anthropic-proxy-rs: A proxy server that intercepts Anthropic API requests and converts them to OpenAI-compatible format, enabling

Last updated: 2026-05-29 · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 73/100

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.

Quick Facts

Stars	93
Forks	36
Language	Rust
Category	Agent Tool
License	MIT
Quality Score	73/100
Open Issues	5
Last Updated	2026-05-29
Created	2025-11-15
Platforms	claude-code, rust
Est. Tokens	~25k

About anthropic-proxy-rs

anthropic-proxy-rs High-performance Rust proxy that translates Anthropic API requests to OpenAI-compatible format. Use Claude Code, Claude Desktop, or any Anthropic API client with OpenRouter, native OpenAI, or any OpenAI-compatible endpoint.

Compatible Skills

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

token_proxy — semantic(0.18)+complementary+shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (67%)
smg — semantic(0.16)+complementary+shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (66%)
claude-code-api-rs — semantic(0.21)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (60%)
anthropic-max-router — semantic(0.25)+complementary+shared_fw(anthropic,openai)+similar_pop+shared_platform (60%)

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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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