Borrowing it
Nothing to install: this file belongs to jmeyer1980/neurodivergent-memory. 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/jmeyer1980/neurodivergent-memory/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/jmeyer1980/neurodivergent-memoryWrote 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/jmeyer1980/neurodivergent-memory/copilot-instructions)<a href="https://agentmods.dev/instructions/jmeyer1980/neurodivergent-memory/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/jmeyer1980/neurodivergent-memory/copilot-instructions/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/jmeyer1980/neurodivergent-memory/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/jmeyer1980/neurodivergent-memory/copilot-instructions.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 | $0.01325 | $0.01325 |
| Opus 5.5 | $0.00530 | $0.00530 |
| Sonnet 5.5 | $0.00265 | $0.00265 |
| Haiku 4.5 | $0.00133 | $0.00133 |
Grade A, and why
neurodivergent-memory 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 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
neurodivergent-memory — Agent Bootstrap Instructions
This file is automatically read by GitHub Copilot and compatible agents at the start of every session.
It replaces the need to fetch the governance memory (memory_11) before working with this MCP server.
What this server is
neurodivergent-memory is a Model Context Protocol (MCP) server that stores and retrieves memories as a
knowledge graph. It is designed for neurodivergent thinking patterns: non-linear, associative, tag-rich.
Memories are organised into five districts (knowledge domains) and connected via bidirectional edges. Search uses BM25 semantic ranking — no embedding model or cloud LLM required.
Canonical Tag Schema
Always apply tags from the five namespaces below when calling store_memory.
Multiple tags from different namespaces are expected on every memory.
When storing execution-heavy memories, include the reasoning behind the action and, when possible, connect the entry to a durable principle in logical_analysis or creative_synthesis so future retrieval preserves understanding and not just activity.
| Namespace | Purpose | Examples |
|---|---|---|
topic:X |
Subject matter / domain | topic:unity-ecs, topic:adhd-strategies, topic:rust-async |
scope:X |
Breadth of the memory | scope:concept, scope:project, scope:session, scope:global |
kind:X |
Type of knowledge | kind:insight, kind:decision, kind:pattern, kind:reference, kind:task |
layer:X |
Abstraction level | layer:architecture, layer:implementation, layer:debugging, layer:research |
persistence:X |
Sync tier eligibility | persistence:durable (promote to user/org), persistence:ephemeral (project-only) |
Example tag set for a Unity ECS memory:
["topic:unity-ecs", "topic:dots", "scope:project", "kind:pattern", "layer:architecture"]
Example tag set for a cross-project durable memory:
["topic:typescript", "scope:global", "kind:pattern", "layer:architecture", "persistence:durable"]
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 · 119 lines · 1,325 tokens per session scan A 570a348e435d
neurodivergent-memory copilot-instructions.md is an instructions file published in the GitHub repository jmeyer1980/neurodivergent-memory (24 stars, last pushed today), licensed MIT. It adds 1,325 tokens to every session, about $0.0053 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 2026-08-30.
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