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Error Detective

Listed
sickn33·vlatest·data·MIT

The Error Detective analyzes text for inconsistencies and potential errors, ensuring accuracy and improving content quality.

Repository

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 sickn33/agentic-awesome-skills --skill error-detective -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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/error-detective/SKILL.md
Scanned
0 files
Copies in repo
3 — 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

The error-detective skill provides a specialized interface for AI agents to identify, analyze, and report anomalies within system logs or data streams. It acts as an automated watchdog, flagging deviations from expected patterns to assist in rapid troubleshooting and maintenance workflows.

When to use it

  • Diagnosing unexpected failures in production environments by scanning error logs.
  • Validating data integrity when processing large batches of incoming information.
  • Monitoring system health during deployment or after configuration changes.
  • Generating detailed incident reports for human review based on detected irregularities.

Key capabilities

  • Automated anomaly detection within complex datasets.
  • Pattern recognition to distinguish noise from critical errors.
  • Structured reporting of findings for immediate action.

Example prompts

  • "Run the error-detective on these server logs and summarize any critical failures."
  • "Analyze this batch of user transactions using the error-detective skill to find data inconsistencies."
  • "Activate error-detective mode to monitor the output stream for any deviation from standard protocols."

Tips & gotchas

Ensure you provide clear context or baseline expectations when invoking the skill, as it relies on identifying deviations. While effective at flagging issues, the agent may require human verification to determine the root cause of flagged anomalies.