list-learnus-courses
Read the authorized user's live LearnUs dashboard first and return the visible course index as a deduplicated structured list; use a user-supplied screenshot,…
Check a privacy-minimized, user-provided Yonsei RMS participant snapshot for project-period bounds, duplicate assignments, missing allocation data, and overlapping allocation above 100 percent. Use when a researcher wants an offline participant consistency review without
$ npx -y skills add mrcha033/yonsei-skills --skill check-rms-participants --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/check-rms-participantsContext preview
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Check a privacy-minimized, user-provided Yonsei RMS participant snapshot for project-period bounds, duplicate assignments, missing allocation data, and overlapping allocation above 100 percent. Use when a researcher wants an offline participant consistency review without
name: check-rms-participants description: Check a privacy-minimized, user-provided Yonsei RMS participant snapshot for project-period bounds, duplicate assignments, missing allocation data, and overlapping allocation above 100 percent. Use when a researcher wants an offline participant consistency review without querying or changing RMS.
Check declared participant periods and allocations within one supplied project.
Provide `captured_at`, `project_code`, `project_period`, and `participants`:
python3 "$SKILL_DIR/scripts/check_rms_participants.py" --input rms-participants.json
`project_period` and every participant assignment use ISO `start_date` and `end_date`. Each assignment requires a locally chosen, pseudonymous `participant_key` and `role`; `status` and `allocation_percent` are optional. Do not include names, contact details, student or employee IDs, government identifiers, or financial identifiers.
The checker reports assignments outside the project period, exact duplicate assignments, and overlapping supplied allocations above 100 percent. Missing allocation values remain in `unknowns`; they are never guessed.
Official manual context: <https://research.yonsei.ac.kr/research/data_manual.do?articleNo=114666&mode=view>
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