walkthrough
walkthrough is a Usability testing skill for AI agents, published by glebis in the humane-agentic-design repository on GitHub. Skillspace rates walkthrough D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Task-based evaluation of a real interface — take one job from the JTBD corpus, attempt it step by step as the person who has it, and record where the attempt breaks. Answers "can someone actually complete this?", which inspection and reaction methods do not. Runs a cognitive walkthrough (four questions per step) against a live URL, a prototype, screenshots, or the code, and reports task success against the outcome it was derived from. Use when you have a task and something operable to attempt it on. Triggers on walkthrough, cognitive walkthrough, task analysis, "can a user actually do this", "test this task", "where do people get stuck", "walk through the signup flow", "test this on mobile", "drive it in the browser", "пройди сценарий".
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 28
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
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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