pie-ai-agent: Browser-automation agent for Chrome — natural-language tasks executed through native tool calling, scoped

by WiseriaAI · Agent Tool · ★ 182

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

Featured in: browser-use, Playwright MCP & AI Browser Agents

How to install pie-ai-agent

git clone https://github.com/WiseriaAI/pie-ai-agent.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 71/100

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.

agentic-aiai-agentanthropicbrowser-automationbyokchrome-devtools-protocolchrome-extensionclaudedeepseekfunction-calling

Quick Facts

Stars182
Forks8
LanguageTypeScript
CategoryAgent Tool
LicenseApache-2.0
Quality Score71/100
Open Issues10
Last Updated2026-08-10
Created2026-04-17
Platformsbrowser, claude-code, gemini, node
Est. Tokens~17k

About pie-ai-agent

Pie Browser-automation agent for Chrome — natural-language tasks executed through native tool calling, scoped Skills, CDP keyboard control, and a sandboxed, prompt-injection-resistant execution model. English · 简体中文 · Español (Latinoamérica) · 日本語 · Português (Brasil) Install · Configure · Privacy · Changelog · Roadmap · Architecture · Archive Why Pie Pie turns Chrome into a browser-automation...

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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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