review-collect

review-collect is a Customer feedback analysis skill for AI agents, published by zpoint in the vibe-seller repository on GitHub. Skillspace rates review-collect D (69/100) and it passed the safety scan; the rating is based on static analysis only.

Collect product ratings + full customer-review history from Amazon (Seller Central / storefront) and noon, for every product in a store's catalog, and dump them as generic versioned JSON under store-data/<slug>/reviews/. Read-only: NEVER posts, replies to, edits, or deletes anything on Amazon or noon — it only reads review pages. Load this skill for any task that says collect/gather/refresh product reviews or ratings, build a review dataset, or audit customer ratings across a store. Produces one JSON per product (reviews/v1 contract) + a _MANIFEST.json index the server completeness reviewer checks. Defaults to FULL review history every run (idempotent, dedup by review id); accepts a per-(platform,country) scope from the store's metadata.json.

Grade
D
Quality
69 / 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.

View source on GitHubzpoint/vibe-seller

Our review

Architecture
97 / 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

  • over-broad allowed-tools ('*')

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

Better-rated skills in Customer feedback analysis

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