SKILLEMALL.ai

AC crypto-prices-criptoya

Consulta cotizaciones de criptomonedas con CriptoYa por exchange y en forma agregada. Usar cuando el usuario pida "precio BTC en ARS", "cotizacion USDT", "precio ETH en USD", "mejor precio por exchange", "comparar exchanges", "precio en belo/ripio/lemon/binance/bybit", o cuando pida comisiones de retiro y fees por red.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 815 tokens Open the sourcegithub.com analyzed 2 d ago

Consulta cotizaciones de criptomonedas con CriptoYa por exchange y en forma agregada.

As a process C 58/100 · Has gaps — weak spots: inputs and preconditions, consistency, progress reporting

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
58/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Consistency w 8
40
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 · 0

✓ No critical or high findings

Files scanned: 1. 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 58/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 40Consistency. Frontmatter name (crypto-prices-criptoya) differs from the folder (criptoya)
  • 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
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 49 steps
  • 100Execution cost. Instruction body is 815 tokens
  • 100Running it twice. No mutating operations

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 320: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 49 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.