grokbuild-proxy: 本地自托管的 Grok Build → Claude Code / OpenAI 兼容代理 | Local self-hosted Grok Build compatibility proxy

by GreyGunG · Claude Skill · ★ 158

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

How to install grokbuild-proxy

git clone https://github.com/GreyGunG/grokbuild-proxy.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 55/100

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.

anthropicclaude-codegolanggrokgrok-buildoauthopenaiproxyself-hosted

Quick Facts

Stars158
Forks42
LanguageGo
CategoryClaude Skill
LicenseMIT
Quality Score55/100
Open Issues2
Last Updated2026-07-11
Created2026-07-09
Platformsclaude-code, go
Est. Tokens~15k

About grokbuild-proxy

grokbuild-proxy 简体中文 | English 是一个本地、自托管的协议兼容代理，用于将使用者本人 合法持有的 Grok Build 账号接入 Claude Code、Anthropic SDK 和 OpenAI 兼容客户端。 项目将 Anthropic Messages 请求转换到 Grok Build Responses 后端，支持 流式输出、客户端工具、结构化输出、思考强度、CPA 风格 Thinking Block、 加密推理回放和 Grok 内置 Web Search。 [!CAUTION] 本项目是非官方、社区维护的技术学习与协议互操作研究项目，与 xAI、 Grok、Anthropic、OpenAI 及其关联公司无关，也未获得其授权、赞助或 认可。只能使用你本人合法持有并获准自动化操作的账号。使用本项目可能...

Compatible Skills

These tools work well together with grokbuild-proxy for enhanced workflows:

  • agent-network — semantic(0.38)+complementary+shared_fw(openai)+rare_topics+similar_pop+shared_platform (66%)

grokbuild-proxy alternative? Top 6 similar tools

Looking for a grokbuild-proxy alternative? If you're comparing grokbuild-proxy with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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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 Claude Skill tools