test: add missing skips for native add-on tests

---
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---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/poisson/kurtosis/test/test.native.js

@@ -35,23 +35,26 @@ var data = require( './fixtures/julia/data.json' );
 // VARIABLES //
 
 var kurtosis = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( kurtosis instanceof Error )
+};
 
 
 // TESTS //
 
-tape( 'main export is a function', function test( t ) {
+tape( 'main export is a function', opts, function test( t ) {
 	t.ok( true, __filename );
 	t.strictEqual( typeof kurtosis, 'function', 'main export is a function' );
 	t.end();
 });
 
-tape( 'if provided `NaN` for `lambda`, the function returns `NaN`', function test( t ) {
+tape( 'if provided `NaN` for `lambda`, the function returns `NaN`', opts, function test( t ) {
 	var v = kurtosis( NaN );
 	t.equal( isnan( v ), true, 'returns NaN' );
 	t.end();
 });
 
-tape( 'if provided a mean parameter `lambda` that is not a positive number, the function returns `NaN`', function test( t ) {
+tape( 'if provided a mean parameter `lambda` that is not a positive number, the function returns `NaN`', opts, function test( t ) {
 	var v;
 
 	v = kurtosis( -1.0 );
@@ -66,7 +69,7 @@ tape( 'if provided a mean parameter `lambda` that is not a positive number, the
 	t.end();
 });
 
-tape( 'the function returns the excess kurtosis of a Poisson distribution', function test( t ) {
+tape( 'the function returns the excess kurtosis of a Poisson distribution', opts, function test( t ) {
 	var expected;
 	var lambda;
 	var i;

lib/node_modules/@stdlib/stats/base/dists/poisson/median/test/test.native.js

@@ -35,29 +35,32 @@ var data = require( './fixtures/julia/data.json' );
 // VARIABLES //
 
 var median = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( median instanceof Error )
+};
 
 
 // TESTS //
 
-tape( 'main export is a function', function test( t ) {
+tape( 'main export is a function', opts, function test( t ) {
 	t.ok( true, __filename );
 	t.strictEqual( typeof median, 'function', 'main export is a function' );
 	t.end();
 });
 
-tape( 'if provided `NaN` for `lambda`, the function returns `NaN`', function test( t ) {
+tape( 'if provided `NaN` for `lambda`, the function returns `NaN`', opts, function test( t ) {
 	var v = median( NaN );
 	t.equal( isnan( v ), true, 'returns NaN' );
 	t.end();
 });
 
-tape( 'if provided `0` for `lambda`, the function returns `0`', function test( t ) {
+tape( 'if provided `0` for `lambda`, the function returns `0`', opts, function test( t ) {
 	var v = median( 0 );
 	t.strictEqual( v, 0.0, 'returns 0' );
 	t.end();
 });
 
-tape( 'if provided a mean parameter `lambda` that is not a nonnegative number, the function returns `NaN`', function test( t ) {
+tape( 'if provided a mean parameter `lambda` that is not a nonnegative number, the function returns `NaN`', opts, function test( t ) {
 	var v;
 
 	v = median( -1.0 );
@@ -69,7 +72,7 @@ tape( 'if provided a mean parameter `lambda` that is not a nonnegative number, t
 	t.end();
 });
 
-tape( 'the function returns the median of a Poisson distribution', function test( t ) {
+tape( 'the function returns the median of a Poisson distribution', opts, function test( t ) {
 	var expected;
 	var lambda;
 	var i;

lib/node_modules/@stdlib/stats/base/dists/poisson/skewness/test/test.native.js

@@ -35,23 +35,26 @@ var data = require( './fixtures/julia/data.json' );
 // VARIABLES //
 
 var skewness = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( skewness instanceof Error )
+};
 
 
 // TESTS //
 
-tape( 'main export is a function', function test( t ) {
+tape( 'main export is a function', opts, function test( t ) {
 	t.ok( true, __filename );
 	t.strictEqual( typeof skewness, 'function', 'main export is a function' );
 	t.end();
 });
 
-tape( 'if provided `NaN` for `lambda`, the function returns `NaN`', function test( t ) {
+tape( 'if provided `NaN` for `lambda`, the function returns `NaN`', opts, function test( t ) {
 	var v = skewness( NaN );
 	t.equal( isnan( v ), true, 'returns NaN' );
 	t.end();
 });
 
-tape( 'if provided a mean parameter `lambda` that is not a positive number, the function returns `NaN`', function test( t ) {
+tape( 'if provided a mean parameter `lambda` that is not a positive number, the function returns `NaN`', opts, function test( t ) {
 	var v;
 
 	v = skewness( -1.0 );
@@ -66,7 +69,7 @@ tape( 'if provided a mean parameter `lambda` that is not a positive number, the
 	t.end();
 });
 
-tape( 'the function returns the skewness of a Poisson distribution', function test( t ) {
+tape( 'the function returns the skewness of a Poisson distribution', opts, function test( t ) {
 	var expected;
 	var lambda;
 	var i;