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Diagnose Generation Failure

Checked
speakeasy-api·vlatest·testing·Apache-2.0

Identifies root causes of failed content generation requests via Speakeasy API logs and error messages.

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 speakeasy-api/sdk-generation-skills --skill diagnose-generation-failure -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

speakeasy-api

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 speakeasy-api/skills at d2eab5991e.

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

Commit
d2eab5991e
Manifest
skills/diagnose-generation-failure/SKILL.md
Scanned
1 file, 120 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 helps identify the root cause of failures in AI agent generation processes. It analyzes error messages and logs to pinpoint issues like API rate limits, incorrect prompt formatting, or model errors. The goal is to provide actionable insights for resolving these failures and improving overall system reliability.

When to use it

  • Debugging Generation Errors: When an AI agent consistently fails to generate output, this skill can help determine why.
  • Analyzing API Issues: If you suspect rate limits or other API-related problems are causing generation failures.
  • Troubleshooting Prompting Problems: To identify if issues with prompt structure or content are leading to errors.
  • Improving System Reliability: Proactively diagnose potential failure points in your AI agent workflows.

Key capabilities

  • Error message analysis
  • Log file parsing
  • API rate limit detection
  • Prompt formatting error identification
  • Model error diagnosis

Example prompts

  • "Analyze this error message: '429 Too Many Requests'"
  • "What's causing these generation failures in my agent’s logs?"
  • "Can you identify any issues with the prompt format that might be causing errors?"

Tips & gotchas

This skill requires access to relevant error messages and log files from your AI agent system. Ensure sufficient logging is enabled to capture the necessary diagnostic information for accurate analysis.