SKILLEMALL.ai

BC nex-vault

Secure local contract and document vault for managing all business agreements and important documents with automatic expiration tracking and compliance alerts. Track diverse documents including contracts (contracten), leases (huurovereenkomsten), insurance policies (verzekeringen), service-level agreements (SLAs), warranties (garanties), software licenses (licenties), subscriptions (abonnementen), maintenance agreements, permits, and certifications. Automatically extract expiration dates, renewal deadlines, termination notice periods (opzegingstermijn), payment terms, and auto-renewal clauses from uploaded documents using intelligent OCR and natural language processing. Receive automatic alerts before expiration (configurable warning windows) so you never miss a renewal deadline or critical termination notice deadline. Optional Telegram notifications keep you continuously informed of upcoming expirations, auto-renewal events, and required actions. Track total monthly and yearly costs across all contracts and subscriptions for budgeting and cost optimization. Search and filter documents by type, contracting party name, date range, or extract key clauses (payment terms, liability limits, confidentiality, termination conditions). Monitor document lifecycle with status tracking (active, expired, pending, terminated). Perfect for agency operators, SME owners, directors, and business managers in Belgium who need systematic contract management, compliance maintenance, and avoidance of costly unexpected renewals.

ClawHub Agent Skills author: Nex AI v1.0.0 MIT-0 10 files · 1 script body ≈ 2 367 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 64/100 · Has gaps — weak spots: inputs and preconditions, running it twice, progress reporting

ProcedureTelegramSecurityInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
76/100
safety, quality, tests
Safety 60%
92
Quality 40%
53
Run on models
none yet
Process rating
C
64/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
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.

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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Dangerous commands cmd-shell-rc setup.sh:122
    Writes to a shell startup file
    echo "  Add this to your ~/.bashrc or ~/.zshrc"
  • low Exfiltration exfil-webhook-url lib/alerter.py:128
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    url = f"https://api.telegram.org/bot{TELEGRAM_BOT_TOKEN}/sendMessage"
    placeholder
  • low Dangerous commands cmd-shell-rc nex-vault.py:484
    Writes to a shell startup file (string literal in code, not executed)
    subprocess.run(['bash', '-c', f'echo "export NEX_VAULT_TELEGRAM_BOT_TOKEN={token}" >> ~/.bashrc'])
    code literal
  • low Dangerous commands cmd-shell-rc nex-vault.py:491
    Writes to a shell startup file (string literal in code, not executed)
    subprocess.run(['bash', '-c', f'echo "export NEX_VAULT_TELEGRAM_CHAT_ID={chat_id}" >> ~/.bashrc'])
    code literal

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

Against the Agent Skills spec

  • error description-long description is 1530 chars, limit 1024
  • note description-budget description takes 1530 of the ~15000-char shared budget for all skills

Process rating: all ten parameters 64/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 5 mutating operations with no state check
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 60Failures and branches. 2 branches
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 31 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2367 tokens

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 1530: 120–800 characters recommended
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +2Single-language instructions
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 31 items
  • +3Output format is stated explicitly
  • +4Has examples (14 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.

External checks

ClawHub: suspicious
The skill mostly does what it claims, but its Telegram setup can unsafely modify the user’s shell startup file and its local-only privacy framing under-discloses external Telegram alerts.
LLM: suspicious (high) · VirusTotal: · 29 May 2026