Skill audit report

Front End Interview audit report.

总结了前端面试过程中浏览器，计算机网络，数据结构与算法，HTML，CSS，JS，Vue，React已经实战经验等相关的面试知识。

EXPERIMENTAL · REVIEWNeeds reviewGenerated Jun 17, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Strong shortlist

Stars, maintenance, license, docs, install safety, permission surface, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

1.1K GitHub stars

Stars/forks activity

INFO

1.1K stars, 124 forks; issue activity unavailable in current metadata

Recent maintenance

FAIL

3y since push

License clarity

PASS

MIT

README/SKILL.md completeness

INFO

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

no major dependency risk hints in public metadata

Install availability

PASS

npx skills add lf2021/Front-End-Interview

Install command safety

PASS

standard package or runtime install path

Permission surface

PASS

filesystem or document access

Repository evidence

PASS

https://github.com/lf2021/Front-End-Interview

Review status

PASS

AI review data available

Checks

Install and adoption review

9 passed · 6 review

Install path

PASS

npx skills add lf2021/Front-End-Interview

Repository

PASS

https://github.com/lf2021/Front-End-Interview

License

PASS

MIT

Maintenance

FIX

3y since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

PASS

no major dependency risk hints in public metadata

Install command safety

PASS

standard package or runtime install path

Permission surface

PASS

filesystem or document access

Stars/forks activity

CHECK

1.1K stars, 124 forks; issue activity unavailable in current metadata

Adoption

PASS

1.1K GitHub stars

Warnings

Repository appears stale
Repository looks stale
Quality score needs review
Recent maintenance: 3y since push

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

Install path

Review the report before installing into production agents.

$ npx skills add lf2021/Front-End-Interview

Signals

Audit score: 72/100
Quality: 71/100
Trust: 82/100
Install safety: 92/100
Permission surface: 86/100
Maintenance: 3y since push
Events: No events yet
GitHub stars: 1.1K
Last push: Dec 16, 2023

Agent safety v2

56/100 · Review before install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Repository appears stale
56/100 agent safety score

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Repository appears stale

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