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delay-online-rate-inspection

Extract delay-online-rate metrics from a dashboard and write daily JSON files.

Updated Aug 23, 2026
Search Tags:#dashboard#json#playwright#inspection#data-extraction#web-automation#okrs
One-click install
npx skills add https://github.com/gaojingqi12/inspection --skill delay-online-rate-inspection
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: delay-online-rate-inspection
Source: https://github.com/gaojingqi12/inspection/tree/main/OKR-inspection/delay-online-rate-skill
Command: npx skills add https://github.com/gaojingqi12/inspection --skill delay-online-rate-inspection

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires playwright, and includes scripts (resource) components.

What problem does it solve?

This skill automates the extraction and tracking of 延期上线率 metrics from a fixed dashboard, extracting daily values and producing per-day JSON for historical analysis, while JoyClaw compiles weekly trends from history.

Core Features & Use Cases

  • Automated web automation to open the target dashboard, apply date and department filters, run queries, and capture the resulting data.
  • Daily JSON generation including planned_online_requirements, delayed_online_requirements, and delay_online_rate, stored under out/history with a fixed schema.
  • JoyClaw reads historical daily JSON and synthesizes a weekly trend JSON for review and reporting.
  • Supports focused KPI like 延期上线率 with a deterministic pipeline and robust error handling, including partial/missing data notes when needed.

Quick Start

Run the script from the skill root using the recommended Python environment to generate today’s data and update the history.

Frequently Asked Questions about delay-online-rate-inspection

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

FAQPage Schema
How do I automate extracting delay-online-rate metrics from a dashboard using Playwright?▼

Playwright automates extracting delay-online-rate metrics by opening the target dashboard, applying date and department filters, running queries, and capturing data into daily JSON files for historical analysis.

Can I generate weekly trend reports from daily JSON history files for delay-online-rate tracking?▼

JoyClaw reads daily JSON history files containing planned_online_requirements and delayed_online_requirements to synthesize a weekly trend JSON for delay-online-rate reporting and review.

What data schema does the delay-online-rate inspection output use for daily JSON files?▼

Daily JSON files use a fixed schema storing planned_online_requirements, delayed_online_requirements, and delay_online_rate under an out/history directory to ensure deterministic historical tracking.

Does the web automation workflow handle missing or partial data during dashboard extraction?▼

The dashboard extraction workflow includes robust error handling that notes partial or missing data within the JSON output, ensuring the deterministic pipeline completes without failing silently.

How do I run daily delay-online-rate extraction scripts to update historical data?▼

Run the extraction script from the skill root directory using the recommended Python environment to generate today's delay-online-rate data and automatically update the JSON history files.

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