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Aufgaard — Production AI Operations Suite

Operator cockpit for production AI. 7 MCPs + 13 skills + 6 hooks + 5 monitors. Catches dangerous bash, cost spikes, agent-config attacks, output-action divergence, silent cron failures, supply-chain risks, and unsafe upgrades.

License: MIT

What this is

A single Claude Code (and Cursor) plugin that wraps seven production-AI safety + observability MCP servers in a coherent operator experience: invocable skills, automatic safety hooks, background monitors that surface failures proactively, and specialized subagents for heavy work.

The seven MCPs:

Server Catches
silentwatch-mcp Cron silent failures (exit-0 with empty output, length anomalies, retry storms)
openclaw-health-mcp Runtime deployment vitals — gateway, plugins, errors, OOM history
openclaw-cost-tracker-mcp Per-agent cost attribution + 429-window prediction across providers
openclaw-skill-vetter-mcp Malicious skills / agent-config attacks (CVE-class supply-chain risks)
openclaw-upgrade-orchestrator-mcp Upgrade regression risk (catalog of known-bad versions + provider-side drift detection)
openclaw-output-vetter-mcp Output-action divergence (agent claims vs actual state) + grounding failures
bash-vet-mcp LLM-emitted destructive shell commands (30 rules across 8 families)

Install

Quick install (Claude Code, after marketplace listing)

/plugin install aufgaard

Local install (development / pre-marketplace)

git clone https://github.com/temurkhan13/aufgaard
cd aufgaard
claude --plugin-dir .

Cursor (after marketplace listing)

Open Cursor → Marketplace → search "Aufgaard" → Install.

What you get when activated

Visible by default — no invocation required:

  • 🟢 SessionStart auto-report: deployment health + yesterday's spend, surfaced the moment you open Claude Code
  • ⛔ PreToolUse hooks block dangerous bash + flag malicious agent-config files before they land
  • 🔔 Background monitors push notifications when 429 is imminent, when silent failures are detected, when known-regression upgrades land

Invocable on demand:

  • /aufgaard:production-audit — one-page 35-pattern audit calling all 7 MCPs in parallel
  • /aufgaard:cost-overview — current spend + 429 prediction + cheaper-routing recs
  • /aufgaard:vet-bash <command> — vet a specific shell command before running
  • /aufgaard:should-i-upgrade <package> — pre-upgrade safety check
  • /aufgaard:silent-failures — recent silent-failure detections from cron / scheduled jobs
  • /aufgaard:health-check — current deployment vitals
  • /aufgaard:verify-claim — verify an agent's "I did X" claim against actual state
  • ...and more (see docs/skills.md)

How this fits into your workflow

The plugin's job is to give you eyes on what your production agents are doing — without you having to ask. Each session opens with a health summary. Dangerous bash gets blocked automatically. Cost spikes ping you before they become billing surprises. Malicious agent-config files in PRs get flagged before they activate.

For the full pattern catalogue (35 production-AI failure modes mapped to MCP coverage), get the Production-AI MCP Suite Bundle — includes the 8-page Field Reference PDF + Welcome.md decision tree.

Compatibility

  • Claude Code: native — install via /plugin install aufgaard or claude --plugin-dir
  • Cursor: native — same files, dual config dirs (.claude-plugin/ + .cursor-plugin/)
  • OpenClaw / Anthropic Console: inherits via Claude Code
  • Codex / Windsurf / Continue.dev: the underlying 7 MCPs work via MCP standard; full plugin support TBD

Underlying MCPs (also installable standalone)

If you only want one or two MCPs without the plugin packaging:

pip install silentwatch-mcp openclaw-health-mcp openclaw-cost-tracker-mcp \
            openclaw-skill-vetter-mcp openclaw-upgrade-orchestrator-mcp \
            openclaw-output-vetter-mcp bash-vet-mcp

Each MCP has its own GitHub repo with detailed README, test suite, and CI.

Status

v1.0 — in development (2026-05). This README documents the target shape. Tracking progress: see IMPLEMENTATION-PLAN.md.

License

MIT — see LICENSE. Use freely in your stack, fork it, ship under your own brand if helpful.

About

Production AI Operations Suite — 7 MCPs + 13 skills + 6 hooks + 5 monitors. Catches dangerous bash, cost spikes, agent-config attacks, output-action divergence, silent cron failures, supply-chain risks, and unsafe upgrades. Operator cockpit for production AI.

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