InterviewRadar skill
A skill that builds a Chinese interview prep pack from a resume and a loose role direction, using recent candidate reports.
- 253 ★ on the repository
- Last commit
- MIT
Extended access
Why this level
- Scripts call external platforms, and the optional Xiaohongshu source needs a cookie from your account.
Install
- Works in
In your terminal, with SkillFoxx CLI
npx skillfoxx add skills/interviewradarDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewExtended accessThe tool runs code or makes network calls and only reads external data.
- Scripts call external platforms, and the optional Xiaohongshu source needs a cookie from your account.
This is third-party code. Review the repository files before installing.
What it does
InterviewRadar takes a resume (PDF, image or text) and a loose direction such as AI application development. The agent searches candidate interview reports on NowCoder, in GitHub repositories and on open blog pages. It drops material older than two years when a date is explicit, checks that each question is backed by a source excerpt, and ranks by independent sources weighted for recency. The result sits in `corpus_cache/prep_package.md`: Chinese Markdown with a gap analysis between resume and role and chains of follow-up questions tied to resume projects. Scripts in `scripts/` do the deterministic work while the agent reasons.
Who it is for. Job seekers in Chinese-language tech and nearby fields who prepare from their own resume rather than a generic question list.
Good fit when
- You need questions recently asked to candidates in the chosen direction.
- A resume with three projects becomes chains of follow-up questions per project.
- The direction is only loosely known, such as marketing or an internship.
- You want to see gaps between resume and role in a rating table.
- A pack item is checked against its source: each question has a link and an excerpt.
Not a fit when
- The pack must be in Russian or English: the result is generated in Chinese.
- Preparation is for one specific posting with a ready description, not a direction.
- The resume must not be shown to an agent and its search tools.
Example request
Run interview-radar with resume `/path/to/resume.pdf` and direction AI application development. Give me a prep pack with question chains for my projects.Limitations
Coverage depends on the direction, the accessibility of open pages and site anti-bot protection, and any degradation is flagged in the pack. The pack comes out in Chinese. The optional Xiaohongshu source needs a third-party MediaCrawler installed and a `web_session` copied from the browser into its config. That is access to your account, so enable it deliberately. Python 3.11 or newer and an environment with `requirements.txt` are required. Terms of use are described in `DISCLAIMER.md`.
How to disable. Delete `~/.claude/skills/interview-radar` or the cloned repository together with `corpus_cache/`. If you installed MediaCrawler, remove `web_session` from its config and delete `~/.mediacrawler`.
FAQ
Which sources work with no setup?
NowCoder, GitHub repositories with question banks and open blog pages read through the agent. Xiaohongshu is connected separately.
How are dates handled?
Material with an explicit date older than two years is dropped. Undated material stays but weighs less.
How do I run it in Codex?
Clone the repository, create `.venv`, install `requirements.txt` and ask Codex to follow `SKILL.md`.
Does the agent invent questions?
The README describes checking each question against a source excerpt. Follow-up chains are built on those questions from your resume.
What is needed to install it?
Python 3.11 or newer and a virtual environment with `requirements.txt`. In Claude Code the skill installs with one `npx` command.
Discussion
No questions or reviews yet.
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README in short
The agent reasons while scripts do collection, date filtering, excerpt checks and ranking. Any coverage degradation is stated in the finished pack.