consumerResearch消费者人群画像分析
v1.0.0消费者调研能力；支持目标人群画像分析、核心需求挖掘、问卷设计与数据处理；当需要进行消费者洞察、产品定位或用户研究时使用
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byTinker@cloudyxuq
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The skill's name, description, included files (questionnaire template, research guidelines, a script that generates web_search queries and saves JSON reports) and runtime instructions are coherent with consumer research. However, SKILL.md lists a python dependency (pandas==1.5.0) even though the shipped script does not import or use pandas; registry-level metadata lists no required binaries/env. This is likely an unnecessary/leftover dependency and should be cleaned up, but it does not indicate intent to do something unrelated to the stated purpose.
Instruction Scope
Runtime instructions restrict actions to performing web searches (via a web_search tool), designing questionnaires, collecting/storing survey results into data/consumer_data/, and generating reports. The script only formats search queries and reads/writes local JSON/MD files. There are no instructions to read arbitrary system files, access credentials, or transmit data to unexpected external endpoints.
Install Mechanism
There is no install spec in the registry (instruction-only), which is low risk. SKILL.md names a python dependency (pandas==1.5.0) under dependency but no install mechanism is provided; additionally the included Python script does not use pandas. This mismatch is a packaging/information inconsistency — not an immediate security risk but it may confuse users about required runtime packages.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The code writes only to a local workspace directory (data/consumer_data). There are no requests for unrelated secrets or access to external service tokens, which is proportionate to the stated task.
Persistence & Privilege
The skill is not set to always:true and does not request elevated platform privileges. It stores its own outputs under data/consumer_data/ only and does not attempt to modify other skills or global agent configuration. Autonomous invocation is permitted by default but is not combined with other red flags.
Assessment
This skill is coherent with consumer research work: it generates search queries, saves profile/needs data under data/consumer_data/, and can produce a report and questionnaire template. Before installing, consider: 1) The SKILL.md names pandas but the script does not use it — verify whether your environment needs to install pandas or whether the dependency is extraneous. 2) The skill writes survey data to workspace files; do not feed it real personal data (PII) unless you confirm storage, retention, and consent/compliance requirements. 3) Review the included script if you will run it in your environment (it currently only prints queries and reads/writes JSON/MD). 4) If you expect automatic network activity, note the skill relies on a 'web_search' tool (the skill itself does not perform HTTP requests). If any file or behavior seems unexpected, inspect or run in an isolated environment first.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.