amazon-shared
amazon-shared is a Browser & computer-use automation skill for AI agents, published by zpoint in the vibe-seller repository on GitHub. Skillspace rates amazon-shared C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Common Amazon Seller Central / advertising-console mechanics — marketplace TLD map; version-aware navigation (New Seller Central 'NGS' vs classic, navigate by direct URL); sign-in as a challenge LOOP with Ziniao auto-fill of password / OTP (紫鸟验证码服务) / hosted passkey (已托管账号Passkey, native overlay → coordinate-click), Ziniao-stored-else-human rule; ad-console vs seller-central account caveat; capture rule. Prerequisite: every other amazon-* skill (amazon-ads, amazon-reports, amazon-invoice, amazon-listing / amazon-fbn / etc.) expects this loaded for cross-cutting auth and navigation patterns.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 25
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
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- 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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