pi-anthropic-oauth: Pi extension for Anthropic OAuth with Claude Pro/Max

by leohenon · Agent Tool · ★ 114

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

Security audit verdict: SAFE · quality 72/100

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.

anthropicclaudepipi-agentpi-extensions

Quick Facts

Stars114
Forks31
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score72/100
Last Updated2026-11-04
Created2026-04-09
Platformsclaude-code, node
Est. Tokens~15k

About pi-anthropic-oauth

pi-anthropic-oauth Use Claude Pro/Max in Pi with browser OAuth. Features Claude Pro/Max login from Automatic token refresh Claude Code-compatible OAuth headers and prompt shaping No Anthropic API key needed Uses Pi's Anthropic model registry Adds Claude Opus 4.8 and Claude Fable 5 by default Auto-creates → symlink when missing Quick start Start Pi, then run Pi's login command: Choose: Complete...

Compatible Skills

These tools work well together with pi-anthropic-oauth for enhanced workflows:

  • garcon — semantic(0.27)+complementary+shared_fw(anthropic)+rare_topics+same_lang+similar_pop+shared_platform (72%)
  • pi — semantic(0.47)+complementary+rare_topics+same_lang+similar_pop+shared_platform (71%)
  • pi-extensions — semantic(0.40)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)

pi-anthropic-oauth alternative? Top 6 similar tools

Looking for a pi-anthropic-oauth alternative? If you're comparing pi-anthropic-oauth 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.

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  • mcp-server by e2b-dev · ⭐ 395

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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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