Real Skill packageSource verifiedClawHub registry

mock-interview(zjh)

基于用户真实经历的模拟面试。引导录入经历后生成 5 道深挖题,在本地网页答题(支持语音),答完按 5 个维度打分并生成评分报告。当用户想练面试、模拟面试、准备面试、练习行为面试题时使用。

Identity and source

Publisher attribution2641183145-ossregistry owner unverified by skillvetai
Functional categoryAwaiting category reviewreview pending · 0% rule confidence
Package forminstruction with code23 recorded files
Canonical sourceClawHub registryclawhub:2641183145-oss:mock-interview
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/28/2026.claude/skills/mock-interview

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/28/2026.agents/skills/mock-interview

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 8/28/2026skills/mock-interview

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @2641183145-oss/mock-interview
clawhub inspect @2641183145-oss/mock-interview --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
22 / 23 inspected as text
Checked
8/28/2026, 10:23:46 PM
Scanner
0.1.3
Policy
1.0.3
7 inferred permission indicators
  • shell execution — automatically inferred
  • network access — automatically inferred
  • filesystem read — automatically inferred
  • filesystem write — automatically inferred
  • credential access — automatically inferred
  • browser control — automatically inferred
  • external write action — automatically inferred
2 dependency and API indicators
  • api: clawhub.ai
  • api: github.com
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
8/28/2026, 5:30:06 PM
Release binding
Matches this record
  • vt: clean
  • skillspector: suspicious
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:4108eb18d8381f2d07b1b9cf6e7a6ca048016b40c567a2c8cf7f5dfd19edf179
Show up to 23 recorded paths
  • __pycache__/console.cpython-314.pyc
  • .gitignore
  • api-contract.md
  • build_report.py
  • console.py
  • data/scores.example.json
  • data/session.example.json
  • LICENSE
  • README.md
  • references/intake.md
  • references/question-gen.md
  • references/rubrics.md
  • server.py
  • skill-card.md
  • SKILL.md
  • smoke_test.py
  • test_partial.py
  • test_validation.py
  • verify_depth.py
  • verify_report.py
  • wait.py
  • web/index.html
  • web/score-report.template.html

Source changelog

Initial release: structured, experience-driven mock interview with automatic scoring and feedback. - Guides users through 4 steps: experience intake, custom question generation, web-based answering, and detailed scoring report. - All questions cite user's real experiences and responses, avoiding generic or invented content. - Scoring and feedback are structured in 5 dimensions, with actionable, non-generic suggestions and rewrite examples. - Built-in scripts manage each stage—data intake, web server, waiting for user answers, scoring, and HTML report generation. - Designed for concise, referenceable user interactions; all files and steps clearly documented. - No user content is invented; all feedback is grounded in actual user input and performance.