load-standards
load-standards is a Coding standards & language idioms skill for AI agents, published by datahub-project in the datahub-skills repository on GitHub. Skillspace rates load-standards D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Loads all 22 DataHub connector golden standards into context. Use before starting connector development or review work to ensure the full set of standards is available for reference. Triggers on: "load standards", "show standards", "what are the connector standards", "load golden standards", "review standards", or any request to load DataHub connector development guidelines.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 30
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
- Structured: ships references or scripts
- 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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