delivery-stats

Parse Telegram delivery JSONL logs to report success rates, retries, and failures.

2|Updated Feb 22, 2026

Search Tags:#debugging #logs #analysis #delivery #stats #telegram

Ready to run

npx skills add https://github.com/RockaRhymeLLC/kithkit --skill delivery-stats

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: delivery-stats
Source: https://github.com/RockaRhymeLLC/kithkit/tree/main/.claude/skills/delivery-stats
Command: npx skills add https://github.com/RockaRhymeLLC/kithkit --skill delivery-stats

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you quickly understand the success rates, identify bottlenecks, and debug issues within your Telegram message delivery system by analyzing log data.

Core Features & Use Cases

Delivery Success Analysis: Provides an overview of successful deliveries, failures, and overall success rates.
Pattern Identification: Breaks down delivery performance by different layers (e.g., retry, stop-hook) and analyzes retry attempts.
Failure Debugging: Lists recent failures with relevant details like chat ID and elapsed time for quick troubleshooting.
Deduplication Insights: Analyzes message hashing to identify potential duplicate or stuck messages.

Quick Start

Show a summary dashboard of delivery statistics.

Frequently Asked Questions about delivery-stats

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

FAQPage Schema

How do I analyze Telegram delivery logs to find failure rates and bottlenecks?▼

To analyze Telegram delivery logs, you can parse JSONL log files to compute aggregate statistics based on event types and delivery layers. This process reports success rates, identifies bottlenecks, and highlights failure patterns for quick troubleshooting.

What is the best way to track retry patterns in Telegram message delivery logs?▼

Tracking retry patterns in Telegram delivery logs involves parsing JSONL files to break down delivery performance by different layers like stop-hooks. It analyzes retry attempts to help you understand and optimize your message delivery infrastructure.

How do I debug Telegram message delivery failures using JSONL log files?▼

Debugging Telegram message delivery failures using JSONL log files requires parsing the logs to list recent failures with relevant details. You can extract chat IDs and elapsed time to quickly troubleshoot and identify specific delivery issues.

Can I identify duplicate or stuck Telegram messages by analyzing delivery logs?▼

You can identify duplicate or stuck Telegram messages by analyzing message hashing within your delivery logs. This deduplication insight helps detect potential anomalies and ensures your message delivery system operates smoothly without redundant transmissions.

Do I need a specific log format to analyze Telegram delivery success rates?▼

Analyzing Telegram delivery success rates requires reading logs formatted as JSONL files, specifically targeting a file like logs/delivery.jsonl. The analysis relies on computing aggregate statistics from event types and delivery layers present in this structured log format.