by ssssssanjiu · Agent Tool · ★ 180
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/ssssssanjiu/clawd-conduit.git
Taken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 180 |
| Forks | 10 |
| Language | Shell |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67/100 |
| Last Updated | 2026-09-09 |
| Created | 2026-09-09 |
| Platforms | claude-code, cli |
| Est. Tokens | ~14k |
clawd-conduit Wire a desktop pet into what your Claude Code session is actually doing — all 15 hook events. 中文 · macOS · MIT When Claude Code asks you to pick between options, the card lands on the desktop — and the pet switches to its lightbulb "needs input" pose.
Looking for a clawd-conduit alternative? If you're comparing clawd-conduit with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
oh-my-zsh for Claude Code — 16 agents, 35 commands, 32 skills, 21 safety hooks in one install. v4.0 adds an ad
A desktop pet for macOS & Windows that monitors your AI coding agents (Claude Code, Codex, Cursor, Gemini...)
One-stop shop for AI skills and agents. Search 110K+ community skills, install and track them declaratively, a
Opinionated AI coding agent and dev environment automation for macOS
🐙 盯着 Claude Code 的桌面宠物:随 agent 状态变表情、弹消息气泡、一键授权,并统计 token 用量与花费。本地优先、MIT。
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
Explore other popular agent tool tools:
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: