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state-memory-mcp: Instructions file for GitHub Copilot

.github/copilot-instructions.md

state-memory-mcp copilot-instructions.md is an instructions file for GitHub Copilot from putervision/state-memory-mcp. It costs 24,821 tokens per session, scanned B, original, MIT.

Project instructions for using a state-memory system that records tasks, decisions, dependencies, blockers, and work sessions as a connected graph. A graph here means linked records showing how pieces of project work relate.

In plain words
What is it for?
Use it before and during work on the state-memory-mcp project to start a session, inspect pending work and blockers, trace dependencies, and record tasks or decisions.
Why use it?
It keeps project state and decisions traceable across coding sessions instead of relying only on the current conversation.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file. Also seen: mentions Cursor.

This is putervision/state-memory-mcp's own configuration. It tells GitHub Copilot how to work on state-memory-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything state-memory-mcp configures →

not rated 42repo +4 changed 1mo ago B scan 24,821 tokens original MIT
View source ↗ putervision/state-memory-mcp statememorymcp.com
Reuse

Borrowing it

Nothing to install: this file belongs to putervision/state-memory-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.

Copy the file
curl -O https://raw.githubusercontent.com/putervision/state-memory-mcp/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/putervision/state-memory-mcp

Made for: GitHub Copilot.

Wrote this? Show the measurements

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Per session 24,821 This file is loaded in full into every session.
When invoked 24,821 The same file — it is already loaded in full.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.24821 $0.24821
Opus 5.5 $0.09928 $0.09928
Sonnet 5.5 $0.04964 $0.04964
Haiku 4.5 $0.02482 $0.02482

Measured 1mo ago against content hash 0f221cb6d923, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

state-memory-mcp copilot-instructions.md scanned grade B with 1 finding 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 1mo 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

* **Google Antigravity (`~/.gemini/config/config.json`)**: Add these rules to your `"globalPermissionGrants"` -> `"allow"` list:
Origin

Copies of this mod

3 near-identical copies found in the catalogue:

.github/copilot-instructions.md · 1,048 lines

How it starts

The opening of the file, as written. The whole thing — 1,048 lines — stays where its author put it; the contents beside it link to each section on GitHub.

State Memory (state-memory-mcp)

This project tracks workflow state, tasks, design decisions, and blockers using state-memory-mcp with project slug "state-memory-mcp".

1. Priority Order

Before doing any coding or investigation:

  1. manage_sessions(action: "start") — Start a tracking session for full change attribution.
  2. get_analytics(action: "summary") — Run to understand current project state, active branches, and overall progress.
  3. manage_tasks(action: "next") — Query prioritized runnable tasks.
  4. manage_tasks(action: "find_blockers") — Identify any active blockers preventing progress.
  5. manage_nodes(action: "list") — Find pending tasks, past decisions, or milestones.
  6. query_graph(action: "trace") — Trace what depends on or blocks a task.

2. When to Write to the Graph

You MUST update the graph as you work:

  • Starting a session: Always call manage_sessions(action: "start", agent_id: "my-agent") to track all mutations under a unique session.
  • Starting a new task: Create a node with manage_nodes(action: "create", type: "task", title: "...", session_id: session_id).
  • Making a design or implementation decision: Document it with manage_nodes(action: "create", type: "decision", title: "...", metadata: { "rationale": "..." }, session_id: session_id).
  • Connecting UI tasks to visual states: Use manage_edges(action: "link_visual", target_id: task_id, visual_state_id: vs_id, relationship: "renders_state").
  • Encountering a blocker: Record the blocker with manage_nodes(action: "create", type: "blocker", ..., session_id: session_id) and connect it using manage_edges(action: "add", type: "blocks", source_id: blocker_id, target_id: task_id, session_id: session_id).
  • Adding observation notes: Atomically log notes using manage_nodes(action: "add_note", text: "...", attach_to: node_id).
  • Batch updates: Bulk update tasks/nodes using manage_nodes(action: "batch_update", ids: ["..."], status: "done").
  • Observability & Trajectories: Check manage_data(action: "export_synergy_metrics") for combined token savings & health, and manage_data(action: "export_joint_trajectories") for interleaved fine-tuning datasets.
  • Completing a task: Update status to done using manage_tasks(action: "complete", task_id: task_id).
  • Creating/generating a new file: Create an artifact node with manage_nodes(action: "create", type: "artifact", ..., session_id: session_id) and connect it using manage_edges(action: "add", type: "produces", ..., session_id: session_id).

Read the full file on GitHub · 1,048 lines

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. 1mo ago Changed · +216 lines · +5,298 tokens per session 0f221cb6d923
  2. 1mo ago Changed · +221 lines · +5,406 tokens per session 54017e4cebde
  3. 1mo ago Changed · +396 lines · +9,713 tokens per session 1d4c99a01f1c
  4. 1mo ago Changed · +134 lines · +2,583 tokens per session c6a2ff905941
  5. 2mo ago First seen · 81 lines · 1,821 tokens per session scan B fd7045602ec1

Subscribe to this mod's changes

state-memory-mcp copilot-instructions.md is an instructions file published in the GitHub repository putervision/state-memory-mcp (42 stars, last pushed 1mo ago), licensed MIT. It adds 24,821 tokens to every session, about $0.0993 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Memory and contextdeveloper-toolsmcpmcp-servermodel-context-protocolsqlitestate-graph
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