Debug Buttercup
Automatically identifies and suggests fixes for common code errors using Trail of Bits' proven debugging techniques.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add debug-buttercup npx -- -y @trustedskills/debug-buttercup
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"debug-buttercup": {
"command": "npx",
"args": [
"-y",
"@trustedskills/debug-buttercup"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The debug-buttercup skill provides tools to analyze and debug AI agent behavior, particularly focusing on identifying inconsistencies in reasoning or logic. It enables users to trace execution paths, validate outputs against expected results, and detect anomalies during testing.
When to use it
- When an AI agent produces unexpected or incorrect responses during a task.
- During unit testing of AI agents to ensure consistent performance across scenarios.
- To investigate why an agent fails to follow instructions or misinterprets input.
- When preparing for deployment, to validate the robustness and reliability of the agent.
Key capabilities
- Execution path tracing for AI agents
- Output validation against expected results
- Anomaly detection in reasoning patterns
Example prompts
- "Trace the execution steps of the AI agent when it failed to answer the math question."
- "Validate if the agent's response aligns with the provided test case expectations."
- "Identify any logical inconsistencies in the agent’s decision-making process for this scenario."
Tips & gotchas
- Ensure that your test cases are well-defined and include clear expected outcomes for accurate validation.
- This skill works best when used alongside detailed logs or execution traces from the AI agent.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.