Show current production AI cost overview — totals, top spenders by agent, per-provider breakdown, anomaly detection, and time-to-429 rate-limit prediction. Use when the user asks "what's my AI bill", "which agent is burning tokens", "am I about to hit the rate limit", or wants a cost dashboard. Cross-provider — works for Anthropic, OpenAI, Gemini, Bedrock, Ollama.
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Install skill "cost-overview" with this command: npx skills add temurkhan13/skillsmp-temurkhan13-temurkhan13-cost-overview
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Show current AI deployment health overview — gateway status, plugin/skill registry, recent errors, CPU/RAM pressure, OOM history, cron status, disk pressure, upgrade outcome. The "vital signs" panel for a production AI deployment. Use when the user asks "is my deployment healthy", "what's wrong with my agent", "are services up", or wants an at-a-glance status check.
Vet an agent-config file or directory (CLAUDE.md, AGENTS.md, .cursor/rules.md, .gemini/config, .claude/skills/, .git/hooks/) BEFORE the agent reads it on next session-start. Catches the agent-config-trust-boundary attack class — adversary lands a config file in a PR, agent inherits the override, RCE-equivalent. 24+ rules including PROMPT_INJ, EXFIL, DYNAMIC_EXEC, SECRET_REF, GIT_HOOK_INSTALL. Use when reviewing PRs that touch any agent-config layer, or after pulling a branch that may have modified these files.
Scan Python source files for swallowed-exception patterns that silently turn errors into fake successes. Catches bare `except` blocks that pass / return None / return mock objects, log-and-fake-success handlers, and mock-substitution-on-error. AST-based — not just regex. Use before any deploy of new agent code, on the working directory after a bug fix, or routinely on production-path Python files.
One-page operator cheatsheet for the Aufgaard plugin. The "what to check, when, why" reference. Auto-loaded so day-to-day routing is fast. Use as the lightweight summary when the user wants a quick recap of capabilities.