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Install in OpenClaw
/install audience-analysis
Description
根据历史表现数据分析受众画像、活跃时段、消费习惯。Use when analyzing audience or optimizing content strategy.
README (SKILL.md)
受众画像分析
描述
根据历史表现数据分析受众画像、活跃时段、消费习惯。Use when analyzing audience or optimizing content strategy.
触发条件
- 用户需要 受众画像分析 能力时
- 任务涉及 audience/analyze 时
输入
content_ids: 见 API 文档user_behavior_data: 见 API 文档time_range: 见 API 文档
输出
JSON 格式，包含执行结果或错误信息
API
- 路径:
/api/audience/analyze - 方法: POST
Usage Guidance
This skill appears internally consistent and low-risk because it is instruction-only and asks for no credentials or installs. Before installing, confirm where the /api/audience/analyze requests will be sent (who hosts the API) and review that API's privacy/security (the skill expects user_behavior_data which can include personal data). Also note the package has no homepage or source record — if you need provenance, ask the publisher for API documentation, expected request/response schemas, and any required authentication (none is declared but your environment may require it). If you will send sensitive user data, ensure TLS, authentication, and data minimization are enforced on the API side.
Capability Analysis
Type: OpenClaw Skill
Name: audience-analysis
Version: 1.0.0
The audience-analysis skill bundle is a standard configuration for an AI agent to perform audience profiling and behavior analysis. The files (SKILL.md, meta.json) define a legitimate API interface (/api/audience/analyze) and expected parameters without any evidence of malicious code, data exfiltration, or prompt injection attacks.
Capability Assessment
Purpose & Capability
Name/description (audience analysis) matches the declared inputs (content_ids, user_behavior_data, time_range) and the single API endpoint (/api/audience/analyze). There are no unrelated environment variables, binaries, or install steps.
Instruction Scope
SKILL.md only describes expected inputs, outputs, and a single POST API path. It does not instruct reading unrelated files, accessing system paths, or exfiltrating secrets. It references 'see API documentation' for data shape but otherwise stays on-topic.
Install Mechanism
No install spec and no code files — instruction-only means nothing will be written to disk or fetched at install time. This is the lowest-risk install posture.
Credentials
The skill requests no environment variables, credentials, or config paths. The inputs it expects (user_behavior_data, content_ids) are proportional to audience-analysis functionality.
Persistence & Privilege
always is false and the skill does not request persistent system privileges or to modify other skills. Autonomous invocation is allowed (platform default) but not combined with other red flags.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install audience-analysis - After installation, invoke the skill by name or use
/audience-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
audience-analysis 1.0.0
- Initial release with audience profile analysis capability.
- Supports analysis of historical performance data, active periods, and consumption habits.
- JSON output includes analysis results or error messages.
- Provides API at /api/audience/analyze with POST method.
Metadata
Frequently Asked Questions
What is audience analysis?
根据历史表现数据分析受众画像、活跃时段、消费习惯。Use when analyzing audience or optimizing content strategy. It is an AI Agent Skill for Claude Code / OpenClaw, with 432 downloads so far.
How do I install audience analysis?
Run "/install audience-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is audience analysis free?
Yes, audience analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does audience analysis support?
audience analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created audience analysis?
It is built and maintained by lr1677 (@lr1677); the current version is v1.0.0.
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