SKILLEMALL.ai

BB nex-healthcheck

Multi-service health and uptime monitoring dashboard for websites, APIs, infrastructure, and applications across multiple systems. Monitor website availability and HTTP response codes with configurable status code validation, check SSL certificate expiration dates with advance warnings (30-day warning, 7-day critical threshold), verify DNS resolution and nameserver health for domain infrastructure. Monitor Docker container status and container-level health checks, track systemd service status on both local and remote machines via SSH, and perform network connectivity tests (TCP port connectivity, ICMP ping, SSH command execution with response validation). Configure flexible health checks including HTTP/HTTPS endpoint monitoring with custom ports, TCP port connectivity without HTTP, DNS resolution verification against multiple record types (A, AAAA, MX, NS), and complex remote checks through SSH including systemctl status queries and docker ps commands on remote infrastructure. Optional Telegram notifications alert you immediately when services degrade or certificates approach expiration with contextual information. View historical incident data with start/end times and duration, uptime percentages for specific date ranges, and SLA tracking for compliance reporting and incident analysis. Designed for DevOps engineers, system administrators, agency operators, and IT teams managing multiple production systems and critical services.

ClawHub Agent Skills author: Nex AI v1.0.0 MIT-0 10 files · 1 script body ≈ 1 735 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 71/100 · Nearly there — weak spots: inputs and preconditions, progress reporting

AnalyzerTelegramDockerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
80/100
safety, quality, tests
Safety 60%
94
Quality 40%
58
Run on models
none yet
Process rating
B
71/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Tools and files w 18
60
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Shorten the description to 1024 characters.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 2

✓ No critical or high findings

Medium and low: 2
  • medium Dangerous commands cmd-shell-rc setup.sh:81
    Writes to a shell startup file
    echo "  Add this to your ~/.bashrc or ~/.zshrc"
  • low Exfiltration exfil-webhook-url lib/alerter.py:20
    Webhook / callback URL commonly used for exfiltration (verify the destination) (the skill's own vendor host; quoted — discussed, not commanded)
    url = f"https://api.telegram.org/bot{token}/sendMessage"
    vendor-hostquoted

Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1452 chars, limit 1024

Process rating: all ten parameters 71/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 35 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1735 tokens
  • 100Running it twice. Mutating operations check current state

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 1452: 120–800 characters recommended
  • -2localhost URLs: will not work for another user
  • +2Single-language instructions
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 35 items
  • +3Output format is stated explicitly
  • +4Has examples (12 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: suspicious
This appears to be a real health-monitoring skill, but it needs review because configured check values can flow into shell commands and it can reveal Telegram credential material.
LLM: suspicious (high) · VirusTotal: · 29 May 2026