[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KJZTCSCZBY2113VA16NDSP":3,"skill-same:01M6KJZTCSCZBY2113VA16NDSP":61},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":29,"linkOnly":30,"markdownContent":31,"markdownBody":32,"frontMatter":33,"refName":34,"commitSha":35,"skillDirectory":36,"forksCount":13,"repositoryHtmlUrl":37,"repositoryHomepageUrl":6,"ownerHtmlUrl":38,"ownerBlogUrl":6,"ownerDescription":39,"updatedAt":40,"install":41,"resources":54},"01M6KJZTCSCZBY2113VA16NDSP","sandbox-fallback-python",null,"Fallback to run_shell with embedded Python when execute_code_sandbox fails due to e2b unavailability","AG064\u002FOpenSpace","AG064","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F184930299?v=4","01M6KHVFG7TB73NHX3RDYSTMH2","01M6KHVFMM7XA2PZA9Z83PHS3V",0,"MIT","https:\u002F\u002Fgithub.com\u002FAG064\u002FOpenSpace\u002Fblob\u002Fmain\u002Fgdpval_bench\u002Fskills\u002Fsandbox-fallback-python\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28],"python","sandbox","fallback","sandbox fallback python","run","code","shell","execute","embedded","e2b","with","2026-11-10 10:12:30",false,"---\nname: sandbox-fallback-python\ndescription: Fallback to run_shell with embedded Python when execute_code_sandbox fails due to e2b unavailability\n---\n\n# Sandbox Fallback: Python via run_shell\n\n## When to Use This Skill\n\nApply this skill when `execute_code_sandbox` fails with errors indicating:\n- e2b service unavailability\n- Sandbox timeout or connection issues\n- Code execution environment not accessible\n\nThis fallback allows you to execute Python code directly via shell, bypassing the sandbox infrastructure.\n\n## Fallback Procedure\n\n### Step 1: Detect Sandbox Failure\n\nIdentify fallback necessity from error messages like:\n- \"e2b unavailable\"\n- \"sandbox connection failed\"\n- \"execution environment error\"\n- Timeout errors during code execution\n\n### Step 2: Switch to run_shell with Embedded Python\n\nInstead of `execute_code_sandbox`, use `run_shell` with a Python heredoc or inline script:\n\n```bash\npython3 \u003C\u003C 'EOF'\n# Your Python code here\nprint(\"Hello from fallback execution\")\nEOF\n```\n\n### Step 3: Install Dependencies First\n\nIf your Python code requires packages not guaranteed to be installed:\n\n```bash\npip install package_name package_name2 && python3 \u003C\u003C 'EOF'\n# Your Python code here\nimport package_name\nprint(\"Code with dependencies executed\")\nEOF\n```\n\n### Step 4: Handle File I\u002FO\n\nFor scripts that need to read\u002Fwrite files:\n- Use absolute or explicit relative paths\n- Files persist in the workspace directory\n- List directory contents with `ls` to verify file operations\n\n```bash\npython3 \u003C\u003C 'EOF'\nimport os\n# Write output to file\nwith open(\"output.txt\", \"w\") as f:\n    f.write(\"Results here\")\n# Verify\nprint(f\"Working directory: {os.getcwd()}\")\nEOF\n```\n\n## Code Examples\n\n### Simple Calculation\n```bash\npython3 \u003C\u003C 'EOF'\nresult = sum(range(100))\nprint(f\"Sum: {result}\")\nEOF\n```\n\n### With Package Installation\n```bash\npip install requests -q && python3 \u003C\u003C 'EOF'\nimport requests\nresponse = requests.get(\"https:\u002F\u002Fapi.example.com\u002Fdata\")\nprint(response.json())\nEOF\n```\n\n### With JSON Processing\n```bash\npython3 \u003C\u003C 'EOF'\nimport json\n\ndata = {\"key\": \"value\", \"count\": 42}\noutput = json.dumps(data, indent=2)\nprint(output)\n\n# Save to file\nwith open(\"data.json\", \"w\") as f:\n    f.write(output)\nEOF\n```\n\n## Best Practices\n\n1. **Use heredoc syntax** - `\u003C\u003C 'EOF'` prevents variable expansion issues\n2. **Install quietly** - Use `pip install -q` to reduce output noise\n3. **Error handling** - Add try\u002Fexcept blocks in Python code for robustness\n4. **Verify execution** - Check stdout\u002Fstderr from run_shell to confirm success\n5. **Keep code compact** - Long scripts are harder to debug in shell context\n\n## Caveats\n\n- **No persistent state** between run_shell calls (unlike execute_code_sandbox)\n- **Longer execution time** for complex scripts due to Python interpreter startup\n- **Limited debugging** - Cannot easily inspect variables between statements\n- **Output size limits** - Very large outputs may be truncated\n\n## When NOT to Use This Fallback\n\n- If the task specifically requires sandbox isolation for security\n- If you need persistent state across multiple code executions\n- If the code execution is extremely long-running (consider backgrounding)","# Sandbox Fallback: Python via run_shell\n\n## When to Use This Skill\n\nApply this skill when `execute_code_sandbox` fails with errors indicating:\n- e2b service unavailability\n- Sandbox timeout or connection issues\n- Code execution environment not accessible\n\nThis fallback allows you to execute Python code directly via shell, bypassing the sandbox infrastructure.