swe-interview-coach: Turn Claude Code into your SWE interview coach — behavioral, system design & coding training/mocks, all local

by kirilxd · Claude Skill · ★ 75

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install swe-interview-coach

/plugin marketplace add kirilxd/swe-interview-coach
/plugin install swe-interview-coach@kirilxd-plugins

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 55/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

algorithmsbehavioral-interviewclaude-codeclaude-code-plugincoding-interviewdsainterview-prepleetcodemock-interviewsystem-design

Quick Facts

Stars75
Forks15
LanguageShell
CategoryClaude Skill
LicenseMIT
Quality Score55/100
Last Updated2026-07-20
Created2026-05-17
Platformsclaude-code, cli
Est. Tokens~10k

About swe-interview-coach

swe-interview-coach Turn Claude Code into your SWE interview coach — behavioral, system design & coding mocks, all local. Get started in 10 seconds Then open Claude Code in your interview-prep directory (e.g., ) and run: What it does Builds a canonical bank of STAR stories from your résumé or experience, maps them to each company you're targeting (with their values and JD), runs realistic mock...

Compatible Skills

These tools work well together with swe-interview-coach for enhanced workflows:

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools