op1-marketing-seo-experiment-stage1

name	op1-marketing-seo-experiment-stage1
description	Run and audit OperatorOne Stage1 marketing SEO shadow experiments across input sync, context index, keyword graph, experiment synthesis, and Ready/Hold/Drop queueing. Use when asked to run SEO experiments, execute 1/2/3 validation rounds, verify reproducibility, or summarize queue and scoreboard outputs for op1_marketing. Use when this capability is needed.
metadata	{"author":"Daihaolin201"}

Stage1 SEO Experiment Runner (Shadow)

Objective

Run the Stage1 SEO pipeline in shadow mode and produce auditable artifacts under research/stage1_marketing_seo/.

Single-cycle run

From workspace root:

./scripts/run_marketing_seo_stage1.sh --mode shadow --force

Check:

• research/stage1_marketing_seo/run.latest.json
• research/stage1_marketing_seo/experiments.queue.latest.json
• research/stage1_marketing_seo/scoreboard.latest.json
• research/stage1_marketing_seo/decision_log.latest.md

1/2/3 validation run

Use the bundled helper:

python3 {baseDir}/scripts/run_rounds_123.py

This executes:

1. Round1 baseline
2. Round2 controlled handoff perturbation
3. Round3 baseline restore + rerun

Then it writes snapshot artifacts and validation checks to:

• research/stage1_marketing_seo/rounds/<timestamp>/rounds_1_2_3.report.md
• research/stage1_marketing_seo/rounds/<timestamp>/rounds_1_2_3.report.json

Expected checks:

• R1 == R3 for queue/content reproducibility
• R2 != R1 for input-sensitivity

Guardrails

• Keep mode as shadow for Stage1 capability validation.
• Treat this as experiment generation/scoring/queueing only (not auto publish).
• If run status is blocked_input_incomplete, stop and report missing requirements from run.latest.json.input_sync.completeness.

References

• references/stage1-output-contract.md
• references/analysis-checklist.md

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Source: Daihaolin201/OperatorOne — distributed by TomeVault.