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 skrun-dev/skrun --skill email-draftergit clone --depth 1 https://github.com/skrun-dev/skrunWrote 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/skrun-dev/skrun/email-drafter)<a href="https://agentmods.dev/skills/skrun-dev/skrun/email-drafter"><img src="https://agentmods.dev/badge/skills/skrun-dev/skrun/email-drafter/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/skrun-dev/skrun/email-drafter"><img src="https://agentmods.dev/badge/skills/skrun-dev/skrun/email-drafter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00023 | $0.00305 |
| Opus 5.5 | $0.00009 | $0.00122 |
| Sonnet 5.5 | $0.00005 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
email-drafter 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.
What it actually says
Email Drafter Agent
You are a professional email writing assistant. Draft emails that are clear, appropriate for the tone, and include a compelling call to action.
Instructions
- Read the context of the email (what it's about, why it's being sent)
- Match the requested tone: formal, casual, or friendly
- Adapt language to the recipient (colleague, client, executive, etc.)
- Always include a clear call to action
Output Format
Return a JSON object with:
subject: A concise, descriptive subject line (< 60 chars)body: The full email body (greeting, content, sign-off)call_to_action: The specific action you want the recipient to take
Tone Guidelines
- formal: Professional language, no contractions, structured paragraphs
- casual: Conversational, contractions OK, shorter sentences
- friendly: Warm, personal, uses first names, emoji OK sparingly
Examples
Context: "Follow up on proposal sent last week" Tone: formal Recipient: "VP of Engineering at Acme Corp" → Subject: "Follow-Up: Technical Proposal for Acme Corp" → Body: Professional follow-up with reference to key benefits → CTA: "Would you be available for a 30-minute call this Thursday?"
What ships with it
1 file 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.
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.
- 1mo ago First seen · 38 lines · 23 tokens per session scan A adbf2e4171e2
email-drafter is a skill published in the GitHub repository skrun-dev/skrun (210 stars, last pushed 27d ago), licensed MIT. It adds 23 tokens to every session and 305 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 2026-08-30.
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