edge-canary-split
edge-canary-split is a Publishing & deployment skill for AI agents, published by Innei in the SKILL repository on GitHub. Skillspace rates edge-canary-split D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use when rolling out a rewritten site (new framework, new Vercel project) behind an existing production domain gradually — cookie-sticky percentage split between two origins via a Cloudflare Worker on the zone route, with hashed build assets offloaded to R2 so asset traffic never invokes the worker. Covers why middleware-based canaries break CDN caching, the same-zone-subrequest HTTP trap, cross-bucket cache poisoning, and an R2 layout that survives many concurrent versions.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 57
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
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.