wrap-up

A session-closing procedure for Vertiso Memory, a system for recording work and follow-up items. It captures the stable state after finished work.

In plain words
What is it for?
It completes or archives confirmed actions, intents, and projects, then records what remains and what was finished.
Why use it?
It prevents completed work and deferred follow-ups from being left unclear or unrecorded.

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/vertiso/memory-vscode/wrap-up
Any agent
npx skills add Vertiso/memory-vscode --skill wrap-up
Clone the repo
git clone --depth 1 https://github.com/Vertiso/memory-vscode

Made for: Claude Code, Codex.

Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,585 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 $0.00073 $0.03585
Opus 5 $0.00036 $0.01792
Sonnet 5 $0.00015 $0.00717
Haiku 4.5 $0.00007 $0.00359

Measured 2d ago against content hash 7ae20a50800d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

wrap-up 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.

skills/wrap-up/SKILL.md · 265 lines

How it starts

The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Wrap-up

Close out a finished session: close the completed work in Vertiso Memory — complete the actions that shipped, archive the intents and projects whose full scope is done — journal the stable state, and ensure every deferred follow-on is tracked — as a vmem ACTION (a concrete piece of work) or, for a measurable outcome to achieve or maintain, an intent.

Announce: "Using the wrap-up skill to close out this session."

Invoking this skill at the user's request, or affirmatively accepting an agent's offer to run it, authorizes one capture. Invocation authorizes the wrap-up memory and its checkpoint-backed transcript gathering, including selected attributed verbatim excerpts sent to Vertiso Memory. Once invoked, do not ask a second permission question for that capture. It does not authorize creating, completing, or archiving actions, intents, or projects; those additional mutations retain the explicit confirmation step below.

Do not ask whether to write the wrap-up memory; the user's invocation already authorized it. When follow-on or closure candidates exist, ask only whether to create or close those named actions/intents/projects, and state that the wrap-up memory will be written regardless. If both lists are empty, proceed without another question.

One invocation does not grant standing authorization for later wrap-ups. Omit and do not persist passwords, API keys, authentication tokens, payment information, illegal or illicit materials, or sensitive third-party information the user is not authorized to store.

Secret stripping

Before composing the memory, inspect every selected source, including the conversation, transcript, work artifacts, tool output, title, tags, and metadata, for secrets. Treat passwords, API keys, bearer or refresh tokens, OAuth codes, session cookies, private keys, recovery codes, and credentialed connection strings as secrets.

Strip or redact any detected value before composing the memory. Never send the original value to Vertiso Memory or copy it into a quote, title, tag, metadata, link, or error detail. Do not echo the secret in the report; state only that sensitive content was omitted. If sanitization would make the capture meaningless, stop and ask the user for a sanitized replacement.

Read the full file on GitHub · 265 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 · 265 lines · 73 tokens per session scan A 7ae20a50800d

Subscribe to this mod's changes

wrap-up is a skill published in the GitHub repository Vertiso/memory-vscode (0 stars, last pushed 5d ago), licensed MIT. It adds 73 tokens to every session and 3,585 once invoked, about $0.0004 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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