SKILLEMALL.ai

BC dividend-premium-tracker

Track the dividend premium (dividend yield minus 10-year bond yield) for CSI Dividend Low Volatility Index. Monitor dividend yield, 10-year bond yield, and calculate the premium for investment decisions.

ClawHub Agent Skills author: gykdly v1.0.1 5 files body ≈ 702 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
88
Quality 40%
75
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 Dangerous commands cmd-eval-dynamic scripts/monitor_dividend_premium.py:44
    Dynamic code execution from decoded/untrusted input
    os.system(f"curl -s -o {local_file} '{url}'")
  • medium Dangerous commands cmd-eval-dynamic scripts/update_dividend_premium.py:27
    Dynamic code execution from decoded/untrusted input
    os.system(f"curl -s -o {local_file} '{url}'")
  • low Exfiltration exfil-webhook-url scripts/monitor_dividend_premium.py:31
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    cmd = f"""curl -s -X POST https://api.telegram.org/bot{TELEGRAM_TOKEN}/sendMessage \
    placeholder
  • low Dangerous commands cmd-cron-mention SKILL.md:70
    Mentions editing / listing crontab
    crontab -e

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 51/100

  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 702 tokens
  • low 10 top-level sections: this looks like several domains in one skill

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 203: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (6 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
The skill mostly matches its financial-tracking purpose, but its alert feature uses a user-provided Telegram bot token to message a hard-coded chat ID and runs that request through an unsafe shell command.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026