SKILLEMALL.ai

BC phone-calling

Make international phone calls to any country. Low per-minute rates. Pay with PayPal or UPI.

modbender/skill-library-mcp Agent Skills author: modbender MIT 6 files body ≈ 2 245 tokens Open the sourcegithub.com analyzed 2 d ago

Make international phone calls to any country.

As a process C 63/100 · Has gaps — weak spots: result and completion, progress reporting

GeneratorAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
96
Quality 40%
67
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
50
the three weakest of ten parameters · all ten

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
  • low Secrets in code secret-password-literal ringez-implementation-guide.md:605
    Hard-coded password / key literal (may be an example)
    client = RingezClient(api_key="sk_l…123")
  • low Secrets in code secret-password-literal ringez-implementation-guide.md:762
    Hard-coded password / key literal (may be an example)
    self.client = RingezClient(api_key='sk_test_123')
  • low Secrets in code secret-password-literal ringez-implementation-guide.md:800
    Hard-coded password / key literal (may be an example)
    return RingezClient(api_key='sk_test_123')
  • low Secrets in code secret-password-literal ringez-quickstart-guide.md:620
    Hard-coded password / key literal (may be an example)
    client = RingezClient(api_key="sk_l…123")

Files scanned: 6. 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")
  • note frontmatter-key unknown frontmatter key "api_base"
  • note frontmatter-key unknown frontmatter key "openapi"

Process rating: all ten parameters 63/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 22 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2245 tokens
  • 100Running it twice. Mutating operations check current state
  • low 11 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)
  • +3Description length 92: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (21 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.