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.
npx skills add mworldorg/markdown-memory --skill mm-vaultgit clone --depth 1 https://github.com/mworldorg/markdown-memoryWrote 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.
[](https://agentmods.dev/skills/mworldorg/markdown-memory/mm-vault)<a href="https://agentmods.dev/skills/mworldorg/markdown-memory/mm-vault"><img src="https://agentmods.dev/badge/skills/mworldorg/markdown-memory/mm-vault/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.
<a href="https://agentmods.dev/skills/mworldorg/markdown-memory/mm-vault"><img src="https://agentmods.dev/badge/skills/mworldorg/markdown-memory/mm-vault.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
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 contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00069 | $0.01594 |
| Opus 5.5 | $0.00028 | $0.00638 |
| Sonnet 5.5 | $0.00014 | $0.00319 |
| Haiku 4.5 | $0.00007 | $0.00159 |
Grade A, and why
mm-vault 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.
How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mm-vault — Memory Vault Git Sync Initializer
Инициализирует и настраивает приватный git-репозиторий для папки памяти проекта Obsidian Vault. Это позволяет синхронизировать долгосрочную память с claude.ai Project Knowledge/Files через интеграцию с GitHub, исключая ручной копипаст.
Конфиг
Загрузи mm-config.json по алгоритму из <repo>/docs/CONFIG-LOADING.md. Поддержка mm-config.local.json overlay обязательна.
Понадобятся:
paths.obsidian_projectspaths.obsidian_vault
Процесс
Шаг 1. Определи проект и папку памяти (Vault Root)
- Определи проект по
passport.mdв текущейcwdили её родительских директориях.- Извлеки имя проекта из YAML frontmatter
project:(или из поля "Имя" таблицы Идентификация). - Если
passport.mdне найден, выведи предупреждение и спроси имя проекта или предложи запустить/mm newсначала.
- Извлеки имя проекта из YAML frontmatter
- Определи slug проекта (в нижнем регистре, с заменой пробелов на дефисы). Для
markdown-memoryslug равенmarkdown-memory. - Определи путь базы знаний
<vault_root>по единому алгоритму резолва:- (1) из секции
## Obsidian Knowledge VaultвCLAUDE.mdсо строкойХранилище знаний: <путь>, если она есть; - (2) локальная папка
.vault/в корне проекта; - (3) глобальная папка проекта
<obsidian_projects>/<slug>/из конфига.
- (1) из секции
- Выведи пользователю подтвержденный путь папки памяти.
Шаг 2. Покажи состав папки и прогони Secret-Scan
- Сделай рекурсивный обход папки
<vault_root>и покажи дерево файлов, которые попадут в репозиторий. - Прогони все файлы папки через паттерны из канона
<repo>/config/secret-patterns.json(пояснение —<repo>/docs/SECRET-PATTERNS.md).- Класс A (Высокоточные секреты):
- Если найден хотя бы один реальный секрет, останови выполнение (hard-stop).
- Покажи пользователю найденную строку и файл.
- Жди явного исправления/подтверждения перед созданием репозитория. Не продолжай автоматически. Блокирует только реальный секрет (когда человек сам убирает реальный секрет).
- Класс B (Широкие совпадения / предупреждения):
- Выведи предупреждения в формате:
⚠️ возможный секрет/длинная строка в <файл>, строка N: <первые 12 симв.>… — проверь вручную (не замаскировано). - Важно: Класс B служит только для предупреждения пользователя. НИКОГДА не редактируй содержимое файлов памяти проекта ради сканера. Скилл никогда не переписывает текст заметок.
- Выведи предупреждения в формате:
- Класс A (Высокоточные секреты):
- Жди подтверждения (y/n) от пользователя для создания репозитория и первого пуша.
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.
- 1mo ago First seen · 107 lines · 69 tokens per session scan A dfe2a749dc5a
mm-vault is a skill published in the GitHub repository mworldorg/markdown-memory (25 stars, last pushed 20d ago), licensed MIT. It adds 69 tokens to every session and 1,594 once invoked, about $0.0003 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.
Other skills, from other repositories
agent-memory-mcp
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
agent-memory-discipline
Rules for when an agent should recall from long-term memory before acting and when it should save decisions, corrections and failures afterwards. Works with any memory backend.
agent-memory
A hybrid memory system that provides persistent, searchable knowledge management for AI agents.
accint-frames
Drain acc's deliberation queue — open/waiting brainframes checkpointed by headless runs — via accact(runtime="continue").
accint-solve
Route a goal through acc's scored-memory loop via accact(runtime="solve"); deliberate any returned brainframe and submit via continue.
agent-memory-systems
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them.