perl-testing

affaan-m/everything-claude-code · updated Apr 8, 2026

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$npx skills add https://github.com/affaan-m/everything-claude-code --skill perl-testing
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summary

Comprehensive testing strategies for Perl applications using Test2::V0, Test::More, prove, and TDD methodology.

skill.md

Perl Testing Patterns

Comprehensive testing strategies for Perl applications using Test2::V0, Test::More, prove, and TDD methodology.

When to Activate

  • Writing new Perl code (follow TDD: red, green, refactor)
  • Designing test suites for Perl modules or applications
  • Reviewing Perl test coverage
  • Setting up Perl testing infrastructure
  • Migrating tests from Test::More to Test2::V0
  • Debugging failing Perl tests

TDD Workflow

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

Test::More Fundamentals

The standard Perl testing module — widely used, ships with core.

Basic Assertions

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;

SKIP and TODO

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 Modern Framework

Test2::V0 is the modern replacement for Test::More — richer assertions, better diagnostics, and extensible.

Why Test2?

  • Superior deep comparison with hash/array builders
  • Better diagnostic output on failures
  • Subtests with cleaner scoping
  • Extensible via Test2::Tools::* plugins
  • Backward-compatible with Test::More tests

Deep Comparison with Builders

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'
);

Subtests

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;

Exception Testing with Test2

use v5.36;
use Test2::V0;

# Test that code dies
like(
    dies { divide(10
how to use perl-testing

How to use perl-testing on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add perl-testing
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/affaan-m/everything-claude-code --skill perl-testing

The skills CLI fetches perl-testing from GitHub repository affaan-m/everything-claude-code and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/perl-testing

Reload or restart Cursor to activate perl-testing. Access the skill through slash commands (e.g., /perl-testing) or your agent's skill management interface.

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation 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

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.541 reviews
  • Nia Johnson· Dec 28, 2024

    perl-testing reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Luis Agarwal· Dec 24, 2024

    perl-testing has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Shikha Mishra· Dec 4, 2024

    We added perl-testing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Rahul Santra· Nov 23, 2024

    Useful defaults in perl-testing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Aisha Smith· Nov 19, 2024

    Registry listing for perl-testing matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Li Mehta· Nov 15, 2024

    Solid pick for teams standardizing on skills: perl-testing is focused, and the summary matches what you get after install.

  • Yash 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.

  • Luis Bansal· Nov 3, 2024

    Useful defaults in perl-testing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Dhruvi Jain· Oct 26, 2024

    I recommend perl-testing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Pratham 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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