.claude/skills/questionnaire-quality-checkerRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
对心理学问卷数据进行可复现的数据质量筛查,检查缺失比例、非法或超范围值、量表内直线作答和极端作答模式,并生成逐样本标记报告。当用户说“检查问卷数据质量”“筛查无效问卷”“检查直线作答”“检查异常作答”“questionnaire quality check”“screen invalid responses”或要求对多个不同计分范围的量表进行基础质量控制时使用。适用于 CSV 格式的心理学问卷数据。
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These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/questionnaire-quality-checkerRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/questionnaire-quality-checkerRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/questionnaire-quality-checkerRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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clawhub install @yunyue619/questionnaire-quality-checkerclawhub inspect @yunyue619/questionnaire-quality-checker --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:0ceee90fc2b2bcf1fab90b541760a4e5f8ab56e859cc03ab6b67ce41b7a36265examples/config.example.jsonexamples/demo_questionnaire.csvexamples/demo_report.jsonscripts/questionnaire_quality_checker.pyskill-card.mdSKILL.mdInitial release of Questionnaire Quality Checker. - Screens psychological questionnaire data in CSV format for missing data, out-of-range values, straightlining, and extreme response patterns. - Supports multiple scales with different scoring ranges via explicit configuration. - Outputs a JSON report summarizing flagged samples and provides per-respondent details for manual review. - Designed for transparency and reproducibility—flags samples for review instead of automatic exclusion. - Includes clear instructions for configuration, use cases, and result interpretation.