Setup & Installation
openclaw skills install @wanng-ide/critpt-solver
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install critpt-solver
What This Skill Does
Validates and executes Python solutions for CritPt benchmark problems. Wraps Python execution by checking syntax and running the answer(p) function with test values.
Automates the validate-and-execute loop that would otherwise require manual Python setup and custom test harness code.
When to use it
- Running a generated Python solution against CritPt test cases
- Checking syntax validity of benchmark code before submission
- Automating test execution for critical point problems
- Verifying LLM-generated Python code against known inputs
- Debugging answer(p) output during benchmark development
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: Check if this Python solution correctly solves the CritPt benchmark
AGENT
- 1Receive Python code implementing answer(p)
- 2Format a structured prompt for validation
- 3Validate syntax of the provided code
- 4Execute answer(p) with test values
- 5Return the execution result
OUTPUT
Execution result showing whether answer(p) ran successfully and the returned values