email-patterns

email-patterns is a skill for Claude Code, Codex from mikailustuner/OmniRule. It costs 18 tokens per session (1,240 once invoked), scanned A, original, no licence file.

A guide to email sent by applications, covering transactional messages, templates, delivery patterns and feedback loops. Transactional email includes messages such as receipts, password resets and account alerts.

In plain words
What is it for?
It is for planning email templates, sending automated account messages and setting up delivery feedback processes.
Why use it?
It helps teams design reliable application email and learn from delivery or user feedback.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: agent in frontmatter.

Good fit It is for planning email templates, sending automated account messages and setting up delivery feedback processes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mikailustuner/omnirule/email-patterns
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 mikailustuner/OmniRule --skill email-patterns
Clone the repo
git clone --depth 1 https://github.com/mikailustuner/OmniRule

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 email-patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/mikailustuner/omnirule/email-patterns/github.svg)](https://agentmods.dev/skills/mikailustuner/omnirule/email-patterns)
Your own site
<a href="https://agentmods.dev/skills/mikailustuner/omnirule/email-patterns"><img src="https://agentmods.dev/badge/skills/mikailustuner/omnirule/email-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.

agentmods 80×15 button for email-patterns

Your own site · 80×15
<a href="https://agentmods.dev/skills/mikailustuner/omnirule/email-patterns"><img src="https://agentmods.dev/badge/skills/mikailustuner/omnirule/email-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,240 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.
Origin unknown 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 $0.00018 $0.01240
Opus 5.5 $0.00007 $0.00496
Sonnet 5.5 $0.00004 $0.00248
Haiku 4.5 $0.00002 $0.00124

Measured 1mo ago against content hash e248691200f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

email-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 1mo 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.

skills/email-patterns/SKILL.md · 240 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 1mo ago First seen · 240 lines · 18 tokens per session scan A e248691200f6

Subscribe to this mod's changes

email-patterns is a skill published in the GitHub repository mikailustuner/OmniRule (5 stars, last pushed 10d ago), with no licence file. It adds 18 tokens to every session and 1,240 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

blind-sqli

Blind SQL injection under hostile WAF — manual bypass playbook for when sqlmap fails because common tokens (SUBSTRING, IF, AND, WHERE, single quotes) are filtered. Covers token-fingerprinting probe loops, arithmetic-multiplication boolean evaluation, hex-encoded literals, and exponential-probe binary search. Loaded on…

PurpleAILAB/Decepticon · 88 tokens

groq-inference

Ultra-fast LLM inference on custom LPU hardware. OpenAI-compatible API at api.groq.com. Lowest latency in the industry (500-1000+ tok/s). Supports chat completions, vision, audio (Whisper STT + TTS), tool calling, JSON mode, and streaming. Free tier available. Inference only — no training.

synthetic-sciences/openscience · 77 tokens

golang-graphql

Implements GraphQL APIs in Golang using gqlgen or graphql-go. Apply when building GraphQL servers, designing schemas, writing resolvers, handling subscriptions, or integrating GraphQL with existing Go HTTP services. Also apply when the codebase imports github.com/99designs/gqlgen or github.com/graph-gophers/graphql-go.

samber/cc-skills-golang · 77 tokens

golang-grpc

Provides gRPC usage guidelines, protobuf organization, and production-ready patterns for Golang microservices. Use when implementing, reviewing, or debugging gRPC servers/clients, writing proto files, setting up interceptors, handling gRPC errors with status codes, configuring TLS/mTLS, testing with bufconn, or…

samber/cc-skills-golang · 72 tokens

golang-swagger

Golang OpenAPI/Swagger documentation with swaggo/swag — annotation comments (@Summary, @Param, @Success, @Router, @Security), swag init code generation, framework integrations (gin, echo, fiber, chi, net/http), security definitions (Bearer/JWT, OAuth2, API key), and struct tags (swaggertype, enums, example…

samber/cc-skills-golang · 146 tokens

xxe

Hunt XML External Entity flaws in parsers and validate file read / SSRF impact with strict negative controls.

PurpleAILAB/Decepticon · 25 tokens