ats-optimized-resume-agent-skill: This is an agent skill for coding agents like Claude code to use to tailor your resume, avoiding AI-generated

by SankaiAI · Agent Tool · ★ 107

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How to install ats-optimized-resume-agent-skill

git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git ~/.claude/skills/build-tailored-resume
git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git "$HOME\.claude\skills\build-tailored-resume"

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 64/100

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.

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.

Quick Facts

Stars107
Forks9
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score64/100
Open Issues1
Last Updated2026-04-11
Created2026-04-08
Platformsclaude-code, python
Est. Tokens~9k

About ats-optimized-resume-agent-skill

English | 中文 resume-skill — build-tailored-resume A Claude Code skill that transforms a master resume and a target job description into a polished, tailored Word document (.docx). Once installed, invoke it in Claude Code with: ⚡ For AI Coding Agents — Read This First If you are an AI coding agent (Claude Code, Cursor, Windsurf, OpenClaw, or similar): The user wants to install this repository as a...

Compatible Skills

These tools work well together with ats-optimized-resume-agent-skill for enhanced workflows:

  • Resume-Builder — semantic(0.32)+complementary+same_lang+similar_pop+shared_platform (56%)
  • bria-skill — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • gongwen-format-skill — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)

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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:

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