Digital Oracle is an AI Engineering skill for Claude Code, published by komako-workshop in digital-oracle.
Digital Oracle answers probability questions using trading data instead of opinions. It cross-validates prediction markets, prices, yields, options, and related signals to produce structured scenario reports for macro, geopolitics, and asset questions.
Digital Oracle is cataloged under AI Engineering on DirSkills. Digital Oracle comes from a repository tagged agent-skills, ai-agent, claude-code, codex and cursor.
Documentation
Markets are efficient. Price contains all public information. Reading price = reading market consensus.
Answer questions using only market trading data — no news, opinions, or statistical reports as causal evidence. If something is true, some market has already priced it in.
Five iron rules:
This is the opening of the README. Read the full README on GitHub.
Digital Oracle ranks #1633 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Digital Oracle against them. Open each page to compare what they document and how they install.
Digital Oracle is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #1633 by stars among them.