by internet-court · Claude Skill · ★ 7.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/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.
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.
| Stars | 7,017 |
| Forks | 125 |
| Language | TypeScript |
| Category | Claude Skill |
| Quality Score | 62/100 |
| Open Issues | 32 |
| Last Updated | 2026-10-26 |
| Created | 2026-06-16 |
| Platforms | browser, claude-code, codex, node |
| Est. Tokens | ~17k |
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.
These tools work well together with internet-court-skill for enhanced workflows:
Looking for a internet-court-skill alternative? If you're comparing internet-court-skill with other claude skill 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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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: