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$qa / /qa command dispatches the virtual-follower agent in an isolated context: fork evaluation mode to review the latest content draft and return the five most impactful recommendations. Each recommendation carries a score and concise rationale. Use $qa after $content to validate a draft before it moves to publish — catching persona-misalignment, weak CTAs, or platform-pattern issues before they go live.
Invocation
What it does
- Runs in
context: fork— an isolated evaluation context that does not share state with the main session, ensuring objective scoring. - Reads
personas/_active.mdto resolve the active persona and loadspersonas/{active}/accounts.md. - Automatically picks up the latest saved file in
content/drafts/as the evaluation target when no explicit draft is provided. - Triggers the virtual-follower agent to run the full QA pipeline: multi-audience simulation, rolemodel-gap scoring, and platform pattern checks.
- Returns the TOP 5 recommendations with scores and concise rationale.
- Saves the full QA report to
content/qa/before returning the response. - Re-reads the saved QA report and includes the confirmed saved path in the response.
- If no draft file exists in
content/drafts/, the agent reports that QA is blocked rather than inventing an evaluation.
Prerequisites
A saved draft must exist before running QA:Output
The QA report is saved to:Guardrails & Notes
The
context: fork isolation means the virtual-follower’s evaluation cannot modify persona files or draft files. It is a read-only, side-effect-free analysis pass.- QA always targets the most recently modified file in
content/drafts/by default. If you have multiple drafts and want to target a specific one, ensure it is the latest file or rename it accordingly. - The agent will not fabricate a QA report if no draft is present. A clear blocked status message is returned instead.
- The virtual-follower must write a QA file before reporting success. If you receive a response without a confirmed
content/qa/path, the save failed — re-run the command. - QA report scores reflect persona-audience fit, rolemodel-gap alignment, and platform pattern adherence — not general content quality metrics.
Related agent
The$qa skill is executed by the virtual-follower agent. See the Virtual-follower agent page for details on multi-audience simulation, rolemodel-gap scoring, and TOP 5 draft recommendation logic.