cc3po-system-healthcheckThree-tier system health monitoring (L1/L2/L3) with heartbeat mechanism. Zero external dependencies, i18n support, console output only.
Install via ClawdBot CLI:
clawdbot install carloscbrls/cc3po-system-healthcheckGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
rm -rf ~Accesses system directories or attempts privilege escalation
/proc/Calls external URL not in known-safe list
https://github.com/cc3po/system-healthcheckAI Analysis
The skill performs local system health checks with no evidence of sending user data to external servers; the only external URL is a GitHub repository link for documentation. The rule-based signals (e.g., 'rm -rf ~', '/proc/') are likely false positives from example code or template comments, not actual malicious instructions. No credential harvesting, obfuscation, or hidden override of user intent is present.
Generated Oct 6, 2026
A solo developer running OpenClaw on a personal VPS or home server uses the healthcheck skill to monitor disk, memory, cron services and logs without setting up heavyweight observability stacks. L1 checks run before conversations while L2/L3 crontabs provide ongoing assurance that the environment stays healthy.
A small IT agency deploys system-healthcheck across multiple client machines and OpenClaw gateways to catch disk pressure or service outages early. Heartbeat output during work hours gives technicians a quiet-when-healthy signal with alerts only when intervention is needed.
A bootstrapped SaaS team runs the skill on their application servers to monitor log growth, resource thresholds and gateway health on a low-cost cron schedule. JSON output from L2 is piped into their existing alert pipeline for lightweight production monitoring.
Homelab operators managing Raspberry Pi clusters, NAS boxes or mini-PCs use the Python-only, dependency-free checks to watch storage, memory and service state. The i18n and console output make it easy to inspect results directly in a terminal session.
CI/CD or deployment scripts call l1_fast_check.py as a pre-flight gate to verify definition files and basic environment integrity before rolling out changes. Quiet exit-code-based behavior makes it simple to integrate into automated pipelines.
The core skill remains free and open-source, while a paid tier bundles dashboards, alert routing, and remote log aggregation for teams needing centralized visibility. This monetizes the user base that outgrows console-only output.
Agencies and MSPs resell ongoing healthcheck monitoring as a managed service, charging clients a flat monthly fee that includes setup, crontab configuration, threshold tuning, and incident response. The skill is the underlying engine, not the product being sold directly.
Businesses pay for expert customization such as integrating JSON output into their existing alerting stack, adding new check types, or localizing thresholds for regulated environments. The package is free but the expertise around it is billable.
💬 Integration Tip
Start by editing config/default_config.yaml to match your thresholds and locale, then test L1/L2 manually before copying templates/crontab_example.txt into your crontab; use --json output for piping into any existing alerting stack.
Scored Oct 6, 2026
Audited May 10, 2026 · audit v1.0
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