openclaw - 💡(How to fix) Fix xurl skill: add confirm-before-post enforcement and audit log instructions [1 participants]

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openclaw/openclaw#56897Fetched 2026-04-08 01:46:24
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The xurl skill (Twitter/X API CLI wrapper) currently relies on soft agent-level guardrails in its SKILL.md. Given that xurl can post public tweets, reply, DM, and perform other high-impact actions on behalf of users, the skill should enforce stronger safety patterns at the SKILL.md instruction level.

Root Cause

The xurl skill (Twitter/X API CLI wrapper) currently relies on soft agent-level guardrails in its SKILL.md. Given that xurl can post public tweets, reply, DM, and perform other high-impact actions on behalf of users, the skill should enforce stronger safety patterns at the SKILL.md instruction level.

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Summary

The xurl skill (Twitter/X API CLI wrapper) currently relies on soft agent-level guardrails in its SKILL.md. Given that xurl can post public tweets, reply, DM, and perform other high-impact actions on behalf of users, the skill should enforce stronger safety patterns at the SKILL.md instruction level.

Background

On 2026-03-15, exec guardrails were implemented in OpenClaw with pass-through wrappers and audit logging for tools like xurl and wacli. However, the official SKILL.md files only contain soft agent-level guardrails — meaning a misconfigured or overly permissive agent could bypass the intended safety flow.

Proposed Improvements

1. Confirm-before-post enforcement

  • SKILL.md should instruct agents to always confirm with the user before executing any write action (post tweet, reply, like, retweet, DM, follow/unfollow, delete).
  • Read-only operations (search, get timeline, get user info) can proceed without confirmation.
  • The confirmation step should show the user the exact content/action before execution.

2. Audit log instructions

  • SKILL.md should instruct agents to log all write operations to an audit trail (e.g., /tmp/ttl=30d/xurl-audit/YYYY-MM-DD.log).
  • Each log entry should include: timestamp, action type, target (user/tweet ID), content summary, and result (success/failure).
  • Secrets (API keys, tokens) must be redacted from logs.

3. Rate-limit awareness

  • Document recommended rate limits and backoff behavior to prevent account suspension.

Impact

This change improves safety for all OpenClaw users who use the xurl skill, ensuring that public-facing Twitter actions always have human-in-the-loop confirmation.

extent analysis

Fix Plan

To address the issue, we will implement the following changes:

  • Confirm-before-post enforcement
  • Audit log instructions
  • Rate-limit awareness

Step-by-Step Solution

  1. Confirm-before-post enforcement:
    • Modify the xurl skill to prompt users for confirmation before executing write actions.
    • Example code (Python):
      def confirm_before_post(action, content):
          print(f"Confirm {action} with content: {content}")
          response = input("Proceed? (y/n): ")
          return response.lower() == 'y'
  2. Audit log instructions:
    • Configure the xurl skill to log write operations to an audit trail.
    • Example code (Python):
      import logging
      from datetime import datetime
      
      # Set up logging
      log_file = f"/tmp/ttl=30d/xurl-audit/{datetime.now().strftime('%Y-%m-%d')}.log"
      logging.basicConfig(filename=log_file, level=logging.INFO, format='%(message)s')
      
      def log_write_operation(action, target, content, result):
          log_entry = f"{datetime.now().strftime('%Y-%m-%d %H:%M:%S')} {action} {target} {content} {result}"
          logging.info(log_entry)
  3. Rate-limit awareness:
    • Document recommended rate limits and backoff behavior in the SKILL.md file.
    • Example:
      ## Rate Limits
      * 100 requests per 15-minute window
      * Exponential backoff for rate limit errors

Verification

To verify the fix, test the xurl skill with various write actions and confirm that:

  • The user is prompted for confirmation before each action.
  • Audit logs are generated correctly.
  • Rate limits are respected and backoff behavior is implemented.

Extra Tips

  • Ensure that secrets (API keys, tokens) are properly redacted from logs.
  • Consider implementing additional safety features, such as IP blocking or account suspension detection.

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