Error Detective
CheckedThe Error Detective skill identifies and explains coding errors in your code, saving you time debugging and improving understanding.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add claudchereji/visualverses --skill error-detective -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
claudchereji
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 claudchereji/visualverses at 5971350ec1.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 5971350ec1
- Scanned
- 1 file, 281 lines
About this skill
What it does
The claudchereji-error-detective skill helps identify and flag potential errors within text. It's designed to detect issues ranging from grammatical mistakes to logical inconsistencies, ultimately improving the quality of generated content. This skill can be used to enhance various AI agent workflows by providing a layer of error checking before final output.
When to use it
- Content Generation Review: Use it to review drafts of articles, stories, or code produced by other skills.
- Automated Proofreading: Integrate it into automated pipelines for ensuring high-quality written materials.
- Debugging AI Responses: Employ it when troubleshooting unexpected or inaccurate responses from an AI agent.
- Educational Tooling: Help students identify and correct errors in their writing by analyzing student work.
Key capabilities
- Error detection
- Flagging potential issues
- Improving content quality
Example prompts
- "Please review the following text for any errors: [insert text here]"
- "Can you check this paragraph for grammatical mistakes and logical inconsistencies? [insert paragraph here]"
- "Analyze this code snippet and highlight any potential errors or bugs. [insert code here]"
Tips & gotchas
The skill's effectiveness depends on the clarity and context of the input text. While it can identify many common errors, complex or nuanced issues may require human review.