openclaw-0270-policy-scoped-data-mediation

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Collab Privacy Preserving Data Broker. Use when work requires policy-scoped data mediation for Collaboration and Negotiation with guardrails, traceable execution, and measurable outcomes.

FDU-INS By FDU-INS schedule Updated 5/18/2026

name: openclaw-0270-policy-scoped-data-mediation description: Collab Privacy Preserving Data Broker. Use when work requires policy-scoped data mediation for Collaboration and Negotiation with guardrails, traceable execution, and measurable outcomes.

Collab Privacy Preserving Data Broker

Mission

We need this skill because multi-agent systems underperform without explicit conflict resolution. This specific skill enables collaboration while minimizing raw data exposure.

Activation Cues

  • Task requires policy-scoped data mediation in Collaboration and Negotiation.
  • Task needs explicit risk controls, approval gates, and traceable outcomes.
  • Task output must include artifact handoff for humans and agents.

Execution Plan

  1. Define the scope and success metrics for Collab Privacy Preserving Data Broker, including at least three measurable KPIs tied to deadlocks and degraded trust.
  2. Design and version the input/output contract for proposals, contention signals, and negotiated outcomes, then add schema validation and failure-mode handling.
  3. Implement the core capability using policy-scoped data mediation, and produce privacy-scoped exchanges with deterministic scoring.
  4. Integrate the skill into swarm orchestration: task routing, approval gates, retry strategy, and rollback controls.
  5. Add unit, integration, and simulation tests that explicitly cover deadlocks and degraded trust, then run regression baselines.
  6. Deploy behind a feature flag, monitor telemetry/alerts for two release cycles, and iterate thresholds based on observed outcomes.

Runbook

Preflight:

  • None specified.

Execution:

  • None specified.

Recovery:

  • None specified.

Handoff:

  • None specified.

Guardrails

  • [quality] Require validations before promoting outputs.

Success Metrics

  • Primary metric: deadlocks
  • Secondary metrics: degraded trust, decision drift
  • Review cadence: weekly

Output Contract

  • Return a concise execution summary with key decisions.
  • Return risk and mitigation notes with unresolved blockers.
  • Return artifact target: privacy-scoped exchanges.
  • Return recommended follow-up tasks for next wave execution.
Install via CLI
npx skills add https://github.com/FDU-INS/Insurance-Skills --skill openclaw-0270-policy-scoped-data-mediation
Repository Details
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