\n\n## Fallback Procedure\n\n### Step 1: Detect Sandbox Failure\n\nIdentify fallback necessity from error messages like:\n- \"e2b unavailable\"\n- \"sandbox connection failed\"\n- \"execution environment error\"\n- Timeout errors during code execution\n\n### Step 2: Switch to run_shell with Embedded Python\n\nInstead of `execute_code_sandbox`, use `run_shell` with a Python heredoc or inline script:\n\n```bash\npython3 \u003C\u003C 'EOF'\n# Your Python code here\nprint(\"Hello from fallback execution\")\nEOF\n```\n\n### Step 3: Install Dependencies First\n\nIf your Python code requires packages not guaranteed to be installed:\n\n```bash\npip install package_name package_name2 && python3 \u003C\u003C 'EOF'\n# Your Python code here\nimport package_name\nprint(\"Code with dependencies executed\")\nEOF\n```\n\n### Step 4: Handle File I\u002FO\n\nFor scripts that need to read\u002Fwrite files:\n- Use absolute or explicit relative paths\n- Files persist in the workspace directory\n- List directory contents with `ls` to verify file operations\n\n```bash\npython3 \u003C\u003C 'EOF'\nimport os\n# Write output to file\nwith open(\"output.txt\", \"w\") as f:\n    f.write(\"Results here\")\n# Verify\nprint(f\"Working directory: {os.getcwd()}\")\nEOF\n```\n\n## Code Examples\n\n### Simple Calculation\n```bash\npython3 \u003C\u003C 'EOF'\nresult = sum(range(100))\nprint(f\"Sum: {result}\")\nEOF\n```\n\n### With Package Installation\n```bash\npip install requests -q && python3 \u003C\u003C 'EOF'\nimport requests\nresponse = requests.get(\"https:\u002F\u002Fapi.example.com\u002Fdata\")\nprint(response.json())\nEOF\n```\n\n### With JSON Processing\n```bash\npython3 \u003C\u003C 'EOF'\nimport json\n\ndata = {\"key\": \"value\", \"count\": 42}\noutput = json.dumps(data, indent=2)\nprint(output)\n\n# Save to file\nwith open(\"data.json\", \"w\") as f:\n    f.write(output)\nEOF\n```\n\n## Best Practices\n\n1. **Use heredoc syntax** - `\u003C\u003C 'EOF'` prevents variable expansion issues\n2. **Install quietly** - Use `pip install -q` to reduce output noise\n3. **Error handling** - Add try\u002Fexcept blocks in Python code for robustness\n4. **Verify execution** - Check stdout\u002Fstderr from run_shell to confirm success\n5. **Keep code compact** - Long scripts are harder to debug in shell context\n\n## Caveats\n\n- **No persistent state** between run_shell calls (unlike execute_code_sandbox)\n- **Longer execution time** for complex scripts due to Python interpreter startup\n- **Limited debugging** - Cannot easily inspect variables between statements\n- **Output size limits** - Very large outputs may be truncated\n\n## When NOT to Use This Fallback\n\n- If the task specifically requires sandbox isolation for security\n- If you need persistent state across multiple code executions\n- If the code execution is extremely long-running (consider backgrounding)",{"name":5,"description":7},"main","ff671ef61ed6587c49bd54c81cdc751c0b99e363","gdpval_bench\u002Fskills\u002Fsandbox-fallback-python","https:\u002F\u002Fgithub.com\u002FAG064\u002FOpenSpace","https:\u002F\u002Fgithub.com\u002FAG064","AG064, E.Mi.\r\n\r\nA person who thinks all the time, yet all they have to think is nothing. 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Reference for extracting patterns — vanilla TypeScript, Panel class hierarchy, service layer, CSS grid, API edge functions, refresh scheduler, and 60+ data source integrations.","https:\u002F\u002Fgithub.com\u002FAG064\u002FOpenSpace\u002Fblob\u002Fmain\u002Fshowcase\u002Fskills\u002Fworldmonitor-reference\u002FSKILL.md",[115],{"categoryNo":116,"categoryName":117,"taxonomyType":118,"taxonomyTypeDesc":119},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[121,122,123,124,84,125,126,127,128,129,75,130,131,132,133,134,135,136,137,138],"reference","worldmonitor","worldmonitor reference","dashboard","css","architecture","extracting","hierarchy","source","layer","panel","patterns","edge functions","integrations","open","api","data","scheduler",{"skillNo":140,"name":141,"nameZh":6,"description":142,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":143,"categories":144,"keywords":145,"publishedAt":29},"01M6KKM39PHYK627F19GE2B9XN","virtual-list","Implement efficient virtual scrolling for rendering large lists with DOM recycling, chunk-based rendering, and performance optimizations","https:\u002F\u002Fgithub.com\u002FAG064\u002FOpenSpace\u002Fblob\u002Fmain\u002Fshowcase\u002Fskills\u002Fvirtual-list\u002FSKILL.md",[],[146,147,148,149,75,150,28,151,152,153,154],"virtual list","list","virtual","chunk","dom","rendering","recycling","implement","performance",{"skillNo":156,"name":157,"nameZh":6,"description":158,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":159,"categories":160,"keywords":161,"publishedAt":29},"01M6KKKY7T2P61Y0JH54CDEJKQ","verify-directory-structure","Diagnose and resolve file access issues by first verifying the directory structure.","https:\u002F\u002Fgithub.com\u002FAG064\u002FOpenSpace\u002Fblob\u002Fmain\u002Fshowcase\u002Fskills\u002Fverify-directory-structure\u002FSKILL.md",[],[162,163,164,165,166,167,83,168,169,170],"directory","verify","structure","verify directory structure","access","first","issues","diagnose","file access"]