Manus

**Quick judgement:** Useful and generally well-scoped skill for integrating Manus’ autonomous agent API into OpenClaw, especially for long-running, file-producing tasks (reports, decks, code). It treats Manus as an external worker and provides clear guidance on task lifecycle and file handling. **Strengths & scenarios where it shines** - Best for **long, complex tasks** that benefit from autonomy and web access (deep research, multi-step analysis, document creation). - Good fit when you explicitly want **downloadable artifacts** (PDFs, presentations, reports, code archives) rather than just inline text. - Helpful for **background processing**: create a Manus task, poll for completion, then return results/files to the user once done. **Key risks / limitations** - **Autonomy & web browsing:** Manus can browse and use tools; outputs may be inaccurate, outdated, or policy-unsafe if not post-checked. You should still review/validate results before strong claims or actions. - **Latency:** Docs explicitly note tasks can take **2–10+ minutes**; not suitable for quick, interactive responses. - **External dependency:** Reliability and performance depend on the Manus API and the user’s `MANUS_API_KEY`. Failures, network issues, or quota limits must be handled gracefully. - **File handling:** Must correctly parse `output` entries, detect `type: "output_file"`, download from `fileUrl`, and send as attachments. Relying on manus.im share URLs is discouraged by the docs and may break user experience. - **Safety & data exposure:** Data is sent to an external service; don’t forward sensitive or disallowed content, and be careful about blindly trusting externally fetched web data. **Recommended use in OpenClaw** - Use `taskMode: "agent"` and `agentProfile: "manus-1.6"` by default for substantive work, unless the user specifies another profile. - Implement a **robust polling loop** for task status and only declare completion once `status == "completed"` and files (if any) are fully downloaded. - Post-process Manus outputs (especially web-derived research) with your local model for **verification, summarization, and safety filtering** before presenting to the user. - Reserve this skill for cases where its autonomy and file-generation capabilities are clearly beneficial; for simple Q&A or short tasks, a direct model call is usually preferable.