# Openclaw 0350 Policy Scoped Data Mediation

> Economic Privacy Preserving Data Broker. Use when work requires policy-scoped data mediation for Economic Optimization with guardrails, traceable execution, and measurable outcomes.

- Skill: `zwright8/openclaw-0350-policy-scoped-data-mediation` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds add zwright8/openclaw-0350-policy-scoped-data-mediation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/zwright8/openclaw-0350-policy-scoped-data-mediation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: zwright8 (https://skillmd.com/u/zwright8)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/zwright8/openclaw-0350-policy-scoped-data-mediation

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# Economic Privacy Preserving Data Broker

## Mission
We need this skill because missions need explicit tradeoff logic for cost, speed, and impact. This specific skill enables collaboration while minimizing raw data exposure.

## Activation Cues
- Task requires policy-scoped data mediation in Economic Optimization.
- 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 `Economic Privacy Preserving Data Broker`, including at least three measurable KPIs tied to overspending and low-impact allocation.
2. Design and version the input/output contract for budgets, costs, benefits, and opportunity values, 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 overspending and low-impact allocation, 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: overspending
- Secondary metrics: low-impact allocation, 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.