email-composer

An email-drafting assistant that shapes messages around the audience, purpose, tone, and requested outcome.

In plain words
What is it for?
Use it for outreach, replies, follow-ups, requests, declines, apologies, updates, introductions, and escalations.
Why use it?
It helps turn vague intentions into clear emails whose purpose and next step are easy to understand.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/jayrha/agentskills/email-composer
Any agent
npx skills add JayRHa/AgentSkills --skill email-composer
Clone the repo
git clone --depth 1 https://github.com/JayRHa/AgentSkills

Made for: Claude Code, Codex.

Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,417 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00111 $0.01417
Opus 5 $0.00056 $0.00709
Sonnet 5 $0.00022 $0.00283
Haiku 4.5 $0.00011 $0.00142

Measured 3d ago against content hash 3a8dac4231a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

email-composer 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 3d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/email_lint.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

email-composer/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Email Composer

Overview

This skill produces emails that are clear, correctly toned, well structured, and end with an unambiguous call to action (CTA). It works for new outreach, replies, follow-ups, requests, declines, apologies, status updates, introductions, and escalations.

Keywords: write email, draft email, compose, reply, follow up, cold outreach, subject line, tone, professional, polite, firm, apology, request, decline, introduction, escalation.

The core principle: every email should let the reader answer three questions in under 10 seconds — What is this about? What do you need from me? By when?

Workflow

Follow these steps in order. Ask only the questions you cannot reasonably infer from context; never block on a long questionnaire.

  1. Identify the five inputs. Audience, relationship, purpose, desired outcome (the CTA), and constraints (deadline, length, channel, formality). If two or more are missing and cannot be inferred, ask one concise clarifying message grouping all gaps.
  2. Pick the email type. Map the purpose to a pattern (request, follow-up, decline, apology, update, intro, cold outreach, escalation). See references/email-patterns.md.
  3. Choose the tone. Calibrate formality and warmth to the relationship and culture. Use the dial in references/tone-guide.md.
  4. Draft the subject line. Specific, ≤ 60 characters, scannable. Front-load the keyword. See subject-line rules in references/email-patterns.md.
  5. Write the body using the structure below.
  6. Make the CTA explicit. One primary ask, an owner, and a deadline. Never end with a vague "let me know."
  7. Self-review against references/checklist.md. Optionally run scripts/email_lint.py to catch length, hedging, passive voice, and missing CTA.
  8. Offer variants when tone is uncertain (e.g., "here's a warmer and a firmer version").

Body Structure (default)

Keep most emails to 5 short blocks. Aim for under 150 words unless the content demands more.

Read the full file on GitHub · 86 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 3d ago First seen · 86 lines · 111 tokens per session scan A 3a8dac4231a9

Subscribe to this mod's changes

email-composer is a skill published in the GitHub repository JayRHa/AgentSkills (4 stars, last pushed 1mo ago), licensed MIT. It adds 111 tokens to every session and 1,417 once invoked, about $0.0006 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 2026-08-31.

Related

Other skills, from other repositories

reverse-engineering-tools

Guide for reverse engineering protected games and anti-cheat components across user mode, kernel mode, and hypervisor-aware environments. Use this skill when analyzing drivers, IOCTL protocols, callback registration, injected-code artifacts, integrity checks, protected binaries, or debugging security-sensitive game…

gmh5225/awesome-game-security · 60 tokens

curating-bgs-modpack

Use when planning or building the whole Bethesda modpack incrementally — batch strategy, rollback point, naming convention, separator discipline, attribution, and declaring 风格 before adding mods. Triggers - "build a modpack", "plan the pack", "batch strategy", "rollback point", "naming convention", "declare 风格"…

hashgraph-online/awesome-codex-plugins · 137 tokens

evaluating-bgs-mods

Use when deciding whether a mod belongs in a modpack — judging mod quality, fit, risk, and pack-value BEFORE download/install. Triggers - "should I add this mod", "is this mod good", "评估这个mod", "这个mod值得装吗", "is this mod worth it", "this mod looks too good to be true", "compare these mods", "does this mod fit my pack".…

hashgraph-online/awesome-codex-plugins · 128 tokens

writing-modpack-changelog

Use when cutting a modpack release. Creates /docs/release-changelog.md if absent; appends a new version section with grouped changes. Triggers - 'cut a release', 'release notes', 'changelog', 'v1.2.3 changes', 'what changed since last version'.

hashgraph-online/awesome-codex-plugins · 69 tokens

agent-newbie-guide

Skill "agent-newbie-guide" from hashgraph-online/awesome-codex-plugins, covering codex 新手引导, 🚫 新手术语过滤(绝对禁止), 统一行为规范(内嵌), 📍 阶段位置 and 启动自检.

hashgraph-online/awesome-codex-plugins · 87 tokens

review-work

Quality gate: verify each acceptance criterion of a completed task/work unit, run quality checks, and create follow-up tasks for gaps. Use before merging or to audit delivered work. Invoked as /agiflow:review-work . Uses getworkunit, gettask, updatetask, createtask, createtaskcomment.

hashgraph-online/awesome-codex-plugins · 72 tokens