ai-agent-memory: Instructions file for GitHub Copilot

.github/instructions/end-session.instructions.md

ai-agent-memory end-session.instructions.md is an instructions file for GitHub Copilot from ozgurkarahan/ai-agent-memory. It costs 376 tokens per session, scanned A, original, MIT.

A wrap-up procedure for ending a work session in a project knowledge wiki. It reviews project notes, records important lessons and decisions, and checks whether Git has uncommitted changes.

In plain words
What is it for?
Use it after a work session when you say “end session,” “wrap up,” or “done for today.” It proposes wiki updates, adds relevant lessons or glossary terms, records the session, and reports Git status.
Why use it?
It prevents useful decisions and lessons from being left only in temporary notes or forgotten. It also makes unfinished changes and knowledge gaps visible before stopping.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is ozgurkarahan/ai-agent-memory's own configuration. It tells GitHub Copilot how to work on ai-agent-memory 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 ai-agent-memory configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ozgurkarahan/ai-agent-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.

Copy the file
curl -O https://raw.githubusercontent.com/ozgurkarahan/ai-agent-memory/master/.github/instructions/end-session.instructions.md
Clone the repo
git clone --depth 1 https://github.com/ozgurkarahan/ai-agent-memory

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for ai-agent-memory end-session.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/ozgurkarahan/ai-agent-memory/end-session/github.svg)](https://agentmods.dev/instructions/ozgurkarahan/ai-agent-memory/end-session)
Your own site
<a href="https://agentmods.dev/instructions/ozgurkarahan/ai-agent-memory/end-session"><img src="https://agentmods.dev/badge/instructions/ozgurkarahan/ai-agent-memory/end-session/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.

agentmods 80×15 button for ai-agent-memory end-session.instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/ozgurkarahan/ai-agent-memory/end-session"><img src="https://agentmods.dev/badge/instructions/ozgurkarahan/ai-agent-memory/end-session.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 376 This file is loaded in full into every session.
When invoked 376 The same file — it is already loaded in full.
Security scan A 0 findings. 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 $0.00376 $0.00376
Opus 5.5 $0.00150 $0.00150
Sonnet 5.5 $0.00075 $0.00075
Haiku 4.5 $0.00038 $0.00038

Measured 2mo ago against content hash cf7210a46ade, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-agent-memory end-session.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.

.github/instructions/end-session.instructions.md · 34 lines

What it actually says

End Session

When the user says "end session", "wrap up", or "done for today":

Resolve the memory root

  1. If memory/schema.md exists in the current workspace, use memory/.
  2. Else if schema.md exists, use the current directory.
  3. Else follow the memory-wiki path declared in the current project's AGENT.md.
  4. If no folder containing both schema.md and index.md resolves, report that the wiki update is blocked; still perform the Git check.

All wiki paths below are relative to that memory root.

  1. Project wiki page — Check if wiki/projects/{project}.md needs updates from today's work (lessons, decisions, technical details, status). Propose changes. (Note: legacy .ai/lessons-learned.md / .ai/project-reference.md were retired — project knowledge lives directly on the wiki page.)
  2. Wiki compounding — If significant lessons or patterns were discovered:
    • Update relevant domain pages under wiki/domains/
    • Add new glossary terms to glossary.md
    • Create or update pattern/lesson pages if applicable
    • Append to log.md
  3. Git check — Run git status and warn about uncommitted changes.
  4. Summary — Present a table:
Area Status Action
Project docs Up to date / Updated ...
Wiki (project page) Up to date / Updated ...
Wiki (domains/patterns) Up to date / Graduated ...
Glossary Up to date / Updated ...
Git Clean / Has changes ...
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. 2mo ago First seen · 34 lines · 376 tokens per session scan A cf7210a46ade

Subscribe to this mod's changes

ai-agent-memory end-session.instructions.md is an instructions file published in the GitHub repository ozgurkarahan/ai-agent-memory (8 stars, last pushed 3mo ago), licensed MIT. It adds 376 tokens to every session, about $0.0015 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 2026-08-31.

Related

ai-agent-memory end-session.instructions.md compared with instructions from other repositories

ai-agent-memory end-session.instructions.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
ai-agent-memory end-session.instructions.mdozgurkarahan/ai-agent-memoryInstructions file83mo agoMITA376GitHub Copilot
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode