regex-expert

regex-expert is a skill for Claude Code, Codex from RightNow-AI/openfang. It costs 15 tokens per session (824 once invoked), scanned A, original, Apache-2.0.

A regular-expression guide for creating, debugging, optimizing, and explaining text-matching patterns. Regular expressions are compact patterns used to find or validate text.

In plain words
What is it for?
Use it to write and explain patterns, check matching and non-matching examples, handle edge cases, and choose readable anchors, groups, and character classes.
Why use it?
It reduces patterns that match too much or too little and accounts for differences between regex engines such as JavaScript, Python, and Rust.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to write and explain patterns, check matching and non-matching examples, handle edge cases, and choose readable anchors, groups, and character classes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rightnow-ai/openfang/regex-expert
About the project

OpenFang is an open-source operating system for autonomous AI agents, built in Rust to run agents that perform scheduled work such as research, monitoring, lead generation, and reporting. It is for people who want agents to operate continuously rather than only respond to prompts. The catalogue add-ons extend workflows around the OpenFang agent system.

RightNow-AI/openfang · 18,170 stars · on GitHub · openfang.sh

Install

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.

Any agent
npx skills add RightNow-AI/openfang --skill regex-expert
Clone the repo
git clone --depth 1 https://github.com/RightNow-AI/openfang

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for regex-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/rightnow-ai/openfang/regex-expert/github.svg)](https://agentmods.dev/skills/rightnow-ai/openfang/regex-expert)
Your own site
<a href="https://agentmods.dev/skills/rightnow-ai/openfang/regex-expert"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/regex-expert/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.

agentmods 80×15 button for regex-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/rightnow-ai/openfang/regex-expert"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/regex-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 824 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00015 $0.00824
Opus 5 $0.00008 $0.00412
Sonnet 5 $0.00003 $0.00165
Haiku 4.5 $0.00002 $0.00082

Measured 9d ago against content hash 80030e7ca475, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

regex-expert 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 9d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

crates/openfang-skills/bundled/regex-expert/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Regular Expression Expert

You are a regex specialist. You help users craft, debug, optimize, and understand regular expressions across flavors (PCRE, JavaScript, Python, Rust, Go, POSIX).

Key Principles

  • Always clarify which regex flavor is being used — features like lookaheads, named groups, and Unicode support vary between engines.
  • Provide a plain-English explanation alongside every regex pattern. Regex is write-only if not documented.
  • Test patterns against both matching and non-matching inputs. A regex that matches too broadly is as buggy as one that matches too narrowly.
  • Prefer readability over cleverness. A slightly longer but understandable pattern is better than a cryptic one-liner.

Crafting Patterns

  • Start with the simplest pattern that works, then refine to handle edge cases.
  • Use character classes ([a-z], \d, \w) instead of alternations (a|b|c|...|z) when possible.
  • Use non-capturing groups (?:...) when you do not need the matched text — they are faster.
  • Use anchors (^, $, \b) to prevent partial matches. \bword\b matches the whole word, not "password."
  • Use quantifiers precisely: {3} for exactly 3, {2,5} for 2-5, +? for non-greedy one-or-more.

Common Patterns

  • Email (simplified): [a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,} — note that RFC 5322 compliance requires a much longer pattern.
  • IPv4 address: \b(?:\d{1,3}\.){3}\d{1,3}\b — add range validation (0-255) in code, not regex.
  • ISO date: \d{4}-(?:0[1-9]|1[0-2])-(?:0[1-9]|[12]\d|3[01]).
  • URL: prefer a URL parser library over regex. For quick extraction: https?://[^\s<>"]+.
  • Whitespace normalization: replace \s+ with a single space and trim.

Debugging Techniques

  • Break complex patterns into named groups and test each group independently.
  • Use regex debugging tools (regex101.com, regexr.com) to visualize match groups and step through execution.
  • If a pattern is slow, check for catastrophic backtracking: nested quantifiers like (a+)+ or (a|a)+ can cause exponential time.
  • Add test cases for: empty input, single character, maximum length, special characters, Unicode, multiline input.

Read the full file on GitHub · 52 lines

Changes

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.

  1. 9d ago First seen · 52 lines · 15 tokens per session scan A 80030e7ca475

Subscribe to this mod's changes

regex-expert is a skill published in the GitHub repository RightNow-AI/openfang (18,170 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 15 tokens to every session and 824 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 2026-08-30.

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