SKILLEMALL.ai

DC rock-solid-watchdog

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: gutchapa v0.1.0 MIT-0 4 files · 1 script body ≈ 408 tokens Open the sourceclawhub.ai analyzed 3 d ago

A self-healing supervisor for local LLM inference servers (llama.cpp). Monitors health, auto-restarts on failure, escalates to recovery.

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice

ProcedureSoftware developmentAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
D
55/100
safety, quality, tests
Safety 60%
92
Quality 40%
0
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
When it triggers w 12
0
Running it twice w 4
30
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.

Exfiltration 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 instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Exfiltration net-credential-use rock-solid-watchdog.sh:87
    Credential used in a network call (verify the destination is the intended service)
    curl -s -X POST "https://api.telegram.org/bot${bot_token}/sendMessage" \
  • low Exfiltration exfil-webhook-url rock-solid-watchdog.sh:87
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    curl -s -X POST "https://api.telegram.org/bot${bot_token}/sendMessage" \
    placeholder
  • low Dangerous commands cmd-background-process rock-solid-watchdog.sh:193
    Starts a background / autostarted process
    nohup bash "$LLAMA_START_SCRIPT" >> "$LOG_FILE" 2>&1 &
  • low Dangerous commands cmd-background-process rock-solid-watchdog.sh:206
    Starts a background / autostarted process
    nohup "${cmd[@]}" >> "$LOG_FILE" 2>&1 &

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 56/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 9 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 408 tokens
  • 100Progress reporting. Reports progress

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 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: suspicious
This is a coherent local watchdog, but it needs Review because it can automatically kill and restart local services, edit user config, and send alerts externally with limited disclosure.
LLM: suspicious (high) · 30 Jul 2026