copilot-proxy-api: Self-hosted GitHub Copilot bridge for Claude Code and Codex CLI with OpenAI Responses, Anthropic Messages

by voidsteed · Claude Skill · ★ 51

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

How to install copilot-proxy-api

npx copilot-proxy-api@latest start --claude-code
docker run -p 4141:4141 -v $(pwd)/copilot-data:/root/.local/share/copilot-proxy-api copilot-proxy-api

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.

anthropic-apiclaude-codecodex-cligithub-copilotllm-proxyopenai-responses-api

Quick Facts

Stars51
Forks9
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score74/100
Last Updated2026-10-11
Created2026-01-20
Platformsclaude-code, cli, codex, node
Est. Tokens~19k

About copilot-proxy-api

Copilot API Proxy for Claude Code and Codex Use your GitHub Copilot subscription with Claude Code, Codex CLI, and other OpenAI- or Anthropic-compatible clients through one self-hosted proxy. Quick Start With Node.js and an active GitHub Copilot subscription: Complete the GitHub sign-in, choose your models, then paste the generated Claude Code command into a new terminal.

Compatible Skills

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

  • copilot2api-go — semantic(0.61)+complementary+shared_fw(anthropic,openai)+rare_topics+similar_pop+shared_platform (82%)
  • cli — semantic(0.41)+complementary+shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (80%)

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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