catalyst-activity-analysis-with-outlier-removal-inactivation-labeling-and-control-anchoring
catalyst-activity-analysis-with-outlier-removal-inactivation-labeling-and-control-anchoring is a Scientific data analysis & plotting skill for AI agents, published by ECNU-ICALK in the AutoSkill repository on GitHub. Skillspace rates catalyst-activity-analysis-with-outlier-removal-inactivation-labeling-and-control-anchoring D (69/100) and it passed the safety scan; the rating is based on static analysis only.
Automates catalyst activity analysis from CSV: computes per-sample mean conversion or degradation rate after 3-sigma outlier removal within each group, anchors 'Control' (case-insensitively detected) at the first bar position with distinct gray styling, sorts remaining samples by descending mean activity, generates a publication-ready bar chart with Chinese/English label support, and annotates samples with mean <5% as 'INACTIVATION ZONE'. Supports catalytic conversion and photocatalytic degradation data.
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 518
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- Not declared. Check the repository before reusing it.
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.