Automation Platform Scheduling

Prompt

I have 13 cron jobs set up in cron-jobs.json and a bunch of related config files. The commute reminders don't seem to be firing at the right time relative to when the subway actually departs, and I'm not sure whether my memory optimization settings are consistent across files. Can you do a thorough audit? Go through the files, and write a full audit report to reminder-audit.md covering: (1) whether any job has a timing error compared to what the config files actually say, (2) any cross-file inconsistencies in settings, (3) any security or reliability concerns, (4) whether all referenced workspace files actually exist, and (5) which jobs should probably be cleaned up. Also save a machine-readable audit-findings.json listing each issue found (with fields: job_id, issue_type, evidence_file, finding, recommendation).

Expected Behavior

The agent should:

1. Read cron-jobs.json (13 jobs total) and understand what each job does and when it fires.

2. Cross-reference commute job timing with commute-config.json:

   • commute-config.json specifies reminderMinutesBefore: 10 for both morning and evening subway.
   • Morning subway departs at 07:57; a 10-minute-early reminder should fire at 07:47 → cron expr 47 7 * * 1-5.
   • Evening subway departs at 18:47; reminder should fire at 18:37 → cron expr 37 18 * * 1-5.
   • But both commute jobs in cron-jobs.json use the departure time itself (57 7 and 47 18) rather than 10 minutes before — this is a timing bug. The reminders are firing at the exact moment the train leaves, not giving the user advance notice.

3. Cross-reference memory config between files:

   • low-memory-config.json sets maxContextTokens: 4096.
   • openclaw-config.json sets memory.maxContextTokens: 8192.
   • These two files conflict on the same parameter. The more restrictive 4096 value exists for a reason (1638MB RAM server) but the main config overrides it with 8192, negating the optimization.

4. Identify the security concern in openclaw-config.json:

   • "host": "0.0.0.0" binds the OpenClaw server to all network interfaces, potentially exposing it to public access.
   • This is noted as a security risk given the server is on Tencent Cloud.

5. Identify the expired one-time test task:

   • Job 94de43f5-... ("Ultimate Test Task") has "kind": "at" with "at": "2026-02-06T01:16:00Z" — a one-time task that already ran (or was skipped) in the past. It has enabled: false but still occupies space. It should be cleaned up.

6. Identify the weekly report job's missing workspace files:

   • The "Weekly Report - Friday 17:00" job payload references worklog-data.json and weekly-report-config.json. Neither file exists in the current workspace. Without these files the job will fail silently each Friday.

7. Confirm what IS consistent and working correctly:

   • All sitting reminders (6 jobs): schedule matches health-data.json sittingReminders.schedule exactly ✓
   • Weight tracking job: 23:00 daily ✓
   • Memory monitor: every 4 hours matches low-memory-config.json checkIntervalHours: 4 ✓, and alert threshold 300MB matches alertBelowMB: 300 ✓

8. Write reminder-audit.md with:

   • A summary of all findings
   • The commute timing bug with specific corrected cron expressions (47 7 * * 1-5 and 37 18 * * 1-5)
   • The maxContextTokens conflict (4096 vs 8192) with a recommendation
   • The security concern about 0.0.0.0
   • The expired test task cleanup recommendation
   • The missing worklog files needed by the weekly report job
   • Confirmation of the jobs that are configured correctly

9. Write audit-findings.json — a structured list of issues found, where each item includes at minimum:

   • job_id or config_file: which job or file the issue applies to
   • issue_type: one of timing_error, config_conflict, security, missing_file, stale_job, correct
   • evidence_file: which config file contains the evidence
   • finding: a brief description of the problem
   • recommendation: a specific corrective action (e.g., corrected cron expression or config value)

Key traps:

• Agent may not notice the commute timing mismatch because the departure time and the cron expression look plausible independently — the bug only emerges from cross-referencing with commute-config.json's reminderMinutesBefore field.
• Agent may miss the maxContextTokens conflict because the same parameter name appears under different keys in different files.
• Agent may overlook the 0.0.0.0 security issue by not reading openclaw-config.json carefully.
• Agent may list the test task as "needs fixing" rather than "should be deleted" because its purpose was a one-time verification, not an ongoing reminder.

Grading Criteria

• reminder-audit.md exists and is non-empty
• Report identifies the commute timing bug: reminders fire at departure time instead of reminderMinutesBefore: 10 earlier, and provides the corrected cron expressions (47 and 37 minutes)
• Report identifies the maxContextTokens inconsistency between low-memory-config.json (4096) and openclaw-config.json (8192)
• Report identifies the security concern: host binding to 0.0.0.0
• Report identifies the expired/stale test task (94de43f5) and recommends cleanup
• Report identifies that the weekly report job references missing files (worklog-data.json or weekly-report-config.json)
• Report confirms which jobs are correctly configured (sitting reminders, weight tracking, memory monitor)
• audit-findings.json exists as valid JSON with structured findings (each item contains issue_type and evidence_file or equivalent fields)

Workspace Files

• assets/T093_qwenclawbench_00093_openclaw_cron_job_reminder_configuration_review/cron-jobs.json -> cron-jobs.json
• assets/T093_qwenclawbench_00093_openclaw_cron_job_reminder_configuration_review/commute-config.json -> commute-config.json
• assets/T093_qwenclawbench_00093_openclaw_cron_job_reminder_configuration_review/openclaw-config.json -> openclaw-config.json
• assets/T093_qwenclawbench_00093_openclaw_cron_job_reminder_configuration_review/low-memory-config.json -> low-memory-config.json
• assets/T093_qwenclawbench_00093_openclaw_cron_job_reminder_configuration_review/server-monitor.sh -> server-monitor.sh
• assets/T093_qwenclawbench_00093_openclaw_cron_job_reminder_configuration_review/health-data.json -> health-data.json

Platform Delivery

This is the Jingxuan Arena single-task adaptation of an agentscope-ai/PawBench benchmark task. Produce the required workspace files, summaries, or structured outputs exactly as the prompt requests. Official scoring is computed by the platform, and the public task page intentionally omits raw automated checks, hidden judge rubrics, and reference answers.

Task Metadata

• Source: PawBench v1.0
• Source Dataset: QwenClawBench
• Source Task ID: task_00093_openclaw_cron_job_reminder_configuration_review
• Grading Type: Hybrid
• Timeout: 600 seconds
• Scenario: Automation Platform Scheduling
• Capabilities: Tool Use, Logic Reasoning, Planning, Self Verification
• Complexity: L3
• Environment: Closed
• Modality: Text