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 TeamDzX/myllm-skills --skill email-replygit clone --depth 1 https://github.com/TeamDzX/myllm-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/teamdzx/myllm-skills/email-reply)<a href="https://agentmods.dev/skills/teamdzx/myllm-skills/email-reply"><img src="https://agentmods.dev/badge/skills/teamdzx/myllm-skills/email-reply/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/teamdzx/myllm-skills/email-reply"><img src="https://agentmods.dev/badge/skills/teamdzx/myllm-skills/email-reply.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 | $0.00032 | $0.00175 |
| Opus 5 | $0.00016 | $0.00088 |
| Sonnet 5 | $0.00006 | $0.00035 |
| Haiku 4.5 | $0.00003 | $0.00017 |
Grade A, and why
email-reply 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 10d 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
Draft an email reply
From the user's bullet points (and the original email if provided), write a reply.
- Open with an appropriate greeting; close with a sign-off.
- Cover every bullet; don't add commitments the user didn't make.
- Match the requested tone (default: warm but professional). Keep it tight — no filler.
- If key info is missing (a date, a name, a figure), leave a clearly marked
[placeholder]rather than inventing it. - Mirror the original email's level of formality when one is supplied.
Output just the email — an optional subject line, then the body. No commentary before or after.
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.
- 10d ago First seen · 18 lines · 32 tokens per session scan A d65ed62d6fcf
email-reply is a skill published in the GitHub repository TeamDzX/myllm-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 175 once invoked, about $0.0002 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.
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