e2e-self-iteration
e2e-self-iteration is an End-to-end & browser testing skill for AI agents, published by loonghao in the auroraview repository on GitHub. Skillspace rates e2e-self-iteration D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Integrates ProofShot visual proof recording with the self-improvement workflow. Use when: (1) E2E tests fail or detect visual regressions, (2) Agent needs to verify UI changes it made, (3) Running self-iteration loops (build → test → fix → retest), (4) Preparing PR proof artifacts for review.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 43
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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