pi: A pure-Go port of pi — the pi-ai unified multi-provider LLM API, pi-agent-core agent loop, and pi-coding-agent

by sky-valley · Agent Tool · ★ 85

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

Security audit verdict: SAFE · quality 63/100

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.

agent-harnessai-agentai-coding-agentanthropicclaudecoding-agentearendilgeminigogolang

Quick Facts

Stars85
Forks15
LanguageGo
CategoryAgent Tool
LicenseMIT
Quality Score63/100
Open Issues1
Last Updated2026-11-04
Created2026-06-09
Platformsclaude-code, gemini, go
Est. Tokens~17k

About pi

pi (Go) A pure-Go (golang) port of pi — the unified multi-provider LLM API, the agent loop, and the CLI — running natively in Go with no Node.js runtime. Looking for "pi for Go" / a "pi-go"? This is it. A pure-Go port of pi, Mario Zechner's agent harness and self-extensible coding agent — built so heavy Go shops can run pi natively without wrapping a Node.js process.

Compatible Skills

These tools work well together with pi for enhanced workflows:

  • san — semantic(0.23)+complementary+shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (74%)

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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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