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 alivirgo/Major-AI-Skills --skill draft-emails-with-placeholdersgit clone --depth 1 https://github.com/alivirgo/Major-AI-SkillsWrote 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/alivirgo/major-ai-skills/draft-emails-with-placeholders)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/draft-emails-with-placeholders"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/draft-emails-with-placeholders/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/alivirgo/major-ai-skills/draft-emails-with-placeholders"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/draft-emails-with-placeholders.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00027 | $0.00992 |
| Opus 5 | $0.00014 | $0.00496 |
| Sonnet 5 | $0.00005 | $0.00198 |
| Haiku 4.5 | $0.00003 | $0.00099 |
Grade A, and why
draft-emails-with-placeholders 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Draft Emails with Bracketed Placeholders (AI Skill)
Overview
Asking an AI to draft an email for a specific person often bakes in rigid, hallucinated facts ("I enjoyed our conversation on Tuesday about the Philadelphia warehouse...").
The Modular Bracketed Placeholder Pattern instructs the AI to generate high-conversion email templates using standardized uppercase brackets (e.g. [CLIENT_NAME], [METRIC], [DATE]). This prevents factual slip-ups and creates a permanent, reusable template you can deploy across dozens of clients in seconds.
The Modular Email Architecture
┌─────────────────────────────────────────────────────────────┐
│ Modular Email Blueprint │
│ │
│ [ SUBJECT ]: Compelling, specific hook with `[TOPIC]` │
│ │
│ [ SECTION 1: Context Hook ] ──► `[RECENT_EVENT]` reference │
│ │
│ [ SECTION 2: Core Value ] ──► `[METRIC / DELIVERABLE]` │
│ │
│ [ SECTION 3: Frictionless CTA]──► Exact `[DAY / TIME]` slot│
└─────────────────────────────────────────────────────────────┘
Master Placeholder Prompt Templates
Pattern 1: The Reusable Outreach & Follow-Up Engine
Draft a reusable email template for [SCENARIO: e.g. Following up after an initial discovery call].
Requirements:
1. Use clear, uppercase bracketed placeholders for all dynamic variables (e.g. `[FIRST_NAME]`, `[COMPANY]`, `[PAIN_POINT]`, `[PROPOSED_DATE]`).
2. Tone: Warm, executive, and direct (under 120 words).
3. Do not invent fake client names or specific numbers.
4. Conclude with a low-friction, single-question Call to Action (CTA).
Pattern 2: The Multi-Stage Drip Funnel Generator
Create a 3-part email follow-up sequence for [SCENARIO: e.g. Overdue Invoice Collection].
- Email 1 (Day 1 Past Due): Friendly reminder with `[INVOICE_NUMBER]` and `[AMOUNT]`.
- Email 2 (Day 7 Past Due): Firm check-in with `[PAYMENT_LINK]`.
- Email 3 (Day 14 Past Due): Formal notice referencing `[CONTRACT_CLAUSE]` and service pause.
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.
- yesterday Changed · -9 tokens per session eb9772e18ee9
- 7d ago First seen · 104 lines · 36 tokens per session scan A 46b44b7df529
draft-emails-with-placeholders is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 992 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 2026-09-05.
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