smoke-testing
smoke-testing is an Integration & environment testing skill for AI agents, published by vavallee in the bindery repository on GitHub. Skillspace rates smoke-testing D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Use when deciding whether to run an out-of-process test suite (real binary or live instance) — picks between `make smoke`, `make abs-contract`, and `make predeploy-smoke` after the unit suite passes but you've changed handler wiring, scheduler jobs, downloader integration, ABS imports, or anything that boots the binary. For the routine pre-PR matrix (lint / vet / test / typecheck / build) see the `testing` skill.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 325
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
- 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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