Claude Code instructions for aeonfun/aeon, covering aeon, how aeon works, strategy, voice and soul file hierarchy (read in this order).
cognirepo CLAUDE.md
Claude Code instructions for ashlesh-t/cognirepo, covering claude.md, key rules, session start sequence (run in this order), behavioral confirmation rule and personas (cognirepo-402, cognirepo-403).
wayland-core copilot-instructions.md
Copilot instructions for FerroxLabs/wayland-core, covering ijfw rules, output discipline, memory routing, context discipline and cross-audit.
mcp-structured-memory CLAUDE.md
Claude Code instructions for nmeierpolys/mcp-structured-memory, a project described as: Structured Memory MCP Server.
inkwell-memory CLAUDE.md
Instructions for veronchenko/inkwell-memory, covering claude.md — inkwellmemory, layout, multi-tenant mode (inkwellmultitenant=1), conventions and testing.
RNR-Enhanced-Cognee AGENTS.md
AGENTS.md instructions for vincentspereira/RNR-Enhanced-Cognee, covering rnr enhanced cognee implementation for codex, critical requirements, 1. ascii-only output (no unicode encoding), 2. dynamic categories (no hardcoded categories) and 3. standard memory mcp interface.