consensus-support-reply-guard

What This Skill Does

The consensus-support-reply-guard acts as a mission-critical safety layer for automated customer support interactions. It intercepts outgoing AI-generated drafts, subjecting them to a rigorous, multi-persona consensus evaluation. Rather than relying on a single, potentially hallucinating model, this skill aggregates multiple perspectives through a consensus-based board architecture. It is designed to identify high-risk content—such as unauthorized legal claims, PII (Personally Identifiable Information) leaks, or violations of internal company communication policies. When a draft is flagged, the guard either blocks the transmission or forces a rewrite, ensuring that only validated, compliant, and on-brand messages reach the customer. Furthermore, it creates auditable decision artifacts, documenting the reasoning behind every approval or rejection for long-term accountability.

Installation

You can integrate this skill into your environment using the following command via the OpenClaw CLI:

clawhub install openclaw/skills/skills/kaicianflone/consensus-support-reply-guard

Ensure that your environment has node and tsx installed to support the runtime execution of the guard binaries. Once installed, the skill operates within your existing workflow, requiring no additional network overhead as it processes decisions locally based on the defined consensus-guard-core logic.

Use Cases

• Regulated Enterprise Support: Essential for financial or healthcare industries where an accidental promise or disclosure could lead to compliance penalties.
• L1/L2 Automation Gates: Acts as a 'human-in-the-loop' substitute by using simulated persona consensus to review automated responses before they reach the user.
• Brand Reputation Management: Ensures that even when the support agent is an AI, the tone, style, and legal boundaries remain strictly within the company’s brand guidelines.

Example Prompts

1. "Review this draft reply for customer #8821 regarding the refund policy, checking specifically for any unauthorized legal guarantees."
2. "Execute consensus-support-reply-guard for the pending ticket #9902; prioritize 'legal-compliance' persona votes over 'customer-empathy' votes."
3. "Audit the last 10 blocked messages in the consensus board and provide a summary of the most common policy violation triggers."

Tips & Limitations

• Persona Configuration: The effectiveness of this guard is directly proportional to the quality of your persona set. Ensure your persona_set_id is well-maintained to provide diverse, actionable feedback.
• Idempotency: Always use the idempotent decision lookup feature to avoid redundant processing of the same ticket draft.
• Performance: While the guard does not make network calls, the aggregation of multiple persona evaluations is computationally intensive. Ensure adequate resource allocation for high-volume support queues.
• Limitations: This skill is a guardrail, not a replacement for policy. It will only block what it is instructed to recognize; regular updates to your board policy are required to catch new emerging risks.