troubleshooting-common-errors
troubleshooting-common-errors is a System & environment troubleshooting skill for AI agents, published by skforecast in the skforecast repository on GitHub. Skillspace rates troubleshooting-common-errors D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Diagnoses and fixes common errors when using skforecast, especially mistakes frequently made by LLMs generating skforecast code. Covers deprecated imports, wrong function names, missing parameters, and data format issues. Use when generated code produces errors or unexpected results.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 1,512
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- BSD-3-Clause
- Adoption
- Adopted by 1 other repositories, in 0 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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