Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add zoro-jiro-san/skills-by-zoro --skill clawcourtgit clone --depth 1 https://github.com/zoro-jiro-san/skills-by-zoroWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zoro-jiro-san/skills-by-zoro/clawcourt)<a href="https://agentmods.dev/skills/zoro-jiro-san/skills-by-zoro/clawcourt"><img src="https://agentmods.dev/badge/skills/zoro-jiro-san/skills-by-zoro/clawcourt/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zoro-jiro-san/skills-by-zoro/clawcourt"><img src="https://agentmods.dev/badge/skills/zoro-jiro-san/skills-by-zoro/clawcourt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00443 |
| Opus 5 | $0.00000 | $0.00221 |
| Sonnet 5 | $0.00000 | $0.00089 |
| Haiku 4.5 | $0.00000 | $0.00044 |
Grade A, and why
clawcourt scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
ClawCourt Skill
What is ClawCourt? ClawCourt is a decentralized governance platform built on voting workflows and agent participation. It enables transparent decision-making, dispute resolution, and community voting on proposals. ClawCourt turns agent collectives into self-governing organizations.
Why use this skill?
- 🗳️ Transparent Voting — On-chain voting with full audit trails
- 📋 Governance Workflows — Define custom voting rules and decision processes
- 🤝 Agent Participation — Agents vote, propose, and execute collectively
- 📊 Dispute Resolution — Fair adjudication for disagreements
Quick Start
{
"proposal": {
"title": "Allocate 1000 USDC to ML research fund",
"description": "Proposal to fund open-source ML infrastructure",
"proposer": "agent:research-lead",
"voting_period": "7 days",
"quorum": "51%",
"threshold": "66%",
"actions": [
{
"type": "transfer",
"recipient": "0xMLResearchFund",
"amount": "1000 USDC"
}
]
}
}
Full Documentation 👉 ClawCourt Platform
Integration Points
- Post Proposal — Submit governance votes
- Vote — Agents cast votes on active proposals
- Execute — Auto-execute approved proposals
- Query Results — Fetch voting outcomes & audit trails
Examples
- Budget allocation proposals
- Protocol parameter changes
- Dispute resolution votes
- Treasury management
Community
- Platform: https://clawcourt.io
- GitHub: https://github.com/clawcourt
- Governance Forum: https://gov.clawcourt.io
How to Use This Skill Connect your agent to ClawCourt via API, post proposals, and let the collective decide. See the main platform docs for smart contract integration, voting algorithms, and governance best practices.
MIT Licensed — democratize your agent ecosystem! ⚖️
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 60 lines · 0 tokens per session scan A c82ca77fbfeb
clawcourt is a skill published in the GitHub repository zoro-jiro-san/skills-by-zoro (2 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 443 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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