time_series_length_range_filtering
time_series_length_range_filtering is an Exploratory analysis & notebooks skill for AI agents, published by THUIR in the MemoryBench repository on GitHub. Skillspace rates time_series_length_range_filtering D (69/100) and it passed the safety scan; the rating is based on static analysis only.
Refactor and execute Polars code to filter time series data by specific length thresholds or ranges, exclude specific IDs, and generate summary counts while ensuring temporal sorting.
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 84
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 91 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 2 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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