# Openclaw 0370 Risk Weighted Sequencing

> Logistics Risk-Aware Scheduler. Use when work requires risk-weighted sequencing for Resource Allocation and Logistics with guardrails, traceable execution, and measurable outcomes.

- Skill: `zwright8/openclaw-0370-risk-weighted-sequencing` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds add zwright8/openclaw-0370-risk-weighted-sequencing`
- Raw SKILL.md: https://api.skillmd.com/api/skills/zwright8/openclaw-0370-risk-weighted-sequencing/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-0370-risk-weighted-sequencing

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# Logistics Risk-Aware Scheduler

## Mission
We need this skill because impact work fails when scarce resources are not routed intelligently. This specific skill times execution based on risk posture instead of urgency alone.

## Activation Cues
- Task requires risk-weighted sequencing in Resource Allocation and Logistics.
- 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 `Logistics Risk-Aware Scheduler`, including at least three measurable KPIs tied to supply shortfalls and fairness gaps.
2. Design and version the input/output contract for capacity, bottlenecks, and distribution plans, then add schema validation and failure-mode handling.
3. Implement the core capability using risk-weighted sequencing, and produce risk-gated schedules 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 supply shortfalls and fairness gaps, 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: supply shortfalls
- Secondary metrics: fairness gaps, 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: `risk-gated schedules`.
- Return recommended follow-up tasks for next wave execution.