# Op1 Marketing SEO Experiment Stage1 > 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. - Skill: `tomevault-io/op1-marketing-seo-experiment-stage1` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/op1-marketing-seo-experiment-stage1` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/op1-marketing-seo-experiment-stage1/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Marketing & Growth - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/op1-marketing-seo-experiment-stage1 --- # 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: ```bash ./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: ```bash 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//rounds_1_2_3.report.md` - `research/stage1_marketing_seo/rounds//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` --- > Source: [Daihaolin201/OperatorOne](https://github.com/Daihaolin201/OperatorOne) — distributed by [TomeVault](https://tomevault.io).