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Heavy-Chain-Engineering
Heavy-Chain-EngineeringOFFICIAL
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metrics

Aggregate git tags, value-hypothesis.yaml, and telemetry.db into a markdown report.

8|1|Updated Feb 13, 2026
Search Tags:#automation#metrics#reporting#yaml#sqlite#telemetry#git-tags
One-click install
npx skills add https://github.com/Heavy-Chain-Engineering/etc --skill metrics-heavy-chain-engineering
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: metrics
Source: https://github.com/Heavy-Chain-Engineering/etc/tree/main/skills/metrics
Command: npx skills add https://github.com/Heavy-Chain-Engineering/etc --skill metrics-heavy-chain-engineering

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill aggregates process data, outcome assessments, and cost telemetry into a single, reproducible markdown report, reducing manual collection and interpretation overhead.

Core Features & Use Cases

  • Deterministic processing of process data from git tags into a concise markdown report.
  • Outcome evaluation by loading value-hypothesis.yaml for each feature and summarizing per role with validation status.
  • Cost analysis from .etc_sdlc/telemetry.db with a date range and event-type breakdown for project health insights.
  • Use Case: A team runs a weekly health check and shares a consistent summary across stakeholders.

Quick Start

Run the metrics skill to emit the current repository's weekly three-layer report to stdout.

Frequently Asked Questions about metrics

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

FAQPage Schema
How do I generate a deterministic metrics report from git tags and SQLite telemetry?▼

This skill generates a deterministic metrics report by aggregating git tags, value-hypothesis.yaml files, and SQLite telemetry data into a single markdown report output to stdout.

What is a three-layer metrics report for software development?▼

A three-layer metrics report combines process data from git tags, outcome assessments from YAML files, and cost telemetry from a SQLite database to summarize project health.

Can I automate weekly health check reporting without manual data collection?▼

Yes, you can automate weekly health check reporting by running this skill non-interactively to read on-disk sources and emit a consistent summary markdown report for stakeholders.

Does the report generation process require an interactive setup or database connection configuration?▼

No interactive setup is required; the process operates non-interactively, reading exclusively from on-disk sources including git tags, YAML files, and the local telemetry SQLite database.

How does YAML outcome evaluation work when summarizing feature value hypotheses?▼

YAML outcome evaluation works by loading value-hypothesis.yaml files for each feature and summarizing the validation status per role within the generated markdown report.

What are the limitations of using on-disk SQLite telemetry for cost analysis?▼

A key limitation is that cost analysis strictly reads from the local .etc_sdlc/telemetry.db SQLite file, meaning it cannot query external databases or remote telemetry streams.

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