waku: A native app for all your coding agents

by egoist · Codex Skill · ★ 1.6k

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

Security audit verdict: SAFE · quality 58/100

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.

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Quick Facts

Stars1,552
Forks184
LanguageRust
CategoryCodex Skill
LicenseGPL-3.0
Quality Score58/100
Open Issues159
Last Updated2026-10-02
Created2026-07-31
Platformsclaude-code, codex, rust
Est. Tokens~22k

About waku

Waku Waku is a fast, native desktop app for working with local coding agents. It is built in Rust with GPUI and keeps projects, sessions, transcripts on your machine. Download Waku Supported agents Waku works with: Amp Claude Code Codex CLI Cursor CLI Grok Build OpenCode Pi Install and authenticate at least one supported agent CLI before starting Waku.

Compatible Skills

These tools work well together with waku for enhanced workflows:

  • diri — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • paneflow — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • harness-experimental — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (59%)

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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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