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shell-error-debug-workflow

Diagnose unclear failures from run_shell commands through a stepwise workflow. Capture error output, verify directories and command availability, check environment variables, and test simpler commands to narrow down problems with paths, permissions, or the execution environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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Systematic workflow for diagnosing and resolving unknown errors from run_shell commands

설치 방법 보기

이럴 때 유용합니다

  • Investigating unknown errors returned by run_shell
  • Comparing local and agent execution environments
  • Checking paths, permissions, and command availability

포함된 파일(2)

  • SKILL.md4.3 KB
  • .skill_id40 B

SKILL.md(원문)

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Shell Error Debug Workflow

When run_shell returns an 'unknown error' or ambiguous failure, apply this systematic troubleshooting workflow to diagnose and resolve the issue.

When to Use This Skill

  • run_shell returns an 'unknown error' message
  • Shell command fails without clear error output
  • Command works locally but fails in the agent environment
  • Intermittent or unexplained shell failures

Step-by-Step Troubleshooting Workflow

Step 1: Capture Explicit Stderr

Redirect stderr to stdout to capture all error output:

# Instead of:
run_shell command="some-command"

# Use:
run_shell command="some-command 2>&1"

This ensures error messages are captured in the output rather than being lost.

Step 2: Verify Working Directory

Confirm the current working directory and its contents:

run_shell command="pwd && ls -la"

Check that:

  • You're in the expected directory
  • Required files/directories exist
  • Permissions are correct

Step 3: Check Tool/Command Availability

Verify the required command or tool exists and is accessible:

run_shell command="which some-command || command -v some-command || type some-command"

If the tool is not found, check PATH or install the required package.

Step 4: Use Absolute Paths

Replace relative paths with absolute paths to avoid directory-related issues:

# Instead of:
run_shell command="python script.py"

# Use:
run_shell command="$(pwd)/script.py"
# or
run_shell command="/absolute/path/to/script.py"

Step 5: Test with Minimal Command

Isolate the issue by running a minimal version of the command:

# Test basic functionality first
run_shell command="echo 'test'"

# Then gradually add complexity
run_shell command="some-command --version"
run_shell command="some-command --help"

Step 6: Check Environment Variables

Some commands depend on specific environment variables:

run_shell command="env | grep -i relevant_var"

Complete Diagnostic Sequence

For persistent unknown errors, run this complete diagnostic:

# 1. Capture full environment
run_shell command="pwd && echo '---' && ls -la && echo '---' && env"

# 2. Test command with full error capture
run_shell command="your-command 2>&1 | head -50"

# 3. Check command availability
run_shell command="which your-command || echo 'Command not found in PATH'"

# 4. Try with absolute path
run_shell command="/full/path/to/your-command 2>&1"

Common Causes and Solutions

SymptomLikely CauseSolution
No output, unknown errorstderr not capturedAdd 2>&1 to command
File not foundWrong working directoryUse pwd to verify, use absolute paths
Permission deniedFile/directory permissionsCheck with ls -la, adjust permissions
Command not foundTool not installed or not in PATHUse which to check, install or specify full path
Intermittent failuresRace conditions or timingAdd delays, check for file locks

Example: Troubleshooting a Python Script Failure

# Initial failing command
run_shell command="python process.py"
# Returns: unknown error

# Apply diagnostic workflow:
# Step 1: Capture stderr
run_shell command="python process.py 2>&1"

# Step 2: Verify directory
run_shell command="pwd && ls -la"

# Step 3: Check Python availability
run_shell command="which python && python --version"

# Step 4: Use absolute path
run_shell command="$(pwd)/process.py 2>&1"
# or
run_shell command="/usr/bin/python3 $(pwd)/process.py 2>&1"

Best Practices

  1. Always capture stderr when debugging: 2>&1
  2. Verify assumptions about working directory and file locations
  3. Start simple before running complex commands
  4. Use absolute paths in production/repeatable scripts
  5. Check tool versions when behavior seems inconsistent
  6. Document environment when errors are hard to reproduce

When to Escalate

If this workflow does not resolve the issue:

  • The error may be environmental (container/runtime specific)
  • Consider using shell_agent for complex shell tasks that require autonomous error handling
  • Check for resource constraints (disk space, memory, timeouts)

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