interview-prep
interview-prep is a Career & job search skill for AI agents, published by tinyfish-io in the tinyfish-cookbook repository on GitHub. Skillspace rates interview-prep D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Generate a structured interview preparation guide for any company by scraping real candidate experiences from Glassdoor, Blind, and Reddit in real time using parallel TinyFish agents. Use this skill whenever a user mentions preparing for an interview at a specific company, wants to know what a company's interview process is like, asks "what questions does X ask", "how hard is X's interview", "what should I prepare for X", "X interview experience", or any variation of wanting to know what actually happens in interviews at a named company. Returns a structured prep guide: most frequent topics, real questions that came up, actual difficulty level, what candidates wish they had studied, and role-specific patterns.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 2,075
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
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Requires the public TinyFish CLI and its scraping agents
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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