Helps design and refine PsychoPy experiments by clarifying research focus, specifying variables, structuring hypotheses, and planning analysis for rigorous a...
Security Analysis
high confidenceThis is a non-executable PsychoPy guidance skill that stays aligned with experiment design and troubleshooting.
The artifact's stated purpose is to help design, build, troubleshoot, and document PsychoPy/PsychoJS experiments, and the content stays within trial structure, condition files, timing, data checks, and proposal-style documentation.
Instructions are practical workflow guidance and do not request prompt overrides, hidden behavior, credential use, unrelated authority, or automatic actions.
The package contains a single SKILL.md markdown file with no executable scripts, dependencies, install hooks, or package execution steps.
The skill may ask users to provide screenshots, error messages, experiment details, or CSV/Excel data files; this is proportionate for PsychoPy troubleshooting but users should avoid sharing identifiable participant data.
No persistence, background execution, privilege escalation, credential access, browser/session use, local indexing, or long-running worker behavior was found.
Guidance
Reasonable to install for help with PsychoPy or PsychoJS experiment design. If using it to inspect research data, share anonymized files only and remove participant-identifying information first.
Latest Release
v1.0.1
- Updated skill to focus on PsychoPy experiment design and troubleshooting, replacing previous academic writing guidance. - Added steps for building trial structures, preparing condition files, and data checking for psychological/behavioral experiments. - Included use cases such as online deployment, error diagnosis, and practical recommendations for adapting tasks to clinical or special populations. - Provided clear output templates and example prompts specifically tailored for PsychoPy Builder and PsychoJS users.
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