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MetricsAgent

Extract quantitative metrics from verified workflow outcomes and record them to ledgers.

1|Updated Jan 29, 2026
Search Tags:#workflow#performance#analytics#metrics#reporting#quality
One-click install
npx skills add https://github.com/farmountain/sdlc_agent_swarm --skill metricsagent
Or copy as Structured Prompt for Agentโ–ผ
Please help me install this Agent Skill.
Skill: MetricsAgent
Source: https://github.com/farmountain/sdlc_agent_swarm/tree/main/vscode-sdlc-swarm/templates/.agents/skills/metrics-agent
Command: npx skills add https://github.com/farmountain/sdlc_agent_swarm --skill metricsagent

SYSTEM DOCUMENTATION & REQUIREMENTS

๐Ÿ’ก This Skill includes references (resource) components.

What problem does it solve?

This Skill captures and quantifies key performance indicators from successful workflows, providing objective data for process improvement and auditing.

Core Features & Use Cases

  • Metric Extraction: Gathers quantitative data from completed and verified tasks.
  • Outcome Analysis: Calculates metrics like lead time, rework, and quality scores.
  • Ledger Recording: Persists metrics in designated memory ledgers for historical tracking.
  • Use Case: After a code generation workflow successfully passes all verifications, this Skill records its lead time, evidence completeness, and a quality score to the metrics ledger.

Quick Start

Use the MetricsAgent skill to record metrics for the completed 'build-web-app' workflow.

Frequently Asked Questions about MetricsAgent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract workflow performance metrics from successful build outcomes?โ–ผ

Workflow performance metrics are extracted from verified, PASS outcomes by analyzing lead time, evidence completeness, rework count, risk level, and quality score to create a Metrics Record.

What workflow analytics are captured when a software task passes verification?โ–ผ

Workflow analytics captured include lead time, evidence completeness, rework count, risk level, and an outcome quality score, all quantified from successfully verified tasks.

How do I record quality metrics to a ledger for BUILD_SWARM or RUN_SDLC contexts?โ–ผ

Quality metrics are recorded to specified memory ledgers by persisting the Metrics Record data for BUILD_SWARM or RUN_SDLC contexts to enable historical tracking and auditing.

Do I need a fully verified workflow before calculating reporting metrics?โ–ผ

Yes, a fully verified workflow is required because metrics are exclusively extracted from PASS outcomes to ensure objective data for process improvement.

What is the best way to track rework count and risk level for software engineering workflows?โ–ผ

Tracking rework count and risk level is best handled by quantifying these metrics from verified workflow outcomes and recording the data to memory ledgers for historical analysis.

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