KnowledgeMCP copilot-instructions.md

A project guide for developing KnowledgeMCP, a Python 3.11 or newer knowledge server. It records the project structure, commands, technologies, and coding style.

In plain words
What is it for?
Running tests with pytest, checking code with Ruff, and making changes in the KnowledgeMCP Python project.
Why use it?
It gives an agent the project’s current development context instead of requiring it to infer the setup from the source code.

Instructions file for GitHub Copilot

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/maxzrff/knowledgemcp/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/maxzrff/KnowledgeMCP

Made for: GitHub Copilot.

Per session 153 This file is loaded in full into every session.
When invoked 153 The same file — 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 $0.00153 $0.00153
Opus 5 $0.00077 $0.00077
Sonnet 5 $0.00031 $0.00031
Haiku 4.5 $0.00015 $0.00015

Measured 2d ago against content hash d24736e94a77, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

KnowledgeMCP 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 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.

.github/copilot-instructions.md · 30 lines

What it actually says

KnowledgeMCP Development Guidelines

Auto-generated from all feature plans. Last updated: 2025-10-26

Active Technologies

  • Python 3.11+ (001-mcp-knowledge-server)

Project Structure

src/
tests/

Commands

cd src [ONLY COMMANDS FOR ACTIVE TECHNOLOGIES][ONLY COMMANDS FOR ACTIVE TECHNOLOGIES] pytest [ONLY COMMANDS FOR ACTIVE TECHNOLOGIES][ONLY COMMANDS FOR ACTIVE TECHNOLOGIES] ruff check .

Code Style

Python 3.11+: Follow standard conventions

Recent Changes

  • 001-mcp-knowledge-server: Added Python 3.11+
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 · 30 lines · 153 tokens per session scan A d24736e94a77

Subscribe to this mod's changes

KnowledgeMCP copilot-instructions.md is an instructions file published in the GitHub repository maxzrff/KnowledgeMCP (7 stars, last pushed 9mo ago), licensed MIT. It adds 153 tokens to every session, about $0.0008 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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