session-wrap

session-wrap is a skill for Claude Code from matteotitta/genesys-skills. It costs 118 tokens per session (2,438 once invoked), scanned A, original, MIT.

An end-of-session review that scans the conversation for corrections, decisions, recurring patterns, and lessons learned.

In plain words
What is it for?
Use it to close a work session, capture what was learned or built, and turn feedback into reusable guidance.
Why use it?
It helps prevent useful knowledge from being lost when the session ends and records rules that may avoid repeating mistakes.

Skill for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions Claude Code.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /Users/matteotittarelli/.claude/projects/-Users-matteotittarelli-Desktop-CORE-WORK-CLAUDE-CODE/memory/MEMORY.md.

Good fit Use it to close a work session, capture what was learned or built, and turn feedback into reusable guidance.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.

Made for: Claude Code.

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 session-wrap

README.md
[![agentmods](https://agentmods.dev/badge/skills/matteotitta/genesys-skills/session-wrap/github.svg)](https://agentmods.dev/skills/matteotitta/genesys-skills/session-wrap)
Your own site
<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/session-wrap"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/session-wrap/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 session-wrap

Your own site · 80×15
<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/session-wrap"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/session-wrap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,438 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 $0.00118 $0.02438
Opus 5 $0.00059 $0.01219
Sonnet 5 $0.00024 $0.00488
Haiku 4.5 $0.00012 $0.00244

Measured 11d ago against content hash 554579957a83, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

session-wrap 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 11d 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/meta/session/session-wrap/SKILL.md · 272 lines

How it starts

The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/session-wrap — Extract learnings and close the feedback loop

Run at the end of a work session to capture what was learned, decided, and built. Prevents knowledge loss between sessions and creates a compounding improvement loop for the skill system.


Claude Code Triggers

Invoke this skill when user says:

  • "/session-wrap"
  • "Wrap up"
  • "Session done"
  • "Log learnings"
  • "What did we learn today?"
  • "Close out this session"

Do NOT invoke when:

  • User wants to search past sessions (use /recall)
  • User wants a daily summary (use /today)
  • Mid-session — this is an end-of-session skill

Process

Step 1: Scan for corrections

Review the conversation for moments where the user corrected you or redirected your approach. These are the highest-value learnings.

Look for patterns like:

  • "No, that's wrong" / "Actually..." / "Don't do that"
  • User rejecting a tool call or approach
  • User providing a better way to do something
  • Repeated mistakes that suggest a missing rule

Output format:

### Corrections found
- [CORRECTION] {what was wrong} → {what's correct}
  Suggested rule: {rule to prevent recurrence}
  Scope: [LOCAL] or [GLOBAL]

Step 2: Scan for decisions

Extract decisions made during the session — direction changes, approach selections, scope choices.

Look for patterns like:

  • "Let's go with..." / "We'll use..." / "The approach is..."
  • Choosing between alternatives
  • Committing to a specific implementation
  • Client-facing decisions (positioning choices, messaging direction, etc.)

Output format:

### Decisions made
- [DECISION] {what was decided}
  Context: {why it was decided}
  Client: {client name if applicable}

Step 3: Scan for patterns

Identify workflow patterns that emerged — things that worked well, processes that could become skills or rules.

Look for patterns like:

  • Multi-step processes that were repeated
  • Tool combinations that proved effective
  • Prompting strategies that produced good results
  • Workflow shortcuts discovered

Read the full file on GitHub · 272 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. 11d ago First seen · 272 lines · 118 tokens per session scan A 554579957a83

Subscribe to this mod's changes

session-wrap is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 118 tokens to every session and 2,438 once invoked, about $0.0006 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.

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