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Hydra Head Troubleshooter

Checked
flux-point-studios·vlatest·testing·MIT

This AI expertly diagnoses and resolves complex technical issues across multiple systems – a vital tool for rapid problem resolution.

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 flux-point-studios/cardano-agent-skills --skill hydra-head-troubleshooter -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

flux-point-studios

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 flux-point-studios/cardano-agent-skills at 727e02f3f7.

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

Commit
727e02f3f7
Manifest
skills/hydra-head-troubleshooter/SKILL.md
Scanned
6 files, 364 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

The hydra-head-troubleshooter skill analyzes and resolves issues within Cardano Hydra head deployments. It identifies bottlenecks, errors in state management, and potential conflicts between heads. This skill provides detailed diagnostic reports and suggests corrective actions to ensure stable and efficient Hydra operation.

When to use it

  • Debugging a slow or unresponsive Hydra head.
  • Investigating unexpected behavior or errors within a Hydra application.
  • Analyzing the performance of a newly deployed Hydra head.
  • Troubleshooting conflicts arising from multiple heads interacting.

Key capabilities

  • Hydra head state analysis
  • Bottleneck identification
  • Error reporting and diagnostics
  • Conflict resolution suggestions

Example prompts

  • "Analyze this Hydra head's performance logs and identify any bottlenecks."
  • "I’m seeing errors in my Hydra application; can you diagnose the problem?"
  • “What are the potential conflicts between these two Hydra heads?”

Tips & gotchas

This skill requires access to the relevant Hydra head deployment logs and configuration data. The accuracy of the diagnostic reports depends on the completeness and quality of the provided information.