بنقرة واحدة
trace
Evidence-driven tracing — orchestrate competing hypotheses to explain observed outcomes
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Evidence-driven tracing — orchestrate competing hypotheses to explain observed outcomes
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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?"