Skip to main content

code-execution-fallback

Handle code execution failures with fallback strategies and anchored workspace paths

소스 정보

저장소
HKUDS/OpenSpace
최근 소스 활동
2026년 7월 17일 03:43
감지된 SKILL.md 언어
영어
스타
7,776
포크
926

설치 방법

기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

소스 파일 검토

설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.

파일 탐색기
2 개 파일

SKILL.md 표시 중

SKILL.md
소스 지침 · 읽기 전용 미리보기
name
code-execution-fallback
description
Handle code execution failures with fallback strategies and anchored workspace paths
# Code Execution Fallback & Workspace Anchoring This skill provides a robust pattern for executing code when the primary method fails, combined with proper workspace path management to prevent file location errors. ## Core Techniques ### 1. Workspace Path Anchoring Always establish and verify your working directory at the start of any task: ```python # At the beginning of any code execution import os workspace_path = os.getcwd() print(f"Working directory: {workspace_path}") ``` ```bash # In shell scripts pwd echo "Current directory: $(pwd)" ``` **Why:** Prevents files from being written to unexpected locations when agents switch between tools. ### 2. Execution Fallback Ladder When `execute_code_sandbox` fails, follow this escalation pattern: #### Level 1: Retry with Simpler Code - Simplify the code structure - Remove complex dependencies - Add explicit error handling #### Level 2: Use `run_shell` with Heredoc When sandbox execution repeatedly fails, switch to shell execution: ```bash python3 << 'EOF' import os import pandas as pd # Your code here data = {"col1": [1, 2, 3], "col2": ["a", "b", "c"]} df = pd.DataFrame(data) df.to_csv("output.csv", index=False) print("File written successfully") EOF ``` **Key points:** - Use `<< 'EOF'` (quoted) to prevent variable expansion - Include all imports and dependencies inline - Add explicit success/failure messages #### Level 3: Delegate to `shell_agent` For complex multi-step tasks with error recovery needs: ``` Task: Create a data processing pipeline that reads CSV, transforms data, and outputs Excel Requirements: - Handle missing values - Apply transformations - Write to ./output/ directory - Retry on transient errors ``` ### 3. Explicit Path Management Always use absolute or explicitly relative paths: ```python # BAD - relies on implicit working directory df.to_csv("output/data.csv") # GOOD - explicit path anchoring import os base_path = os.getcwd() output_dir = os.path.join(base_path, "output") os.makedirs(output_dir, exist_ok=True) df.to_csv(os.path.join(output_dir, "data.csv")) ``` ```bash # BAD cd some_dir && python script.py # GOOD SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" cd "$SCRIPT_DIR" python script.py ``` ## Decision Tree ``` execute_code_sandbox fails? ├── Yes, with syntax/import errors → Fix code, retry Level 1 ├── Yes, with timeout/resource errors → Use Level 2 (run_shell heredoc) ├── Yes, with unknown/unclear errors → Use Level 3 (shell_agent) └── No, success → Verify output file exists at expected path ``` ## Common Failure Scenarios & Solutions | Error Type | Likely Cause | Recommended Fallback | |------------|--------------|---------------------| | ModuleNotFoundError | Missing packages | run_shell with pip install first | | Timeout | Long-running operation | shell_agent with progress tracking | | PermissionError | Wrong directory | Verify workspace path, use explicit paths | | Unknown error | Sandbox limitations | run_shell or shell_agent | ## Example: Robust File Generation ```python # Step 1: Anchor workspace import os workspace = os.getcwd() print(f"Workspace: {workspace}") # Step 2: Create output directory explicitly output_path = os.path.join(workspace, "deliverables") os.makedirs(output_path, exist_ok=True) # Step 3: Generate content with error handling try: # Your generation logic here with open(os.path.join(output_path, "report.txt"), "w") as f: f.write("Content here") print(f"Success: File written to {output_path}") except Exception as e: print(f"Error: {e}") # Signal to escalate to run_shell or shell_agent raise ``` ## Anti-Patterns to Avoid - ❌ Assuming current directory without verification - ❌ Using relative paths like `../output/file.txt` without context - ❌ Repeatedly retrying failed `execute_code_sandbox` without changing approach - ❌ Not checking if output files exist after generation - ❌ Mixing implicit and explicit path styles in same task ## Verification Checklist After any code execution: - [ ] Confirm working directory was verified at start - [ ] Confirm output files exist at expected paths - [ ] Confirm file contents are non-empty and valid - [ ] If execution failed, escalate to next fallback level within 2 retries
GitHub에서 보기