iSparto: Open-source cross-provider AI dev team for solopreneurs, built on Claude Code + Codex CLI

by BinaryHB0916 · MCP Server · ★ 57

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

How to install iSparto

git clone https://github.com/BinaryHB0916/iSparto.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 66/100

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-teamautomationclaude-codecodexcodex-clicross-providerdeveloper-toolsmcpmulti-agentopenai

Quick Facts

Stars57
Forks9
LanguageShell
CategoryMCP Server
LicenseMIT
Quality Score66/100
Open Issues3
Last Updated2026-06-10
Created2026-03-17
Platformsclaude-code, cli, codex, mcp
Est. Tokens~121k

About iSparto

中文版 iSparto is an open-source cross-provider AI dev team for solopreneurs, built on Claude Code + Codex CLI. Claude plans, orchestrates, and reviews every line GPT implements; a zero-context GPT pass independently re-checks the plan against the product spec. Each provider's work is reviewed by the other. One command spins up the whole team; you direct it through the Team Lead.

Compatible Skills

These tools work well together with iSparto for enhanced workflows:

  • safe-agentic-workflow — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • molyanov-ai-dev — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)

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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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