teamclawtestA high-performance Agent subsystem designed for complex multi-agent orchestration (OASIS),visual multi-agent workflow orchestration, automated computer use t...
Install via ClawdBot CLI:
clawdbot install avalon-467/teamclawtestGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
/etc/passwdSends data to undocumented external endpoint (potential exfiltration)
POST → http://127.0.0.1:51202/topicsHardcoded API key or token pattern found in skill definition
sk-xxxxxxxxx...Potentially destructive shell commands in tool definitions
rm -rf /Generated Jul 11, 2026
Deploy TeamClaw as a customer support backend that uses OASIS to coordinate multiple specialized agents: a triage agent, a knowledge base agent, and an escalation agent. Integrate with Telegram for users to submit tickets; the system can automatically resolve common issues and escalate complex ones to human operators via Bark push notifications.
Use TeamClaw's Telegram and QQ bot integrations to monitor channels and groups for flagged content. Multiple LLM backends (e.g., Gemini for vision, Claude for text) can analyze images and messages in parallel via OASIS. The system automatically flags violations and drafts responses, with human review via the Web UI.
Operators use the Web UI exposed via Cloudflare Tunnel to visually orchestrate multi-step automation workflows for IoT devices. TeamClaw schedules tasks (e.g., temperature checks, alerts) and uses Bark for push notifications. The OASIS forum allows multiple agents to test and validate workflows before deployment.
Researchers chat with TeamClaw via Telegram or Web UI, asking it to analyze papers or data. The system uses OASIS to parallelize queries across DeepSeek, OpenAI, and Gemini for different aspects (e.g., summarization, code generation, literature review). Results are compiled and sent back as a structured report.
Integrate TeamClaw into a CI/CD pipeline: it listens via scheduled tasks for build notifications from GitHub webhooks, then spawns agents to run test suites, analyze logs via OpenClaw integration, and report results. Alerts for failures are sent to a Telegram dev chat with detailed analysis.
Offer TeamClaw as a white-label SaaS where clients pay per seat or per API call. The service includes customization of agent workflows, social media integrations, and Cloudflare Tunnel for secure remote access. Revenue comes from monthly subscription tiers based on number of agents and LLM API usage.
Provide consulting to deploy TeamClaw on-premise for enterprises needing secure automation (e.g., compliance-heavy industries). Charge a one-time integration fee plus annual maintenance. Upsell training and custom OASIS workflow development.
Sell pre-configured TeamClaw bots for Telegram and QQ that handle customer support, content moderation, or lead generation. Customers pay a monthly fee per bot channel. Revenue shared with the team for hosting LLM API costs and infrastructure.
💬 Integration Tip
For first deployment, use the quick-start script with a DeepSeek API key; later enable Cloudflare Tunnel for remote Web UI access from mobile.
Scored Jul 11, 2026
Calls external URL not in known-safe list
https://github.com/Avalon-467/TeamclawUses known external API (expected, informational)
api.openai.comAudited May 20, 2026 · audit v1.0
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