Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add loulanyue/awesome-claude-notes --skill perl-patternsgit clone --depth 1 https://github.com/loulanyue/awesome-claude-notesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/loulanyue/awesome-claude-notes/perl-patterns)<a href="https://agentmods.dev/skills/loulanyue/awesome-claude-notes/perl-patterns"><img src="https://agentmods.dev/badge/skills/loulanyue/awesome-claude-notes/perl-patterns/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/loulanyue/awesome-claude-notes/perl-patterns"><img src="https://agentmods.dev/badge/skills/loulanyue/awesome-claude-notes/perl-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 42 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
- high Anti-Refusal · line 323 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
- high Anti-Refusal · line 244 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
- medium Agent Snooping · line 4 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 508 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00028 | $0.03525 |
| Opus 5 | $0.00014 | $0.01762 |
| Sonnet 5 | $0.00006 | $0.00705 |
| Haiku 4.5 | $0.00003 | $0.00352 |
Grade A, and why
perl-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
6 near-identical copies found in the catalogue:
- perl-patterns — 94% identical, 9 lines differ
- perl-patterns — 91% identical, 12 lines differ
- perl-patterns — 91% identical, 11 lines differ
- perl-patterns — 89% identical, 11 lines differ
- perl-patterns — 86% identical, 14 lines differ
- perl-patterns — 86% identical, 14 lines differ
How it starts
The opening of the file, as written. The whole thing — 514 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Modern Perl Development Patterns
Idiomatic Perl 5.36+ patterns and best practices for building robust, maintainable applications.
When to Activate
- Writing new Perl code or modules
- Reviewing Perl code for idiom compliance
- Refactoring legacy Perl to modern standards
- Designing Perl module architecture
- Migrating pre-5.36 code to modern Perl
How It Works
Apply these patterns as a bias toward modern Perl 5.36+ defaults: signatures, explicit modules, focused error handling, and testable boundaries. The examples below are meant to be copied as starting points, then tightened for the actual app, dependency stack, and deployment model in front of you.
Core Principles
1. Use v5.36 Pragma
A single use v5.36 replaces the old boilerplate and enables strict, warnings, and subroutine signatures.
# Good: Modern preamble
use v5.36;
sub greet($name) {
say "Hello, $name!";
}
# Bad: Legacy boilerplate
use strict;
use warnings;
use feature 'say', 'signatures';
no warnings 'experimental::signatures';
sub greet {
my ($name) = @_;
say "Hello, $name!";
}
2. Subroutine Signatures
Use signatures for clarity and automatic arity checking.
use v5.36;
# Good: Signatures with defaults
sub connect_db($host, $port = 5432, $timeout = 30) {
# $host is required, others have defaults
return DBI->connect("dbi:Pg:host=$host;port=$port", undef, undef, {
RaiseError => 1,
PrintError => 0,
});
}
# Good: Slurpy parameter for variable args
sub log_message($level, @details) {
say "[$level] " . join(' ', @details);
}
# Bad: Manual argument unpacking
sub connect_db {
my ($host, $port, $timeout) = @_;
$port //= 5432;
$timeout //= 30;
# ...
}
3. Context Sensitivity
Understand scalar vs list context — a core Perl concept.
use v5.36;
my @items = (1, 2, 3, 4, 5);
my @copy = @items; # List context: all elements
my $count = @items; # Scalar context: count (5)
say "Items: " . scalar @items; # Force scalar context
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 514 lines · 28 tokens per session scan A b6a787f4e744
perl-patterns is a skill published in the GitHub repository loulanyue/awesome-claude-notes (270 stars, last pushed 7d ago), licensed MIT. It adds 28 tokens to every session and 3,525 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
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Load before editing any Rust crate in this repo (currently runners/swarm-sandbox-runner). Covers the mandatory local validation gate, common rustfmt/clippy pitfalls, and Windows-specific Rust correctness patterns that CI enforces but are hard to catch locally without a Windows toolchain.
widen-return-type
When delegating a task affected by this skill, include.
ai-ml-development
AI and machine learning development with PyTorch, TensorFlow, and LLM integration. Use when building ML models, training pipelines, fine-tuning LLMs, or implementing AI features.
android-development
Android development with Kotlin, Jetpack Compose, and modern Android architecture. Use when building Android apps, implementing Material Design, or following Android best practices.
ios-development
Comprehensive guide for building native Apple platform applications.
kotlin-multiplatform
KMP/CMP shared business logic, Compose Multiplatform, expect/actual, Ktor, SQLDelight, and platform-specific implementations. Use when building cross-platform Kotlin applications for Android, iOS, desktop, or web.