flaky-specs
flaky-specs is an End-to-end & browser testing skill for AI agents, published by onsi in the biloba repository on GitHub. Skillspace rates flaky-specs D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Diagnose and prevent flaky Biloba specs — tests that pass locally but fail in CI, fail intermittently under `ginkgo -p`, or fail "somewhere else" than the line that's actually wrong. Biloba polls by default, so the headline rule is "don't reach for b.Immediate()"; the residual smells — single-shot `b.Run(expr,&x)` reads, the non-polling SendKeysToWindowImmediately/`*Immediately` verbs, AllowMissing for absent-on-type properties, optimistic-UI/server-reconciliation traps, and async-settling geometry/layout/document-order reads. Use when a browser spec is flaky, nondeterministic, order-dependent, or load-sensitive, or when reviewing a suite for latent races.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 25
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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