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/ozgurkarahan/ai-agent-memory/end-sessiongit clone --depth 1 https://github.com/ozgurkarahan/ai-agent-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/ozgurkarahan/ai-agent-memory/end-session)<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="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 | $0.00376 | $0.00376 |
| Opus 5 | $0.00188 | $0.00188 |
| Sonnet 5 | $0.00075 | $0.00075 |
| Haiku 4.5 | $0.00038 | $0.00038 |
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 4d 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.
What it actually says
End Session
When the user says "end session", "wrap up", or "done for today":
Resolve the memory root
- If
memory/schema.mdexists in the current workspace, usememory/. - Else if
schema.mdexists, use the current directory. - Else follow the memory-wiki path declared in the current project's
AGENT.md. - If no folder containing both
schema.mdandindex.mdresolves, report that the wiki update is blocked; still perform the Git check.
All wiki paths below are relative to that memory root.
- Project wiki page — Check if
wiki/projects/{project}.mdneeds updates from today's work (lessons, decisions, technical details, status). Propose changes. (Note: legacy.ai/lessons-learned.md/.ai/project-reference.mdwere retired — project knowledge lives directly on the wiki page.) - 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
- Update relevant domain pages under
- Git check — Run
git statusand warn about uncommitted changes. - 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 | ... |
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.
- 4d ago First seen · 34 lines · 376 tokens per session scan A cf7210a46ade
ai-agent-memory end-session.instructions.md is an instructions file published in the GitHub repository ozgurkarahan/ai-agent-memory (8 stars, last pushed 1mo ago), licensed MIT. It adds 376 tokens to every session, about $0.0019 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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