assess-load
assess-load is a Usability testing skill for AI agents, published by Owl-Listener in the inclusive-design-skills repository on GitHub. Skillspace rates assess-load D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Assess cognitive load across a complete multi-step process and produce a load map. Chains: cognitive-load-assessment, memory-load-reduction, wayfinding-navigation. Use when evaluating a checkout flow, onboarding sequence, application process, or any multi-step journey.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 82
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 2 other repositories, in 0 collections
- Scope
- Portable: works in any project. General cognitive-load assessment method for any multi-step flow
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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