Spaced Repetition Teaching

Adaptive spaced repetition engine using the FSRS-6 algorithm (Free Spaced Repetition Scheduler, Ye et al. 2024). Manages flashcard reviews with scientificall...

This skill appears to implement a local FSRS-based spaced repetition tool and does not request credentials or network access, which is coherent with its description. However: 1) Inspect fsrs.py before running — the source bundled into the skill looks truncated at the end (a stray 'p' and truncation noted), so the advertised self-test may fail; fix or obtain a complete fsrs.py from the upstream reference before relying on it. 2) The CLI scripts update the card file in-place. Back up your markdown card file before using the tools and avoid pointing them at any file you can't afford to be rewritten. 3) Run the scripts in a sandbox or with a copy of your cards first to confirm behavior and formatting. 4) Because the skill's source/origin is 'unknown', prefer to manually review the code (which is short, pure Python) and ensure no modifications are made to unexpected paths. If you want to proceed safely: verify Python 3.6+ is available, test on a copy of your card file, and fix or replace the truncated fsrs.py self-test implementation.

Type: OpenClaw Skill Name: spaced-repetition-teaching Version: 1.0.0 The skill bundle implements a legitimate spaced repetition system using the FSRS-6 algorithm. The Python scripts (due_cards.py, review.py, fsrs.py) handle local file parsing and mathematical scheduling logic without any external dependencies, network access, or sensitive data exfiltration. The SKILL.md instructions are strictly focused on managing flashcard reviews and do not contain any prompt injection or unauthorized command execution patterns.