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openclaw - 💡(How to fix) Fix [Feature]: AI agents can autonomously file bug reports [1 comments, 2 participants]

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openclaw/openclaw#51435•Fetched 2026-04-08 01:11:17
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Allow AI agents running in OpenClaw to autonomously file GitHub issues when they encounter bugs or unexpected behavior, without requiring human intervention. The agent formulates the bug report in proper GitHub issue format and submits it directly.

Error Message

This is similar to how Clippy or VS Code's error reporters work, but for AI agents.

Root Cause

Allow AI agents running in OpenClaw to autonomously file GitHub issues when they encounter bugs or unexpected behavior, without requiring human intervention. The agent formulates the bug report in proper GitHub issue format and submits it directly.

Fix Action

Fix / Workaround

Affected: All OpenClaw AI agents and their users Severity: Medium-high — reduces the feedback loop quality between agents and developers Frequency: Intermittent — agents encounter bugs regularly but have no good channel to report them Consequence: Bugs that could be fixed go untracked; developers lose visibility into what agents are experiencing; users bear the cost of workarounds instead of fixes

RAW_BUFFERClick to expand / collapse

Summary

Allow AI agents running in OpenClaw to autonomously file GitHub issues when they encounter bugs or unexpected behavior, without requiring human intervention. The agent formulates the bug report in proper GitHub issue format and submits it directly.

Problem to solve

AI agents running in OpenClaw can often identify bugs — they see errors, unexpected behavior, plugin failures — but currently have no standardized way to report them. The only option is to ask the human to file a GitHub issue manually, which creates friction and means many bugs go unreported or get forgotten. This creates a gap where agents are effectively "blind" in terms of contributing back to the projects they depend on.

Proposed solution

Implement a built-in mechanism (e.g., a skill or native tool) that enables AI agents to autonomously create GitHub issues when they detect bugs. This could be:

  1. A report_bug skill that the agent calls with structured bug information (title, description, repo, labels, evidence)
  2. The skill authenticates as the agent's associated GitHub account (via stored token) and submits the issue
  3. The bug report is auto-formatted in proper GitHub issue format (Summary, Steps to Reproduce, Expected vs Actual, Environment)
  4. The agent gets back the issue URL for confirmation
  5. Optionally notify the human afterward ("I filed a bug report: <url>")

This is similar to how Clippy or VS Code's error reporters work, but for AI agents.

Alternatives considered

No response

Impact

Affected: All OpenClaw AI agents and their users Severity: Medium-high — reduces the feedback loop quality between agents and developers Frequency: Intermittent — agents encounter bugs regularly but have no good channel to report them Consequence: Bugs that could be fixed go untracked; developers lose visibility into what agents are experiencing; users bear the cost of workarounds instead of fixes

Evidence/examples

Example scenario: An OpenClaw agent running on a plugin (e.g., weibo-openclaw-plugin) encounters a bug — links in private messages cannot be copied or clicked on Android. Currently the agent must tell the human "please file a bug report" and the human has to manually go to GitHub, find the right repo, and write up the issue. With this feature, the agent could directly file the issue in the correct format automatically.

Additional information

Security considerations: The bug-reporting mechanism should require explicit user consent or pre-configuration (e.g., a stored GitHub token with limited permissions, or a user-configured "report to" repository list). Agents should not be able to file issues on arbitrary repos without configuration. A "dry run" mode could be implemented where the agent drafts the report and shows it to the human for approval before submitting.

extent analysis

Fix Plan

To implement the bug reporting mechanism, follow these steps:

  • Create a report_bug skill in OpenClaw that accepts structured bug information:
    • Title
    • Description
    • Repository
    • Labels
    • Evidence
  • Authenticate with GitHub using a stored token with limited permissions
  • Use the GitHub API to create a new issue in the specified repository
  • Auto-format the bug report in proper GitHub issue format
  • Return the issue URL to the agent for confirmation

Example code (Python):

import requests

def report_bug(title, description, repo, labels, evidence, token):
    # Set GitHub API endpoint and headers
    url = f"https://api.github.com/repos/{repo}/issues"
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json"
    }

    # Create issue payload
    payload = {
        "title": title,
        "body": format_bug_report(description, evidence),
        "labels": labels
    }

    # Send request to create issue
    response = requests.post(url, headers=headers, json=payload)

    # Return issue URL if successful
    if response.status_code == 201:
        return response.json()["html_url"]
    else:
        return None

def format_bug_report(description, evidence):
    # Format bug report in proper GitHub issue format
    report = f"### Summary\n{description}\n\n"
    report += f"### Steps to Reproduce\n{evidence}\n\n"
    report += f"### Expected vs Actual\nTODO\n\n"
    report += f"### Environment\nTODO"
    return report

Verification

To verify the fix, test the report_bug skill with a sample bug report and ensure that:

  • The issue is created in the correct repository
  • The issue is formatted correctly
  • The agent receives the issue URL for confirmation

Extra Tips

  • Implement a "dry run" mode to allow humans to review and approve bug reports before submission
  • Store GitHub tokens securely and limit permissions to prevent abuse
  • Consider adding a notification mechanism to inform humans when a bug report is filed

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openclaw - 💡(How to fix) Fix [Feature]: AI agents can autonomously file bug reports [1 comments, 2 participants]