AI Skill MartBrowse skillsPromptsProgramsLearnWhat is a Skill?
 
← Back to list

Interview Candidate Assessment Report

Turns a resume plus job requirements into auditable back-office evidence files and an offline interviewer HTML report with a candidate profile, resume red flags, and 12–18 ready-to-read questions.

Docs & OfficeIntermediate★ 763⑂ 63AI score 9/10Last updated: Oct 30, 2026

What it does

  • Parses the candidate resume (including PDFs) and the job requirements into a structured chain: work outputs → key tasks → competencies → acceptable evidence → verification method.
  • Keeps a full back-office trail (job model, evidence ledger, source log, interview blueprint, scoring state) for audit and human review.
  • Produces a self-contained offline HTML for interviewers with exactly three modules: candidate overview, resume red-flag check, and 12–18 prioritized interview questions.
  • Every role question includes its purpose, what strong/average/weak answers look like, plus bonus and deduction signals; the HTML supports priority flags, answer notes, local-only autosave, export and clear.
  • Hard guardrails: photo, age, hometown and marital status never feed scoring or ranking; stop codes fire on contact-detail leaks, unconfirmed identity, or any automated adverse action.

Who it's for

  • Recruiters, hiring managers and team leads preparing structured interviews.
  • Anyone who wants resume claims (metrics, ownership scope) converted into concrete verification questions.
  • HR teams that must keep a reviewable record of how an assessment was formed.

Example uses

  1. "Here's a backend candidate's resume and the JD — build the interview script" → an HTML report with ~15 questions ordered by competency importance and explicit rating anchors.
  2. "These impact numbers look inflated, list what to verify" → a neutral red-flag list highlighting missing baselines, time ranges and calculation methods.
  3. "Assess this candidate for an AI/LLM engineering role" → loads the role adapter reference and builds a question set that includes a real work-sample task.

Not for candidate self-practice, background investigations, personality diagnosis, or automated reject/rank decisions.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/dongshuyan/compass-skills/HEAD/skills/assess-interview-candidate/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on AI Skill Mart.
Copy the skills/assess-interview-candidate folder from the GitHub repo dongshuyan/compass-skills into my ~/.claude/skills/assess-interview-candidate/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/dongshuyan/compass-skills.git && mkdir -p ~/.claude/skills && cp -r compass-skills/skills/assess-interview-candidate ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal.
  2. Clone the repository: git clone https://github.com/dongshuyan/compass-skills.git
  3. Create the skills folder if needed: mkdir -p ~/.claude/skills
  4. Copy just this skill: cp -r compass-skills/skills/assess-interview-candidate ~/.claude/skills/
  5. Verify Python with python3 --version — version 3.10 or newer is required by the bundled scripts.
  6. Restart Claude Code and ask something like "Build an interview assessment report from this resume and job description."
  7. Provide the resume file path and the job requirements; when the run finishes, open the generated HTML inside the case folder's output/ directory in your browser.
View source on GitHub ↗License: MIT