adapt-environment
adapt-environment is a System & environment troubleshooting skill for AI agents, published by Agents2AgentsAI in the ata repository on GitHub. Skillspace rates adapt-environment D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Adapt code to work with a GPU node's installed environment. Use when an experiment fails due to dependency version mismatches, import errors, missing packages, or API incompatibilities between the code's expected environment and what's actually installed on the GPU node. Triggered by errors like 'ModuleNotFoundError', 'ImportError', version conflicts, or when the user says 'adapt this code to the environment'.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 91
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
- Apache-2.0
- Adoption
- Adopted by 0 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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