Agent Debugging
CheckedIdentifies and suggests fixes for logical errors and inefficiencies in agent code and workflows.
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 onesmartguy/next-level-real-estate --skill agent-debugging -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
onesmartguy
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 onesmartguy/next-level-real-estate at b8266e8105.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- b8266e8105
- Scanned
- 1 file, 1,013 lines
About this skill
What it does
The agent-debugging skill helps identify and resolve issues within AI agent workflows. It analyzes agent interactions, pinpoints error sources, and suggests corrective actions to improve performance and reliability. This allows for faster iteration cycles and more robust agent deployments.
When to use it
- Unexpected Agent Behavior: When an agent consistently produces incorrect or undesirable outputs.
- Workflow Failures: When a multi-step agent workflow fails at specific points, requiring root cause analysis.
- Performance Bottlenecks: To identify slow response times or inefficient resource utilization within the agent's process.
- Post-Deployment Issues: After deploying an agent, to proactively monitor and address emerging problems in real-world scenarios.
Key capabilities
- Interaction Analysis
- Error Source Identification
- Corrective Action Suggestions
- Workflow Failure Point Detection
Example prompts
- "Analyze the last 10 interactions of my agent and identify any patterns of incorrect responses."
- "My agent workflow fails at step 3. Can you diagnose the problem?"
- "What are the potential causes for slow response times in this agent's process?"
Tips & gotchas
The skill requires access to the agent’s interaction logs and workflow definitions for effective debugging. Ensure sufficient logging is enabled within your agent configuration to maximize the skill’s diagnostic capabilities.