zlib: A command-line tool for Z-Library. Search, download, send to Kindle, and integrate with AI agents

by heartleo · Codex Skill · ★ 1.1k

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

How to install zlib

brew install heartleo/tap/zlib
go install github.com/heartleo/zlib/cmd/zlib@latest

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

Security audit verdict: SAFE · quality 74/100

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.

annas-archivebookcalibrecalibre-plugincalibre-webchatgptclaudeclicodexcommand-line

Quick Facts

Stars1,127
Forks86
LanguageGo
CategoryCodex Skill
LicenseMIT
Quality Score74/100
Open Issues2
Last Updated2026-10-21
Created2026-04-10
Platformsbrowser, claude-code, cli, codex, gemini, go
Est. Tokens~19k

About zlib

zlib A CLI for Z-Library. English | 中文 Features 🔍 Interactive search — browse results with , switch pages with 📥 Book download — by book ID, from search results, with live progress 📚 Download history — paginated history browser with download support 📖 Send to Kindle — deliver files to your Kindle address 🕒 Usage profile — view daily download quota 🎨 Themes — auto, mocha, latte, dracula,...

Compatible Skills

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  • mobilecli — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)

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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 Codex Skill tools