how to avoid trivial TRUE in data-variable==env-variable when both have the same name?

Question

How can I avoid the trivial "a==a is always TRUE" condition in code where a data-variable and an env-variable share the same name, like:

library(dplyr)
cyl <- 8


## creates unintended results--doesn't actually filter anything out
fn_a <- function(data, cyl){
  data %>%
    filter(cyl==cyl) %>%
    select(cyl)
}

mtcars %>% fn_a(cyl)
#>                     cyl
#> Mazda RX4             6
#> Mazda RX4 Wag         6
#> Datsun 710            4
#> Hornet 4 Drive        6
etc

changing the name of the env-variable (in this case the function argument) is obviously an option:

fn_b <- function(data, cyl_val){
  data %>%
    filter(cyl==cyl_val) %>%
    select(cyl)
}

mtcars %>% fn_b(cyl)
#>                     cyl
#> Hornet Sportabout     8
#> Duster 360            8
#> Merc 450SE            8
#> Merc 450SL            8
#> Merc 450SLC           8
#> Cadillac Fleetwood    8
#> Lincoln Continental   8
#> Chrysler Imperial     8
#> Dodge Challenger      8
#> AMC Javelin           8
#> Camaro Z28            8
#> Pontiac Firebird      8
#> Ford Pantera L        8
#> Maserati Bora         8

but it's easier to remember function arguments without this renaming.

Is there a way to disambiguate between the env-variable and the data-variable with the same name?