debug-e2e
debug-e2e is an End-to-end & browser testing skill for AI agents, published by AztecProtocol in the aztec-packages repository on GitHub. Skillspace rates debug-e2e D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Interactive debugging for failed e2e tests. Orchestrates the debugging session but delegates log reading to subagents to keep the main conversation clean. Use for ping-pong debugging sessions where you want to form and test hypotheses together with the user.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 445
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
- Apache-2.0
- Adoption
- Adopted by 1 other repositories, in 1 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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