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Structured Logging

Checked
cleanexpo·vlatest·devops·MIT

This skill generates structured logs for easier analysis & debugging, improving application observability and troubleshooting efficiency.

Repository

Install on your platform

This skill no longer installs under the name structured-logging. cleanexpo/nodejs-starter-v1 is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

cleanexpo

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned cleanexpo/nodejs-starter-v1 at 7b45925bd4.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
7b45925bd4
Manifest
.skills/custom/structured-logging/SKILL.md
Scanned
9 files, 1,314 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to generate log messages in a structured format, typically JSON. This allows for easier parsing and analysis of logs by external systems or tools. It improves upon traditional logging by providing context and metadata alongside raw log events.

When to use it

  • Debugging complex applications: Quickly identify the source and context of errors within a system.
  • Monitoring application performance: Track key metrics and events for proactive issue detection.
  • Centralized Logging: Integrate logs with external logging services or dashboards for comprehensive analysis.
  • Automated Incident Response: Trigger automated workflows based on structured log data.

Key capabilities

  • Generates JSON formatted log messages.
  • Includes contextual information within log entries.
  • Supports metadata and key-value pairs in log output.

Example prompts

  • "Log an error with message 'Failed to connect' and severity 'critical'."
  • "Record a user action: type 'login', user ID '12345'."
  • "Create a performance metric entry for 'request latency' with value 75ms."

Tips & gotchas

The skill assumes familiarity with JSON formatting. Ensure the AI agent understands the desired structure and data types for log entries to avoid errors in output.