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Evidence-driven tracing — orchestrate competing hypotheses to explain observed outcomes
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。
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Evidence-driven tracing — orchestrate competing hypotheses to explain observed outcomes
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
Detect and clean AI-typical writing patterns in documents — em dashes, filler phrases, over-formality
Route questions to Claude, Codex, or Gemini for multi-perspective answers
Claude-Codex-Gemini tri-model orchestration — decompose, query, synthesize
Health check — verifies omg plugin is correctly installed and working
Quick reference — what omg agents and skills are available and how to use them
About omg — version, architecture, capabilities, and credits
| name | trace |
| description | Evidence-driven tracing — orchestrate competing hypotheses to explain observed outcomes |
| tags | ["debugging","analysis","causal"] |
Every trace preserves these 7 elements:
Rank evidence from strongest to weakest:
Higher-ranked evidence overrides lower-ranked.
Investigate the observation by generating 3+ competing hypotheses from different frames (code-path, config/env, measurement artifact). Gather evidence for and against each. Delegate to @omg:tracer for deep causal analysis when available.
For each top hypothesis, actively seek disconfirming evidence:
Down-rank hypotheses that:
Produce trace report. Persist to .omg/research/trace-{slug}.md.
After trace:
.omg/research/trace-{slug}.mdtrace, root cause, why did this happen
copilot -i "trace: why did the deploy fail?"