Error Taxonomy
CheckedThis skill organizes errors into a structured taxonomy for efficient identification & resolution, boosting debugging speed and accuracy.
Install on your platform
error-taxonomy. 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.
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.
Automated safety checks
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
- Scanned
- 9 files, 1,314 lines
About this skill
What it does
The error-taxonomy skill provides a structured classification of errors. It allows AI agents to categorize and understand different types of errors, facilitating more targeted debugging and resolution strategies. This skill helps in organizing error messages into meaningful groups based on their root cause or impact.
When to use it
- Debugging complex systems: When troubleshooting issues across multiple components, the skill can help organize and prioritize errors by type.
- Analyzing application logs: Categorize log entries to identify recurring patterns and potential problem areas within an application.
- Creating automated incident response workflows: Use error categories to trigger specific actions or notifications based on the severity and nature of the error.
- Improving developer documentation: Organize common errors into a structured format for easier understanding by developers.
Key capabilities
- Error categorization
- Structured classification
- Root cause analysis (implied)
Example prompts
- "Categorize this error message: 'Connection refused on port 8080'."
- "What are the common categories of HTTP errors?"
- "Group these error logs by type and severity."
Tips & gotchas
The effectiveness of this skill depends on the quality and completeness of its internal error taxonomy. Consider providing specific examples or context for more accurate categorization.