mm-resume

mm-resume is a skill for Claude Code, Codex from mworldorg/markdown-memory. It costs 161 tokens per session (3,176 once invoked), scanned A, original, MIT.

A workflow for restoring project context after starting a new Claude Code session or clearing the conversation. It reads project notes, recent session information, version-control status, and available planning files.

In plain words
What is it for?
Use it to summarize the current project state, priorities, recent handoffs, Git changes, and planning documents at the start of a session.
Why use it?
It reduces the time spent reconstructing what the project is, what changed, and what work should happen next.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions Claude Code.

Good fit Use it to summarize the current project state, priorities, recent handoffs, Git changes, and planning documents at the start of a session.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mworldorg/markdown-memory/mm-resume
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 mworldorg/markdown-memory --skill mm-resume
Clone the repo
git clone --depth 1 https://github.com/mworldorg/markdown-memory

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 mm-resume

README.md
[![agentmods](https://agentmods.dev/badge/skills/mworldorg/markdown-memory/mm-resume/github.svg)](https://agentmods.dev/skills/mworldorg/markdown-memory/mm-resume)
Your own site
<a href="https://agentmods.dev/skills/mworldorg/markdown-memory/mm-resume"><img src="https://agentmods.dev/badge/skills/mworldorg/markdown-memory/mm-resume/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 mm-resume

Your own site · 80×15
<a href="https://agentmods.dev/skills/mworldorg/markdown-memory/mm-resume"><img src="https://agentmods.dev/badge/skills/mworldorg/markdown-memory/mm-resume.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 161 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,176 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 analysis-evasion · line 1
    Suspicious Unicode normalization or mixed-script content
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 $0.00161 $0.03176
Opus 5.5 $0.00064 $0.01270
Sonnet 5.5 $0.00032 $0.00635
Haiku 4.5 $0.00016 $0.00318

Measured 1mo ago against content hash 5597cb3e1dad, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mm-resume 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 1mo 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/mm-resume/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

mm-resume — Context Restore for Claude Code

Решает проблему: после /clear, exit && claude, или после паузы на день — нет контекста. Этот skill за один вызов читает все источники и говорит «где мы, что в работе, что брать следующим».

Это аналог git status, но для проекта в целом — не для рабочей копии, а для головы.

Когда вызывать

  • В начале новой Claude Code сессии в проекте — первая команда
  • После /mm save → /clear — восстановить контекст в той же сессии
  • После недели паузы — догнать что вообще происходило
  • Когда юзер пишет «где мы», «что у нас», «напомни» — сразу запускай, не переспрашивай

Конфиг

Загрузи mm-config.json по алгоритму из <repo>/docs/CONFIG-LOADING.md. Поддержка mm-config.local.json overlay обязательна.

Понадобятся:

  • paths.obsidian_projects
  • paths.obsidian_sessions (на случай старого формата без папки проекта)

Процесс

Шаг 0. Фоновый автоапдейт mm-системы (неблокирующий)

Выполни в фоновом режиме команду проверки обновлений:

  • На macOS/Linux: python3 $MM_REPO_ROOT/scripts/auto-update.py --background & (или используя путь ~/.markdown-memory/scripts/auto-update.py если переменная не задана)
  • На Windows: запусти python со скриптом auto-update.py --background в фоновом режиме (скрипт сам сделает Popen detached-процесс и мгновенно вернет управление).

Шаг 1. Определи проект (worktree-aware)

То же что в mm-init-project Phase 0:

  • Если cwd внутри .claude/worktrees/... — resolve до main repo через .git файл-указатель
  • Иначе — поднимись до корня (где .git/, package.json, pyproject.toml, и т.п.)
  • Имя проекта = из passport.md frontmatter (если есть) ИЛИ basename корневой папки

Если в проекте нет passport.md — скажи: Проект не инициализирован для mm. Запустить /mm new сначала? и остановись.

Шаг 2. Прочитай источники (параллельно если можно)

2a. Паспорт
  • <project_root>/passport.md — frontmatter, секция 8 (контекст промптов), секция 10 (текущее состояние)
2b. Obsidian-артефакты (Obsidian Knowledge Vault)
  • Определи путь к хранилищу <vault_root> (из секции ## Obsidian Knowledge Vault в CLAUDE.md, либо дефолтная локальная папка .vault/, либо глобальная папка проекта <obsidian_projects>/<name>/).
  • Прочитай <vault_root>/00-home/текущие приоритеты.md — извлеки текущие цели, WIP и следующие шаги.
  • Прочитай <vault_root>/00-home/index.md — для понимания структуры доступных в knowledge/ и atlas/ заметок.
  • <vault_root>/handoff.md (если есть) — последний snapshot для chat; обязательно вытащи секцию «Точка возврата» (следующий шаг + висящее: неотправленный промпт прошлой сессии, недоделанное, WIP).
  • <vault_root>/sessions/ — найди самый свежий .md по mtime; прочти секции «Что сделано», «Открытые вопросы», «Следующие шаги».
  • Если текущая задача пользователя касается конкретных интеграций, решений или архитектурных вопросов, найди релевантные заметки в <vault_root>/knowledge/ (или в atlas/) и предложи агенту прочитать их.

Read the full file on GitHub · 205 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. 1mo ago First seen · 205 lines · 161 tokens per session scan A 5597cb3e1dad

Subscribe to this mod's changes

mm-resume is a skill published in the GitHub repository mworldorg/markdown-memory (25 stars, last pushed 5d ago), licensed MIT. It adds 161 tokens to every session and 3,176 once invoked, about $0.0006 per session on Opus 5.5. 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.