recap

recap is a skill for Claude Code from ivklgn/ai-kit. It costs 120 tokens per session (967 once invoked), scanned A, original, MIT.

A short status summary for a long coding session, covering the goal, completed work, current step, open items, and next step. It can also expand one of those items.

In plain words
What is it for?
It is used when resuming interrupted work, handing a task to someone else, or checking what remains before continuing.
Why use it?
It helps you quickly regain context without searching through the codebase or rereading the entire conversation.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; mentions subagents.

Part of the ai-kit plugin — 22 skills, 15 commands, 30 agents, 1 MCP server shipped together

Good fit It is used when resuming interrupted work, handing a task to someone else, or checking what remains before continuing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ivklgn/ai-kit/recap
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 ivklgn/ai-kit --skill recap
Clone the repo
git clone --depth 1 https://github.com/ivklgn/ai-kit

Made for: Claude Code.

Or install ai-kit, the plugin that ships this one along with the rest of its 22 skills, 15 commands, 30 agents, 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/ivklgn/ai-kit/recap/github.svg)](https://agentmods.dev/skills/ivklgn/ai-kit/recap)
Your own site
<a href="https://agentmods.dev/skills/ivklgn/ai-kit/recap"><img src="https://agentmods.dev/badge/skills/ivklgn/ai-kit/recap/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 recap

Your own site · 80×15
<a href="https://agentmods.dev/skills/ivklgn/ai-kit/recap"><img src="https://agentmods.dev/badge/skills/ivklgn/ai-kit/recap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 967 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 4
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
How audits are shown
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 $0.00120 $0.00967
Opus 5 $0.00060 $0.00483
Sonnet 5 $0.00024 $0.00193
Haiku 4.5 $0.00012 $0.00097

Measured 7d ago against content hash 038234bd0e1f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 7d 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.

plugins/ai-kit/skills/recap/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Recap

Everything needed is already in context. This skill is fast because it refuses to go looking for anything else.

Speed contract

Run exactly one command, and only if the working directory is a git repository:

git status --short --branch && git --no-pager log --oneline -10

If it fails (not a repository), continue silently without it.

Never call Read, Grep, Glob, Edit, WebSearch, or any other tool. Never re-open files that were already discussed — the discussion is in context. Never launch a subagent. One command, then write the answer.

Language

Write the recap in the language the user has been writing in this session, not the language of this skill. Mixed input follows the dominant language of the user's own messages. Translate the slot labels too — in Russian they read Цель / Сделано / Сейчас / Открыто / Дальше. Keep identifiers verbatim — file paths, branch names, commands, flags, library names, error strings.

Level 1 — default output

No argument means the full status. Fill these five slots, in order:

Goal — what the user is actually trying to achieve, in their terms. One line. If the session pivoted, state the current goal and mark the pivot in a clause.

Done — 2–5 bullets, one line each. Each bullet is a result, not an activity: "found the built-in /recap, it is one line long" rather than "searched for skills". Where a decision was made, name the decision and its reason. Merge related steps into one bullet.

Now — the single thing in flight and how far it got. If the last turn completed cleanly, name that completed thing instead.

Open — 0–3 bullets of what is expensive to rediscover: approaches tried and rejected with the reason, unanswered questions, known traps, work deliberately deferred. Omit the whole slot when genuinely empty — never pad it.

Next — the immediate next action, concrete enough to start on. If a user decision is required first, name the decision instead.

Close with a one-line hint that any slot or topic can be expanded.

Read the full file on GitHub · 65 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. 7d ago First seen · 65 lines · 120 tokens per session scan A 038234bd0e1f

Subscribe to this mod's changes

recap is a skill published in the GitHub repository ivklgn/ai-kit (12 stars, last pushed 7d ago), licensed MIT. It adds 120 tokens to every session and 967 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 2026-09-04.

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