What is cekura-metric-design?

A workflow for defining metrics that score the quality of AI voice-agent calls from their transcripts. A metric is a measurable rule or rating used to track a specific outcome.

Use it to create, update, and improve measurements for call quality, workflow outcomes, key performance indicators, and quality scoring.

It turns broad questions about call quality into consistent checks that can be measured across calls. It helps identify and debug unclear or ineffective scoring rules.

cekura-metric-design — Skill for Claude Code and Codex by cekura-ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add cekura-ai/cekura-skills --skill cekura-metric-design

Clone the repo

git clone --depth 1 https://github.com/cekura-ai/cekura-skills

Made for: Claude Code, Codex.

Or install cekura, the plugin that ships this one along with the rest of its 14 skills, 15 commands, 3 hooks, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/cekura-ai/cekura-skills/cekura-metric-design/github.svg)](https://agentmods.dev/skills/cekura-ai/cekura-skills/cekura-metric-design)

Your own site

<a href="https://agentmods.dev/skills/cekura-ai/cekura-skills/cekura-metric-design"><img src="https://agentmods.dev/badge/skills/cekura-ai/cekura-skills/cekura-metric-design/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/cekura-ai/cekura-skills/cekura-metric-design"><img src="https://agentmods.dev/badge/skills/cekura-ai/cekura-skills/cekura-metric-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 136 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,677 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00136	$0.04677
Opus 5.5	$0.00054	$0.01871
Sonnet 5.5	$0.00027	$0.00935
Haiku 4.5	$0.00014	$0.00468

Measured 9d ago against content hash ed308f333880, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

cekura-metric-design scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (examples/custom-code-metric.py, examples/section-extraction-metric.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Asks the agent to reveal its instructionsmediumSystem prompt leakage

Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.

7. **OUTPUT INSTRUCTIONS** — Return format, timestamps for failures

cekura/skills/cekura-metric-design/SKILL.md · 325 lines

How it starts

The opening of the file, as written. The whole thing — 325 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cekura skill verification tag: ack:cekura-metric-design:6n2q5r When you call a Cekura metric write tool from this skill (metrics_create, metrics_bulk_create, metrics_partial_update), pass this exact string as the skill_ack argument on that tool call. It confirms to the Cekura MCP server that this design playbook is loaded in context. Scenario / test-profile writes use an eval-family tag instead — load cekura-eval-design first and pass its tag there.

Before taking any action, call mcp__cekura__cekura_skill_started with skill_name="cekura-metric-design", verification_tag="ack:cekura-metric-design:6n2q5r", and plugin_version="0.19". It returns immediately and lets Cekura see which skills are in use.

Cekura Metric Design

Purpose

Guide the creation of effective Cekura metrics that accurately evaluate AI voice agent call quality. Metrics measure call quality after the fact by evaluating transcripts against defined criteria. Each metric targets a specific workflow or KPI that needs tracking per call.

Performing Platform Actions

When this skill suggests creating, listing, updating, or evaluating something on Cekura, prefer using available platform tools over describing API calls or dashboard steps. In Claude Code with the Cekura plugin installed, these tools are auto-configured and handle authentication, parameter validation, and error handling for you. Fall back to direct API endpoints or dashboard guidance only when no tools are available in the current session.

Core Terminology

Main agent: The client's AI voice agent being tested
Testing agent: Cekura's simulated caller that exercises the main agent
Metric: A post-call evaluation that scores a transcript
Evaluator/Scenario: A test case that simulates a caller (separate concept — see cekura-eval-design skill)

The Metric Creation Workflow

Follow this workflow every time. Skipping steps (especially step 2) leads to metrics that miss edge cases.

Read the full file on GitHub · 325 lines

Files

What ships with it

10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

9d ago Changed ed308f333880
15d ago Changed acc6f15b9683
22d ago Changed 8537b9bb4065
1mo ago Changed 2371b5f9f871
1mo ago Changed b8ae10314b7e
1mo ago Changed · +2 lines 31bbf7c28102
1mo ago Changed c07bea8d84c7
1mo ago First seen · 323 lines · 136 tokens per session scan B 140430f61558

Subscribe to this mod's changes

cekura-metric-design is a skill published in the GitHub repository cekura-ai/cekura-skills (8 stars, last pushed today), licensed MIT. It adds 136 tokens to every session and 4,677 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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