speckit-token-analyzer-baseline

Captures SPEC Kit token metrics and stores them as run, summary, and baseline files for workflows.

Updated May 18, 2026
One-click install
npx skills add https://github.com/KamiJeong/tech-bridge-book --skill speckit-token-analyzer-baseline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: speckit-token-analyzer-baseline
Source: https://github.com/KamiJeong/tech-bridge-book/tree/main/.agents/skills/speckit-token-analyzer-baseline
Command: npx skills add https://github.com/KamiJeong/tech-bridge-book --skill speckit-token-analyzer-baseline

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams measure and record token usage for Spec Kit command runs so they can compare cost, efficiency, and output quality across scenarios.

Core Features & Use Cases

  • Run tracking: Creates a structured run folder with metadata for a named test scenario.
  • Token measurement: Estimates input tokens, captures CLI-reported token data, and aggregates totals across commands.
  • Quality scoring: Scores outputs for commands that produce artifacts and summarizes the results.
  • Baseline management: Saves a completed run summary as a reusable baseline for later comparison.

Quick Start

Use the speckit-token-analyzer-baseline skill to capture a token analysis run for the label standard-specify-greeting with the specify, plan, and tasks commands and save it as a baseline.

Frequently Asked Questions about speckit-token-analyzer-baseline

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

FAQPage Schema
How do I capture token usage baselines for Spec Kit CLI command runs?

Token analysis baselines for Spec Kit runs are captured by estimating input tokens, parsing CLI JSON metrics, and saving aggregated totals and quality scores into structured baseline files within your project's .specify directory.

What is token analysis workflow measurement for specify, plan, and tasks scenarios?

Token analysis workflow measurement tracks token consumption and output quality scoring across multi-step Spec Kit commands like specify, plan, and tasks to evaluate and compare project cost and efficiency.

How do I measure and compare token costs across different Spec Kit test scenarios?

You measure and compare token costs by executing a named test scenario, aggregating CLI-reported token data into a run summary, and saving it as a reusable baseline for later comparison against other runs.

Does this token analyzer require a specific directory structure to store baselines?

Yes, this token analyzer requires projects to use a .specify token analysis directory structure where it creates structured run folders and saves baseline files for repeatable comparisons.

Can I score the output quality of artifacts generated during a Spec Kit run?

Yes, you can score output quality for commands that produce artifacts; the skill summarizes these quality scores alongside aggregated token metrics in the final run summary.

What is the best way to establish repeatable token baselines for CLI metrics?

The best way to establish repeatable token baselines for CLI metrics is to parse CLI JSON outputs, estimate token totals, apply quality scoring, and persist the completed run summary as a structured baseline file.