Comprehensive testing strategies for Perl applications using Test2::V0, Test::More, prove, and TDD methodology.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionperl-testingExecute the skills CLI command in your project's root directory to begin installation:
Fetches perl-testing from affaan-m/everything-claude-code and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate perl-testing. Access via /perl-testing in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Comprehensive testing strategies for Perl applications using Test2::V0, Test::More, prove, and TDD methodology.
Always follow the RED-GREEN-REFACTOR cycle.
# Step 1: RED — Write a failing test
# t/unit/calculator.t
use v5.36;
use Test2::V0;
use lib 'lib';
use Calculator;
subtest 'addition' => sub {
my $calc = Calculator->new;
is($calc->add(2, 3), 5, 'adds two numbers');
is($calc->add(-1, 1), 0, 'handles negatives');
};
done_testing;
# Step 2: GREEN — Write minimal implementation
# lib/Calculator.pm
package Calculator;
use v5.36;
use Moo;
sub add($self, $a, $b) {
return $a + $b;
}
1;
# Step 3: REFACTOR — Improve while tests stay green
# Run: prove -lv t/unit/calculator.t
The standard Perl testing module — widely used, ships with core.
use v5.36;
use Test::More;
# Plan upfront or use done_testing
# plan tests => 5; # Fixed plan (optional)
# Equality
is($result, 42, 'returns correct value');
isnt($result, 0, 'not zero');
# Boolean
ok($user->is_active, 'user is active');
ok(!$user->is_banned, 'user is not banned');
# Deep comparison
is_deeply(
$got,
{ name => 'Alice', roles => ['admin'] },
'returns expected structure'
);
# Pattern matching
like($error, qr/not found/i, 'error mentions not found');
unlike($output, qr/password/, 'output hides password');
# Type check
isa_ok($obj, 'MyApp::User');
can_ok($obj, 'save', 'delete');
done_testing;
use v5.36;
use Test::More;
# Skip tests conditionally
SKIP: {
skip 'No database configured', 2 unless $ENV{TEST_DB};
my $db = connect_db();
ok($db->ping, 'database is reachable');
is($db->version, '15', 'correct PostgreSQL version');
}
# Mark expected failures
TODO: {
local $TODO = 'Caching not yet implemented';
is($cache->get('key'), 'value', 'cache returns value');
}
done_testing;
Test2::V0 is the modern replacement for Test::More — richer assertions, better diagnostics, and extensible.
use v5.36;
use Test2::V0;
# Hash builder — check partial structure
is(
$user->to_hash,
hash {
field name => 'Alice';
field email => match(qr/\@example\.com$/);
field age => validator(sub { $_ >= 18 });
# Ignore other fields
etc();
},
'user has expected fields'
);
# Array builder
is(
$result,
array {
item 'first';
item match(qr/^second/);
item DNE(); # Does Not Exist — verify no extra items
},
'result matches expected list'
);
# Bag — order-independent comparison
is(
$tags,
bag {
item 'perl';
item 'testing';
item 'tdd';
},
'has all required tags regardless of order'
);
use v5.36;
use Test2::V0;
subtest 'User creation' => sub {
my $user = User->new(name => 'Alice', email => '[email protected]');
ok($user, 'user object created');
is($user->name, 'Alice', 'name is set');
is($user->email, '[email protected]', 'email is set');
};
subtest 'User validation' => sub {
my $warnings = warns {
User->new(name => '', email => 'bad');
};
ok($warnings, 'warns on invalid data');
};
done_testing;
use v5.36;
use Test2::V0;
# Test that code dies
like(
dies { divide(10Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Frontendsame repoReviews
4.5★★★★★41 reviews- NNia Johnson★★★★★Dec 28, 2024
perl-testing reduced setup friction for our internal harness; good balance of opinion and flexibility.
- LLuis Agarwal★★★★★Dec 24, 2024
perl-testing has been reliable in day-to-day use. Documentation quality is above average for community skills.
- SShikha Mishra★★★★★Dec 4, 2024
We added perl-testing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- RRahul Santra★★★★★Nov 23, 2024
Useful defaults in perl-testing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- AAisha Smith★★★★★Nov 19, 2024
Registry listing for perl-testing matched our evaluation — installs cleanly and behaves as described in the markdown.
- LLi Mehta★★★★★Nov 15, 2024
Solid pick for teams standardizing on skills: perl-testing is focused, and the summary matches what you get after install.
- YYash Thakker★★★★★Nov 7, 2024
Keeps context tight: perl-testing is the kind of skill you can hand to a new teammate without a long onboarding doc.
- LLuis Bansal★★★★★Nov 3, 2024
Useful defaults in perl-testing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- DDhruvi Jain★★★★★Oct 26, 2024
I recommend perl-testing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- PPratham Ware★★★★★Oct 14, 2024
Registry listing for perl-testing matched our evaluation — installs cleanly and behaves as described in the markdown.
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