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Summarize spending events for each connected peer over the past hour, day, and week, and flag peers above a configured suspension threshold. This consumer-side script depends on upstream event publishing that the source describes as not yet implemented.
Check Ruflo's health and summarize system diagnostics, MCP server state, and active agents. Routine checks leave the installation unchanged; an explicit repair request runs the repair command and reports the resulting changes and status.
Connect ruflo agents running on different machines to share status, tasks, and results through signed messages. Coordinate work ownership across nodes, verify messages against registered public keys, and synchronize shared rooms over HTTP.
Compare recorded agent spending with a project budget and receive alerts at four usage thresholds. Review remaining funds and recommended actions, or use the check to block agent launches when the budget is exhausted.
Check a Ruflo installation for common environment and configuration problems, then run automatic repairs. The checks cover software versions, background services, the memory database, API keys, MCP servers, disk space, and TypeScript.
Track production session spending over time by grouping costs into configurable time windows. Compare the latest window with earlier spending averages, display the increase, and optionally return a failure exit code when it exceeds a chosen percentage.
Export recorded AI usage costs and budgets as Prometheus metrics or JSON. Feed external dashboards with totals, model tier breakdowns, session costs, and budget utilization, or send the same data to a webhook endpoint.
Compare two saved cost-summary JSON snapshots to identify changes in total spending, sessions, and model costs. Set limits on spending increases or token growth to flag cost regressions during pull request checks.
Run and manage an agent in Anthropic's cloud for long or asynchronous tasks. Create a session with packages and tools, send work, inspect status and activity, continue with saved files and conversation, then terminate the session.
Analyze performance in Claude Flow swarms, groups of agents working together. Identify delays in communication, processing, memory, and networking, then generate reports and prioritized recommendations. Compare previous runs or apply available automatic optimizations.
Coordinate groups of AI agents in the cloud with Flow Nexus. Assign research or development tasks, automate workflows triggered by events or schedules, and monitor execution, queues, and agent capacity through the platform's tools.
Manage Flow Nexus accounts, run code in sandboxes, deploy app templates, and track credits. The skill guides platform operations through connected tools, including file storage, execution monitoring, and coding challenge submissions.
Create and improve GitHub Actions workflows for automated testing and deployment. Coordinate multiple AI agents to review pull requests, investigate failed runs, manage releases, and analyze workflow performance and operating costs.
Coordinate software releases on GitHub, from version updates and release notes to testing, builds, deployment, and rollback. It describes workflows using multiple AI agents, including coordinated package releases and gradual deployments with monitoring.
Automate DigitalOcean operations through Rube MCP, a connection for agent tools. The skill discovers supported actions and current input requirements, checks authentication, and executes the selected tools, with guidance for bulk operations and paginated results.
Automate Dnsfilter operations through Rube MCP and Composio by discovering available tools, checking the account connection, and executing requests using current input requirements. Includes guidance for bulk operations and retrieving complete results.
Automate Docker Hub administration through Composio: create organizations and repositories, list teams, invite members, and configure webhooks that notify other services when container images are pushed to a repository.
Automate Docker Hub repository, image, and tag management through Rube MCP. Discover available operations and their required inputs, then carry out individual tasks, connected workflows, or bulk operations using Composio’s toolkit.
Automate Doppler Secretops operations through Rube MCP, a connection for agent tools. Find supported actions, check their required inputs and the service connection, then run individual or bulk operations with the discovered tools.
Automate Cloudflare API operations through Rube MCP, a connection to external tools. The skill discovers available actions, checks required inputs and connection status, and runs tasks through Composio’s Cloudflare API toolkit.
Automate Cloudflare tasks through Rube MCP, a connection between the agent and external tools. It searches for supported actions and their current input requirements, checks connection status, and executes the selected operations.
Automate Buildkite operations using Composio tools through Rube MCP, an agent tool connection. The workflow discovers supported actions and required inputs, verifies authentication, and covers execution, bulk operations, and retrieval of results split across pages.
Automate Better Stack operations through Rube MCP, a connection for agent tools. The skill searches for supported actions, retrieves their current input requirements, verifies the service connection, and executes the discovered tools.
Automate Anthropic Admin tasks involving API keys, usage, workspaces, and organization management through Rube MCP, a connection to external tools. The skill guides tool discovery, connection checks, multi-step workflows, and bulk operations.