recap

recap is a skill for Claude Code, Codex from M-T-D-N/agentmemory-codex-windows. It costs 58 tokens per session (535 once invoked), scanned A, original, Apache-2.0.

A session-summary tool that lists recent agent sessions for a project and highlights important observations. It can group sessions by date and time window.

In plain words
What is it for?
Use it for requests such as a recap, what has been done today or this week, or a summary of the last several sessions.
Why use it?
It provides a quick view of recent project activity without searching through every past conversation in detail.

Skill for Claude CodeCodex

Part of the agentmemory plugin — 17 skills, 2 commands, 12 hooks, 1 MCP server shipped together

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/m-t-d-n/agentmemory-codex-windows/recap
Any agent
npx skills add M-T-D-N/agentmemory-codex-windows --skill recap
Clone the repo
git clone --depth 1 https://github.com/M-T-D-N/agentmemory-codex-windows

Made for: Claude Code, Codex.

Or install agentmemory, the plugin that ships this one along with the rest of its 17 skills, 2 commands, 12 hooks, 1 MCP server.

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 recap

README.md
[![agentmods](https://agentmods.dev/badge/skills/m-t-d-n/agentmemory-codex-windows/recap.svg)](https://agentmods.dev/skills/m-t-d-n/agentmemory-codex-windows/recap)
Your own site
<a href="https://agentmods.dev/skills/m-t-d-n/agentmemory-codex-windows/recap"><img src="https://agentmods.dev/badge/skills/m-t-d-n/agentmemory-codex-windows/recap.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 535 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 $0.00058 $0.00535
Opus 5 $0.00029 $0.00267
Sonnet 5 $0.00012 $0.00107
Haiku 4.5 $0.00006 $0.00053

Measured 5d ago against content hash dfc336586c3d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

recap 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 5d 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.

plugin/skills/recap/SKILL.md · 64 lines

What it actually says

The user wants a recap. Time window args: $ARGUMENTS

Quick start

memory_sessions { "project": "my-project", "limit": 30 }

Then per surviving session: memory_recall { "project": "my-project", "query": "<top concepts>", "limit": 3 }.

Expected output:

2026-06-07
  7f3a9c2 · "Auth refresh rework" · 14 obs · completed
    - [8] Rotate refresh tokens on every use
3 sessions across 2 days, 41 observations.

Why

Only summarize sessions and observations the tools returned. An empty window is a real answer, not a prompt to invent activity.

Workflow

  1. Parse $ARGUMENTS: today = current local date; this week = last 7 days; last <n> or bare numeric = most recent N; empty = last 10.
  2. Resolve the exact registered project and call memory_sessions with that project. Apply the window and sort by startedAt descending.
  3. Group survivors by local calendar date (YYYY-MM-DD).
  4. Per session list id (first 8), title or first prompt, observation count, status. Indent 2-3 highlights (importance >= 7) from memory_recall.
  5. End with "N sessions across M days, K observations."

Anti-patterns

WRONG: window is empty, so you summarize "a productive week of auth work" from memory of the conversation.

RIGHT: "No sessions in the last 7 days for this project."

Checklist

  • Window parsed correctly from the argument.
  • Sessions came from the exact registered project.
  • Highlights come from memory_recall, not paraphrase.
  • Totals line reflects the actual counts shown.

See also

  • handoff, session-history, recall: same session data, different lens.

Troubleshooting

See ../_shared/TROUBLESHOOTING.md if memory_sessions or memory_recall is not available.

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 5d ago First seen · 64 lines · 58 tokens per session scan A dfc336586c3d

Subscribe to this mod's changes

recap is a skill published in the GitHub repository M-T-D-N/agentmemory-codex-windows (2 stars, last pushed 5d ago), licensed Apache-2.0. It adds 58 tokens to every session and 535 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.