# U0593 Observability Cost Benefit Forecaster

> Build and operate the "Observability Cost-Benefit Forecaster" capability for Data Quality and Observability. Trigger when this exact capability is needed in mission execution.

- Skill: `zwright8/u0593-observability-cost-benefit-forecaster` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add zwright8/u0593-observability-cost-benefit-forecaster`
- Raw SKILL.md: https://api.skillmd.com/api/skills/zwright8/u0593-observability-cost-benefit-forecaster/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/u0593-observability-cost-benefit-forecaster

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# Observability Cost-Benefit Forecaster

## Why This Skill Exists
We need this skill because decisions are only as good as the quality and visibility of data. This specific skill prioritizes actions with the strongest net value.

## When To Use
Use this skill when the request explicitly needs "Observability Cost-Benefit Forecaster" outcomes in the Data Quality and Observability domain.

## Step-by-Step Implementation Guide
1. Define the scope and success metrics for `Observability Cost-Benefit Forecaster`, including at least three measurable KPIs tied to data drift and blind spots.
2. Design and version the input/output contract for freshness, drift, schema health, and telemetry coverage, then add schema validation and failure-mode handling.
3. Implement the core capability using cost-impact simulation, and produce forecasted ROI scenarios 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 data drift and blind spots, then run regression baselines.
6. Deploy behind a feature flag, monitor telemetry/alerts for two release cycles, and iterate thresholds based on observed outcomes.

## Required Deliverables
- Capability contract: input schema, deterministic scoring, output schema, and failure modes.
- Runtime profile: simulation-lab using cost-impact simulation to produce forecasted ROI scenarios.
- Orchestration integration: data-quality-and-observability:simulation-lab routing, approval gates, retries, and rollback controls.
- Validation evidence: unit, integration, simulation, regression-baseline suites and rollout telemetry.

## Operational Runbook
### Preflight
- Confirm the Observability Cost-Benefit Forecaster request scope, source evidence, and measurable success criteria before execution.
- Verify feature flag skill_0593_observability-cost-benefit-forec, approval gates, and rollback owner before autonomous use.

### Execution
- Execute cost-impact simulation with deterministic scoring and reproducible trace capture.
- Produce forecasted ROI scenarios plus scorecard, assumptions, and unresolved-risk notes.

### Recovery
- Fail closed when required signals, evidence, or approval gates are missing.
- Rollback to the last stable baseline when posture is critical or validation fails.

### Handoff
- Publish forecasted ROI scenarios, validation evidence, and telemetry links to downstream owners.
- Queue follow-up tasks for unresolved risks, threshold tuning, or approval review.

## Guardrails
- [quality] Require deterministic scoring and validation evidence before promotion.
- [reliability] Preserve retries, rollback controls, and failure-mode evidence for every run.
- [safety] Route critical posture or missing approval gates to human review before autonomous action.