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Fix, Test, and Deploy Your OpenClaw Agent With Claude Code (the easy way)

You spend 2 hours hunting through session logs, re-reading docs, and guessing what broke.

Your @openclaw agent throws an error at 3 AM.

The skill fails. The cron doesn't fire. The API call times out.

You spend 2 hours hunting through session logs, re-reading docs, and guessing what broke.

There's a better way.

The best debugger for an AI agent is another AI agent.

Claude Code reads your logs, analyzes your skills, patches the bug, and tests the fix while you do literally anything else.

Here's the exact system.

PS: I built a custom GPT that interviews you (3 minutes) then delivers a personalized AI Agent Blueprint with the exact skills/data you need to launch.

Grab it free: http://return-my-time.kit.com/4b0927a64c

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Why Manual Debugging Wastes Your Time

Most people debug OpenClaw agents the hard way:

  1. Check the session log file (buried in ~/.clawdbot/agents/main/sessions/)
  2. Scan thousands of lines of JSON for the error
  3. Read the skill file to understand what should have happened
  4. Google the error message
  5. Guess what broke
  6. Edit the skill
  7. Test it manually
  8. Repeat until it works

This takes hours.

And it's completely unnecessary.

Claude Code can do all of this in minutes because it's built for exactly this kind of work.

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The 3-Part Debug System

Here's the workflow I use for every broken agent:

Part 1: Point Claude Code at the logs

OpenClaw session logs live in ~/.clawdbot/agents/main/sessions/. Each session is a .jsonl file with every message, tool call, and error.

Open Claude Code and run:

# Find the most recent session that failed
ls -lt ~/.clawdbot/agents/main/sessions/ | head -5

Then tell Claude:

"Read the most recent session log. Find the error. Tell me what broke and why."

Claude Code will:

  • Parse the JSON
  • Identify the error message
  • Trace it back to the tool call or skill that failed
  • Explain the root cause in plain English

What used to take 30 minutes of log hunting now takes 90 seconds.

Part 2: Let Claude Code read the skill

Once you know which skill failed, point Claude at the skill file:

"Read /Users/[you]/clawd/skills/[skill-name]/SKILL.md and the associated scripts. Based on the error, what needs to change?"

Claude Code will:

  • Read the skill instructions
  • Read any Python/Bash scripts in scripts/
  • Compare the intended behavior to the actual error
  • Suggest a specific fix

Example from yesterday:

My todoist-morning-triage skill was failing because the API was returning 69 active tasks, but I was only fetching the default 50.

Claude Code read the session log, saw the truncated response, read the skill's Python script, and told me:

"The issue is the API limit. Add --limit=100 to the curl command in get_today_tasks.py."

That's a 2-line fix. Took 3 minutes total.

Part 3: Test the fix in Claude Code's environment

Before you deploy the fix, test it:

"Run the updated script with my test data. Show me the output."

Claude Code will:

  • Execute the patched script
  • Show you the result
  • Confirm the fix works before you commit it

No more "edit → test → fail → repeat" loops.

You fix it once and move on.

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Real Example: Debugging a Failed Cron Job

Last week, my daily X article cron stopped running. The agent would wake up at 7 AM, but the article never got written.

Here's how I debugged it with Claude Code:

Step 1: Opened Claude Code and said:

"Find the most recent session for the daily-x-article cron job. What failed?"

Claude Code found the session log, parsed it, and reported:

"The cron job triggered, but the last30days research script timed out after 60 seconds. The article never got written because research failed."

Step 2: I asked:

"Read the x-article-writer skill. What's the fallback if research fails?"

Claude Code read the skill and said:

"There's no timeout handling for the research step. If last30days fails, the entire article workflow stops."

Step 3: I told Claude:

"Patch the skill to skip research if it times out and fall back to a pre-defined topic list."

Claude Code:

  • Edited the skill
  • Added a try/catch for the research timeout
  • Added a fallback topic list
  • Tested it with a simulated timeout

Total time: 12 minutes.

Old way: I would have spent 2 hours re-reading the skill, re-running the cron manually, and trial-and-error testing.

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The 3 Most Common OpenClaw Errors (And How Claude Code Fixes Them)

Error 1: "Tool execution timed out"

What it means: A skill script or API call took too long.

Manual fix: Add timeout handling, optimize the script, or increase the timeout limit.

Claude Code fix: "Read the skill. Find the slow script. Add a timeout wrapper or optimize the API call."

Error 2: "Command exited with code 1"

What it means: A shell command in a skill failed.

Manual fix: Run the command manually, check the error output, debug the syntax.

Claude Code fix: "Run the failing command in your terminal. Show me the error. Read the skill script and patch it."

Error 3: "Skill not triggering"

What it means: The skill's description doesn't match what you're asking the agent to do.

Manual fix: Re-read the skill description, update it, restart the agent.

Claude Code fix: "Read the skill description. Based on my request, does this skill match? If not, suggest a better description."

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What This Actually Saves You

Before Claude Code:

  • 2 hours per broken agent
  • Manual log reading
  • Trial-and-error fixes
  • Re-running tests manually

After Claude Code:

  • 12 minutes per broken agent
  • Claude reads the logs
  • Claude suggests the fix
  • Claude tests it before you deploy

That's 10x faster debugging.

And it's not just speed, it's also accuracy. Claude Code doesn't guess. It reads the error, reads the code, and fixes the root cause.

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Try This Next Time Your Agent Breaks

Next time an OpenClaw agent fails, don't dig through logs yourself.

Open Claude Code and say:

"Read the most recent session log for [agent name]. Find the error. Read the skill. Suggest a fix."

Let me know what breaks first and how fast Claude Code fixes it.

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PS: I built a custom GPT that interviews you (3 minutes) then delivers a personalized AI Agent Blueprint with the exact skills/data you need to launch.

Grab it free:

http://return-my-time.kit.com/4b0927a64c

Corey Ganim / Field notesExplore more articles →
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