food-review-review

food-review-review is a Travel, food & lifestyle skill for AI agents, published by samthebest in the dump repository on GitHub. Skillspace rates food-review-review D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Audit and RANK a set of restaurants by genuine food quality and authenticity by reading EVERY Google and TripAdvisor review (harvested via Apify) and clustering each one with parallel full-strength agents — never sampling, never an ML/embedding shortcut. Filters out non-food gripes (delivery, wait, price) and unsophisticated-palate complaints to surface the credible food signal, then produces a ranked, visual HTML report. Use when the user wants to find the best authentic food outlets among an explicit list of restaurants OR a category + location (e.g. "Indian restaurants in Norwich", "ramen in Brighton"). Token-intensive by design.

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
55

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
84 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
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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