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attest

Calculate reliability metrics from the last 10 trials in reliability-log.jsonl files.

2|1|Updated May 2, 2026
Search Tags:#code review#stability#reliability#feature assessment#mumei
One-click install
npx skills add https://github.com/iroh4-labs/mumei --skill attest-iroh4-labs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: attest
Source: https://github.com/iroh4-labs/mumei/tree/main/skills/attest
Command: npx skills add https://github.com/iroh4-labs/mumei --skill attest-iroh4-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides a quick and detailed reliability assessment for a specified mumei feature, helping users determine if it's stable enough for deployment.

Core Features & Use Cases

  • Reliability Assessment: Computes a reliability metric based on the last 10 trials of a feature.
  • Feature-Specific Analysis: Allows users to focus on specific features, providing a tailored reliability view.
  • Use Case: When considering a feature for production, use this Skill to quickly check its stability and reliability before deployment.

Quick Start

Assess the reliability of the 'REQ-N-123' feature by running: /mumei:attest REQ-N-123

Frequently Asked Questions about attest

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

FAQPage Schema
How do I assess feature reliability for a specific mumei feature?▼

Feature reliability is assessed by analyzing the most recent 10 trials from the 'reliability-log.jsonl' file within the feature's directory. The Skill calculates the arithmetic mean of pass rates to provide a detailed stability metric.

Can I check feature stability before production deployment?▼

Feature stability is checked by computing a reliability metric from recent trial logs. This helps determine if a specific feature is stable enough for production deployment.

What is the best way to calculate pass rates from reliability logs?▼

Pass rates are calculated using the arithmetic mean of the last 10 trial results. This requires accessing the 'reliability-log.jsonl' file located in the target feature's directory.

Do I need specific log files to evaluate mumei feature stability?▼

Evaluating mumei feature stability requires access to 'reliability-log.jsonl' files within the feature's directory. Without these trial logs, the reliability metric cannot be computed.

Are there limitations when assessing feature reliability with recent trials?▼

Assessing feature reliability is limited to analyzing only the most recent 10 trials. If the 'reliability-log.jsonl' file lacks sufficient trial history, the stability metric may not reflect long-term trends.

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