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wrap-up

wrap-up is a skill for Claude Code, Codex from PGHH84/claude-layered-learning. It costs 50 tokens per session (1,874 once invoked), scanned A, original, MIT.

An end-of-session command for shipping work, saving useful memory, reviewing improvements, and recording a diary entry. It is intended for closing a coding task or work session.

In plain words
What is it for?
Use it when wrapping up to check shipping status, update approved memory or guidance, review improvements, and capture what happened in the session.
Why use it?
Important changes, lessons, and follow-up context can be lost when a session ends without a consistent closeout.

Skill for Claude CodeCodex

Written for Claude Code and Codex: PreCompact hook event, but also reads ~/.codex or $CODEX_HOME. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions AGENTS.md.

not rated 2repo 5mo ago A scan 50 tokens original MIT

Good fit Use it when wrapping up to check shipping status, update approved memory or guidance, review improvements, and capture what happened in the session.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pghh84/claude-layered-learning/wrap-up
View source ↗ PGHH84/claude-layered-learning
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.

Any agent
npx skills add PGHH84/claude-layered-learning --skill wrap-up
Clone the repo
git clone --depth 1 https://github.com/PGHH84/claude-layered-learning

Made for: Claude Code, Codex.

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 wrap-up

README.md
[![agentmods](https://agentmods.dev/badge/skills/pghh84/claude-layered-learning/wrap-up/github.svg)](https://agentmods.dev/skills/pghh84/claude-layered-learning/wrap-up)
Your own site
<a href="https://agentmods.dev/skills/pghh84/claude-layered-learning/wrap-up"><img src="https://agentmods.dev/badge/skills/pghh84/claude-layered-learning/wrap-up/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 wrap-up

Your own site · 80×15
<a href="https://agentmods.dev/skills/pghh84/claude-layered-learning/wrap-up"><img src="https://agentmods.dev/badge/skills/pghh84/claude-layered-learning/wrap-up.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,874 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00050 $0.01874
Opus 5 $0.00025 $0.00937
Sonnet 5 $0.00010 $0.00375
Haiku 4.5 $0.00005 $0.00187

Measured 10d ago against content hash 8d134590853d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 10d 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 · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Session Wrap-Up

Run four phases in order:

  1. Ship It
  2. Remember It
  3. Review & Apply
  4. Diary Capture

Present a consolidated report at the end. Do not add a final push prompt.

Model Selection

Wrap-up is mechanical work. Use the cheapest capable model available.

Hard Safety Boundaries

  • never create repo-local runtime memory folders in working repositories
  • never treat generated home-directory mirrors as the editable source of repo-local guidance
  • in this public repo, repo CLAUDE.md is the local guidance surface
  • never edit ~/.claude/CLAUDE.md or ~/.codex/AGENTS.md directly when a generated mirror path should be used
  • never write arbitrary ~/.codex/** state outside the approved global mirror-sync path
  • never auto-apply global canonical edits or new-skill changes without approval
  • never do speculative doc edits, speculative file moves, or destructive cleanup

Runtime Paths

  • project memory: ~/.claude/projects/<slug>/memory/MEMORY.md
  • diary output: ~/.claude/memory/diary/
  • reflections: ~/.claude/memory/reflections/
  • project operating guidance source: repo CLAUDE.md
  • global operating guidance source: ~/.agents/global/PROJECT.md
  • generated global mirrors: ~/.claude/CLAUDE.md, ~/.codex/AGENTS.md
  • optional personal extension: ~/.claude/skills/wrap-up/personal.md

Path-To-Slug Transform

Use this exact transform so wrap-up, /diary, /reflect, and the PreCompact hook agree on project identity:

  1. If inside a git repository, resolve the canonical project root with git rev-parse --show-toplevel.
  2. If that repo root contains /.worktrees/, strip the /.worktrees/<name> suffix and use the parent repo path as the canonical project root.
  3. Otherwise, if not inside a git repository, use the canonical absolute working directory.
  4. Resolve symlinks before deriving the slug.
  5. Replace every / in the canonical absolute path with -.

Phase 1: Ship It

Documentation sync

  1. Review the diff in each repo touched during the session.
  2. If the change affects project-maintained docs such as README, changelog, setup guides, runbooks, or verification docs, update only the documents directly affected.
  3. If no project-maintained docs were directly affected, skip this step.

Read the full file on GitHub · 207 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. 10d ago First seen · 207 lines · 50 tokens per session scan A 8d134590853d

Subscribe to this mod's changes

wrap-up is a skill published in the GitHub repository PGHH84/claude-layered-learning (2 stars, last pushed 5mo ago), licensed MIT. It adds 50 tokens to every session and 1,874 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 2026-08-31.

Memory and contextProductivity
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