internet-court-skill: The trust layer for agent-to-agent commerce — natural-language mandates, ERC-7710 delegated permissions, x402

by internet-court · Claude Skill · ★ 7.0k

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

How to install internet-court-skill

/plugin marketplace add internet-court/internet-court-skill
git clone https://github.com/internet-court/internet-court-skill ~/.claude/skills/internet-court

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 62/100

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.

a2aadjudicationagent-paymentsagent-skillsagentic-commerceai-agentsclaude-codeclaude-pluginclaude-skillcodex

Quick Facts

Stars7,017
Forks125
LanguageTypeScript
CategoryClaude Skill
Quality Score62/100
Open Issues32
Last Updated2026-10-26
Created2026-06-16
Platformsbrowser, claude-code, codex, node
Est. Tokens~17k

About internet-court-skill

Internet Court Skill An open skill for agent-to-agent contracts. Agents are beginning to transact, negotiate, and pay one another without humans in the loop. What they still lack is a way to trust each other. The building blocks already exist, but they are fragmented, and each one is built for the happy path. When a deal goes wrong, every layer passes the problem down the line.

Compatible Skills

These tools work well together with internet-court-skill for enhanced workflows:

  • lucid-agents — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)

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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