CritPt Solver provides a robust environment for validating and executing Python-based solutions for CritPt benchmark challenges.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install critpt-solver
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install critpt-solver using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is CritPt Solver?
CritPt Solver is a specialized skill designed to interface with LLMs for solving complex CritPt benchmark problems. It acts as a bridge between high-level reasoning and physical code execution, allowing an agent to not only generate a potential solution but to verify its syntactic correctness and functional output. By wrapping Python execution logic, it ensures that solutions generated for critical point problems are tested against real data structures. This skill is a vital component of the Openclaw Skills ecosystem for developers focusing on technical evaluation and algorithmic accuracy.
CritPt Solver Use Cases
- Verifying the accuracy of Python code generated by LLMs for CritPt challenges.
- Executing benchmark test cases to determine if an algorithmic solution is correct.
- Automating the feedback loop between code generation and validation in AI workflows.
- Integrating programmatic checks into AI-driven competitive programming tasks.
How CritPt Solver Works
- The skill processes a structured prompt to guide an LLM in generating standardized Python code, typically implementing an answer(p) function.
- Once the code is received, the solver performs a syntax check to ensure it is valid Python.
- The skill executes the code within a controlled environment, passing necessary parameters (p) to the answer function.
- It captures the output and any execution errors, returning a detailed result object to the caller.
CritPt Solver Setup
To get started with CritPt Solver in your project, include it in your local environment.
npm install ./critpt-solver
Then, initialize it within your agent logic:
const solver = require('./critpt-solver');
const result = await solver.runPythonCode(pythonSourceCode);
CritPt Solver Data Schema & Taxonomy
The skill handles input and output through structured JavaScript objects and string-based code.
| Field | Type | Description |
|---|---|---|
| code | String | The Python source code implementing the answer(p) function. |
| result | Object | The execution output containing stdout, stderr, and the return value. |
| status | String | Indicates whether the execution was successful or failed. |
CritPt Solver Advanced Features
- Automated prompt formatting to improve LLM code generation quality.
- Sandboxed execution of Python code to maintain system security during testing.
- Integration with broader Openclaw Skills workflows for multi-step reasoning and verification.
- Real-time error reporting and tracebacks for debugging generated solutions.
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