bls

Query and manage Baidu Cloud Logs across log stores.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/EsunR/skills --skill bls
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bls
Source: https://github.com/EsunR/skills/tree/main/bls/skills
Command: npx skills add https://github.com/EsunR/skills --skill bls

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Baidu Cloud Logs (BLS) is a comprehensive logging service, but querying, analyzing, and exporting logs across multiple stores can be cumbersome and slow. This skill provides an end-to-end workflow to query, analyze, perform deep trace analysis, and download logs, enabling faster debugging, better incident reporting, and streamlined log-driven decision making.

Core Features & Use Cases

  • Interactive log querying: fetch and view logs from one or more log stores using natural-language prompts converted into precise queries.
  • Log analysis and reporting: generate summaries, error distributions, and trend insights from queried data.
  • Deep trace / cross-log analysis: select representative request IDs and reconstruct end-to-end request flows across services.
  • Log download and export: save results locally in JSON or CSV formats for archival or sharing.
  • Cross-log-set tracing: combine related logs from app and SSR streams to trace a single user request.

Quick Start

Ask me to query, analyze, or download logs for a chosen logStore within a UTC time window.

Frequently Asked Questions about bls

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

FAQPage Schema
How do I query and download Baidu Cloud logs across multiple log stores?

Querying and downloading Baidu Cloud logs across multiple stores is done by specifying parameters like logStoreName, project, and query, then exporting the fetched results locally in JSON or CSV formats.

Can I trace a single user request across different log sets in BLS?

Cross-log-set tracing in BLS allows you to combine related logs from app and SSR streams by selecting representative request IDs to reconstruct end-to-end request flows across services.

What is the best way to analyze log analysis reports using natural language?

Generating log analysis reports involves converting natural-language prompts into precise queries to fetch logs, then producing summaries, error distributions, and trend insights from the queried data.

How does UTC time handling work when querying log stores?

UTC time handling for log queries requires defining start and end parameters to establish a specific time window, ensuring accurate log retrieval within the selected log store.

Does the BLS log query skill support deep trace analysis for incident reporting?

The BLS log query skill supports deep trace analysis by selecting representative request IDs and reconstructing end-to-end request flows, enabling faster debugging and better incident reporting.