A professional integration for managing Tencent Survey (wj.qq.com) operations including survey creation, structural updates, and data retrieval via AI agents.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tencent-survey
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install tencent-survey using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Tencent Survey skill is a comprehensive MCP integration designed to bridge the gap between AI assistants and the wj.qq.com platform. It allows developers and teams to automate the full lifecycle of online surveys, including polls, exams, and assessments. By utilizing a pure-text DSL, agents can programmatically build complex survey structures and manage team-based projects with ease.
This skill is built for efficiency, providing high-fidelity access to survey titles, settings, page structures, and question options. Whether you are conducting market research or internal evaluations, this Openclaw Skills contribution provides the necessary tools to handle high-volume survey data and real-time response monitoring directly through a terminal or an AI-native interface.
To get started with this Openclaw Skills package, ensure you have the mcporter CLI installed and an active Tencent Survey token.
If you have a token starting with wjpt_, export it to your environment:
export TENCENT_SURVEY_TOKEN=your_token_here
bash "${SKILL_DIR}/setup.sh" wj_check_and_start_auth
If you do not have a token, run the setup script to begin the OAuth flow:
bash "${SKILL_DIR}/setup.sh" wj_check_and_start_auth
# Follow the URL provided in the output, then run:
bash "${SKILL_DIR}/setup.sh" wj_wait_auth
The skill organizes data based on a hierarchical Survey-to-Option relationship and a separate Answer-to-Question response model.
| Level | Components |
|---|---|
| Survey | id, hash, title, scene (1=Survey, 3=Exam, 6=Evaluation, 8=Vote), state |
| Structure | Pages[] > Questions[] > Options[] |
| Question Meta | type, sub_type, title, required, DSL text |
| Answer Data | answer_id, respondent_nickname, location (province/city), timestamp, answers[] |
Loading
A universal client for discovering and invoking Tencent Music OpenAPI operator services with fully automated authentication.

A high-performance AI video compression skill that automatically optimizes large video files to fit under strict 8MB limits using cloud GPU rendering.

A mandatory system-level skill providing foundational execution rules, encoding standards, and automated user memory for AI agents.

A comprehensive analytical framework for understanding the high-end beauty market through the lens of the Estee Lauder multi-brand empire.

A high-priority text-writing skill that replaces standard write tools to ensure perfect cross-platform encoding and newline compatibility.

A comprehensive framework for creating modular, self-contained skills that transform general-purpose AI into specialized agents with domain expertise.








































