recap

A skill for summarizing recent agent sessions for the current project, grouped by date. It reports session counts, statuses, and selected recorded highlights within a requested time window.

In plain words
What is it for?
Use it when you want a recap of today’s work, the last week, or the most recent sessions, including major decisions and project changes.
Why use it?
It provides a quick rollup of recent work without requiring you to inspect every session individually. The summary is based on stored sessions and observations.

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/rohitg00/agentmemory/recap
Any agent
npx skills add rohitg00/agentmemory --skill recap
Clone the repo
git clone --depth 1 https://github.com/rohitg00/agentmemory

Made for: Claude Code, Codex.

Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 525 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 $0.00525
Opus 5 $0.00029 $0.00262
Sonnet 5 $0.00012 $0.00105
Haiku 4.5 $0.00006 $0.00052

Measured 2d ago against content hash 33e992570d0e, 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 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:

  • recap — 100% identical, 0 lines differ
plugin/skills/recap/SKILL.md · 64 lines

What it actually says

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

Quick start

memory_sessions { "limit": 30 }

Then per surviving session: memory_recall { "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. Call memory_sessions, filter to the current project (match cwd against the working directory), apply the window, 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 filtered to the current project's cwd.
  • 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. 2d ago First seen · 64 lines · 58 tokens per session scan A 33e992570d0e

Subscribe to this mod's changes

recap is a skill published in the GitHub repository rohitg00/agentmemory (27,906 stars, last pushed 2d ago), licensed Apache-2.0. It adds 58 tokens to every session and 525 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.

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