Verifies competitive programming and LeetCode solutions for correctness, edge cases, and performance via static analysis, test generation, and execution with a specialized agent.
npx claudepluginhub sequenzia/agent-alchemy --plugin agent-alchemy-cs-toolsThis skill is limited to using the following tools:
Verify competitive programming and LeetCode solutions for correctness through static analysis, automated test case generation, and execution.
Reviews your code using the Socratic method with guiding questions to help discover issues, edge cases, performance concerns, and improvements independently.
Mentally executes code, skills, commands, configs line-by-line with concrete values to find bugs, logic errors, edge cases, contract violations, AI hallucinations. Verifies external calls using tools.
Solves competitive programming and LeetCode-style problems with step-by-step explanations, problem classification, and verified Python solutions. Use for algorithmic coding challenges.
Share bugs, ideas, or general feedback.
Verify competitive programming and LeetCode solutions for correctness through static analysis, automated test case generation, and execution.
CRITICAL: Complete ALL 4 phases. Do not stop after static analysis.
Goal: Extract the problem statement and solution code.
Parse $ARGUMENTS to extract:
If both are in $ARGUMENTS, separate them. The problem statement typically comes first, followed by the solution code in a code block or after a separator.
If the solution is a file path, read it:
Read [file_path]
If the problem statement is missing, ask for it:
AskUserQuestion:
question: "Please provide the problem statement for verification. I need it to generate test cases and validate correctness."
options:
- label: "Paste problem text"
description: "Paste the full problem statement with constraints and examples"
- label: "Describe the problem"
description: "Describe what the problem asks — I'll generate test cases from that"
If the solution code is missing, ask for it:
AskUserQuestion:
question: "Please provide your solution code to verify."
options:
- label: "Paste code"
description: "Paste your Python solution code"
- label: "Provide file path"
description: "Give the path to your solution file"
If the solution is not Python, note this to the user and proceed with analysis (the verifier agent will handle language adaptation).
Goal: Delegate verification to the specialized agent.
Use the Task tool to spawn the solution-verifier agent:
Task:
subagent_type: "agent-alchemy-cs-tools:solution-verifier"
prompt: |
## Problem Statement
[full problem text with all constraints, I/O format, and examples]
## Solution Code
```python
[the user's solution code]
```
Perform full verification following your structured process:
1. Static analysis for logic errors and edge case handling
2. Generate test cases (basic, edge, stress)
3. Write and execute test harness
4. Compile report with verdict
Goal: Collect and validate the agent's findings.
The agent returns a structured report containing:
Review the report for completeness. If the agent encountered infrastructure issues (test harness errors, not solution bugs), note this to the user.
Goal: Present the verification results with follow-up options.
Present the report to the user with clear formatting:
After presenting the report, offer follow-up actions:
AskUserQuestion:
question: "What would you like to do next?"
options:
- label: "Fix bugs and re-verify"
description: "I'll apply the suggested fixes and run verification again"
- label: "Show corrected solution"
description: "Generate a complete corrected solution using /solve"
- label: "Add more test cases"
description: "Generate additional test cases targeting specific scenarios"
- label: "Done"
description: "Verification complete, no further action needed"
If the user selects "Fix bugs and re-verify":
If "Show corrected solution":
/solve with the same problem statement to get a fresh, verified solutionIf "Add more test cases":