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Debug Logs

Checked
snaplogic·vlatest·testing

Quickly analyze SnapLogic pipeline logs to pinpoint errors, identify root causes, and accelerate troubleshooting efforts.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add snaplogic/snaplogic-robotframework-examples --skill debug-logs -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

snaplogic

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 snaplogic/snaplogic-robotframework-examples at b910cd1309.

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

Scanned
2 files, 332 lines
Copies in repo
2 — all of them scanned
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 allows AI agents to access and interpret debug logs. It's designed for troubleshooting automated processes, identifying errors in code execution, and understanding the flow of data within a system. The skill provides structured access to log information, enabling analysis and reporting on potential issues.

When to use it

  • Troubleshooting Failed Automation: Use this when an automated workflow fails and you need to understand why.
  • Debugging Code Execution: When code isn't behaving as expected, the skill can help pinpoint the source of the problem by examining log output.
  • Analyzing Data Pipelines: To identify bottlenecks or errors in data processing pipelines.
  • Monitoring System Health: Reviewing logs to proactively detect and address potential issues before they impact users.

Key capabilities

  • Access debug logs
  • Interpret log messages
  • Structured log information access
  • Reporting on potential issues

Example prompts

  • "Show me the latest error messages from the data ingestion pipeline."
  • "Summarize the key events logged during the last run of the order processing script."
  • "What were the timestamps associated with the 'connection refused' errors?"

Tips & gotchas

This skill requires access to the relevant log files. Ensure the AI agent has appropriate permissions and credentials to read these logs for accurate results.