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-doctorgit 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-doctor)<a href="https://agentmods.dev/skills/mworldorg/markdown-memory/mm-doctor"><img src="https://agentmods.dev/badge/skills/mworldorg/markdown-memory/mm-doctor/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-doctor"><img src="https://agentmods.dev/badge/skills/mworldorg/markdown-memory/mm-doctor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00126 | $0.05408 |
| Opus 5.5 | $0.00050 | $0.02163 |
| Sonnet 5.5 | $0.00025 | $0.01082 |
| Haiku 4.5 | $0.00013 | $0.00541 |
Grade B, and why
mm-doctor scanned grade B with 1 finding 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.
Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
ls -la ~/.claude/skills/ How it starts
The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mm-doctor — System Health Check & Auto-Fix
Прогон диагностики всей mm-системы. Не пишет ничего без подтверждения.
Конфиг
Загрузи mm-config.json по алгоритму из <repo>/docs/CONFIG-LOADING.md. Поддержка mm-config.local.json overlay обязательна. Loader должен инжектировать _repo_root.
Если loader падает — это уже первая ошибка, выведи её и предложи фикс из CONFIG-LOADING.md.
Чек-лист (выполнять по порядку, помечать ✅ / ⚠️ / ❌)
1. Конфиг
- ✅
mm-config.jsonнайден (откуда: env / junction / fallback) - ✅ Валидный JSON
- ⚠️ Если использован legacy fallback (см.
docs/CONFIG-LOADING.md) — предложи[Environment]::SetEnvironmentVariable("MM_REPO_ROOT", "<repo>", "User") - ✅
mm-config.local.json(если есть) валидный, deep-merged - ✅ Ключевые пути присутствуют:
obsidian_*,_repo_root
2. Repo integrity
- ✅
<repo>/templates/passport.mdсуществует - ✅
<repo>/templates/project-instructions.mdсуществует - ✅
<repo>/skills/mm-bridge/SKILL.md,mm-init-project,mm-setup,mm-resume,mm-handoff,mm-save-session,mm-instructions,mm-projects,mm-doctor,mmсуществуют (10 skills) - ✅
<repo>/scripts/register-skills.pyсуществует
3. Симлинки / Junction'ы (~/.claude/skills/mm-*)
Для каждого mm-* в <repo>/skills/ и <repo>/vendor/:
- ✅ Ссылка
~/.claude/skills/mm-<name>существует - ✅ Является reparse-point/symlink (симлинк на Mac/Linux, junction на Windows)
- ✅ Target указывает на
<repo>/skills/mm-<name>(илиvendor/mm-<name>)
Проверка на macOS/Linux:
ls -la ~/.claude/skills/
readlink ~/.claude/skills/mm-bridge # должно вести на <repo>/skills/mm-bridge
PowerShell-проверка (Windows):
$item = Get-Item "$env:USERPROFILE\.claude\skills\mm-bridge" -Force
$item.Attributes -band [System.IO.FileAttributes]::ReparsePoint # должно быть != 0
$item.Target # должно совпадать с <repo>/skills/mm-bridge
При ошибках предложи: Запустить scripts/register-skills.py для пере-создания ссылок? (y/n). Если y — запусти.
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 · 276 lines · 126 tokens per session scan B da967e1426b9
mm-doctor is a skill published in the GitHub repository mworldorg/markdown-memory (25 stars, last pushed 22d ago), licensed MIT. It adds 126 tokens to every session and 5,408 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 1 finding (enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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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-observability
Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.
ai-sre-incident-response
Build AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.
agent-qa-debug-fix
Debug, patch, and verify failed Agent QA runs from MCP evidence, artifacts, logs, and local code without hiding product or infrastructure defects.