close-session

An end-of-session routine for reviewing a coding session and updating a repository's memory files. It records useful observations, checks for repeated patterns, and prepares a handoff for the next session.

In plain words
What is it for?
Use it when finishing work to capture session notes, review recurring practices, update MEMORY.md, prepare handoff notes, and propose lasting documentation changes for approval.
Why use it?
It reduces the chance of losing decisions or useful context between sessions. It also helps keep long-term notes focused by proposing which repeated patterns should become documented rules or concepts.

Skill for Claude CodeCodex

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 skills/awrshift/claude-memory-kit/close-session
Any agent
npx skills add awrshift/claude-memory-kit --skill close-session
Clone the repo
git clone --depth 1 https://github.com/awrshift/claude-memory-kit

Made for: Claude Code, Codex.

Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 864 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00064 $0.00864
Opus 5 $0.00032 $0.00432
Sonnet 5 $0.00013 $0.00173
Haiku 4.5 $0.00006 $0.00086

Measured 2d ago against content hash b6555f756a66, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

close-session 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

plugins/memory-kit/skills/close-session/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/close-session — the end-of-session ritual

You close the session in four steps. Don't just dump — audit. Everything you write, you announce briefly; anything promoted to rules/concepts needs the user's verbal "yes" first.

Step 1 — Capture what's new

Scan this session for observations worth keeping. Append each to .claude/memory/MEMORY.md as a ONE-LINE [YYYY-MM-DD]-prefixed entry. Short, scannable, no essays (long rationale belongs in a concept article, step 2).

Step 2 — Audit & promote (the valuable part)

Read the date-tagged entries in MEMORY.md. Look for repetition: did this pattern appear on 3+ different dates? Surface 2-4 candidates, be specific: "noticed [date], [date], [date] you said X — codify as a rule or a concept article?"

  • User says yes → write knowledge/concepts/<topic>.md (facts + rationale; frontmatter per knowledge/index.md spec) or .claude/rules/<name>.md (mechanical always/never constraint; only for patterns stable 6+ months). Update knowledge/index.md (one line per concept).
  • Promoted or long-absorbed entries get PRUNED from MEMORY.md — that's how it stays under its caps (180 lines / 32 KB / 3000 chars per line).
  • Writing a fact into a second place? reference/doc-governance.md — one SSOT per fact, and when a fact changes you grep its restatements in the same pass. A product or architecture decision goes to the ledger instead — projects/<name>/decisions-log.md, format in reference/decisions-log.md. A plan, a spec, a research finding or a QA record is NOT memory: it belongs in that project's folder, per the map in its README.md.

Step 3 — Refresh the MEMORY.md header

The header (everything above the first ---) is «current state of work», 2-3 sentences, REPLACED every close — never a chronicle of past sessions. Per-session detail lives in the handoff, not stacked in the header.

Step 4 — Write the handoff

Copy context/handoffs/HANDOFF-TEMPLATE.mdcontext/handoffs/<topic>-<YYYY-MM-DD>.md and fill its five sections (what was done · where things stand · memory updates · next steps · opening note). The SessionStart hook injects the newest handoff next time — this file IS the "remember where we left off" mechanism.

Read the full file on GitHub · 56 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. 2d ago First seen · 56 lines · 64 tokens per session scan A b6555f756a66

Subscribe to this mod's changes

close-session is a skill published in the GitHub repository awrshift/claude-memory-kit (31 stars, last pushed 6d ago), licensed MIT. It adds 64 tokens to every session and 864 once invoked, about $0.0003 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 2026-08-30.