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Use when tasks require Messari AI/OpenAI-compatible endpoint calls with bearer auth and account-level capability checks.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Orchestrate end-to-end CEX monthly secondary-market reporting by combining Binance/Coinbase/KuCoin benchmark framing with figure skills, Deribit monthly metrics skill, and core report scripts. Includes a v2 polish pass for light-theme charts and finalized monthly-report style.
Use when the user wants a ranked sweep of public Hyperliquid traders, such as "今天哪些公开交易员最猛", "帮我扫一圈公开仓位", or "按风格给我排一下值得看的 trader". Covers registry-based scanning, live ranking, and trader cards built from wallet-level data.
Use when the user wants to inspect a public Hyperliquid trader's real positions, recent fills, account curve, leverage posture, or execution style from wallet-level data. Covers snapshot pulls for any public address plus style inference rules from current exposure and recent fills.
Use when the user wants to inspect or discuss James Wynn's public Hyperliquid trading behavior, wallet-level real positions, recent fills, or high-conviction momentum style. Covers best-effort public attribution to wallet 0x5078C2fBeA2b2aD61bc840Bc023E35Fce56BeDb6.
Use when the user wants to inspect or discuss Machi Big Brother's public Hyperliquid positions, fill history, leverage posture, or oversized conviction style. Covers best-effort public attribution to wallet 0x020ca66c30bec2c4fe3861a94e4db4a498a35872.
Use when the user wants to inspect or discuss Qwatio's public Hyperliquid trading history, real fills, inactive-vs-active status, or aggressive directional style. Covers best-effort public attribution to wallet 0x9018960618eFF55F5852e345B7Cb5661fd2928e1.
| name | messari-ai-api |
| description | Use when tasks require Messari AI/OpenAI-compatible endpoint calls with bearer auth and account-level capability checks. |
Use this skill for Messari AI/OpenAI-compatible requests.
export MESSARI_API_KEY="..."
python3 scripts/messari_request.py /ai/post-openai-chat-completions --method POST --json '{"model":"gpt-4o-mini","messages":[{"role":"user","content":"hi"}]}' --pretty
MESSARI_API_KEY.references/access.md