thank-you-email-writer

thank-you-email-writer is a skill for Claude Code from ur-grue/autopunk-media-skills. It costs 38 tokens per session (1,270 once invoked), scanned A, original, MIT.

A brief email thanking a journalist or media contact after coverage, an interview, an introduction, or another professional favour.

In plain words
What is it for?
Use it after a journalist publishes your story, a contact provides an interview or source, or someone makes a useful introduction.
Why use it?
It helps you acknowledge a specific contribution in a genuine way and maintain a professional relationship.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the autopunk-media-skills plugin — 187 skills shipped together

Good fit Use it after a journalist publishes your story, a contact provides an interview or source, or someone makes a useful introduction.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ur-grue/autopunk-media-skills/thank-you-email-writer
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 ur-grue/autopunk-media-skills --skill thank-you-email-writer
Clone the repo
git clone --depth 1 https://github.com/ur-grue/autopunk-media-skills

Made for: Claude Code.

Or install autopunk-media-skills, the plugin that ships this one along with the rest of its 187 skills.

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 thank-you-email-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/thank-you-email-writer/github.svg)](https://agentmods.dev/skills/ur-grue/autopunk-media-skills/thank-you-email-writer)
Your own site
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/thank-you-email-writer"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/thank-you-email-writer/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 thank-you-email-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/thank-you-email-writer"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/thank-you-email-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,270 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00038 $0.01270
Opus 5 $0.00019 $0.00635
Sonnet 5 $0.00008 $0.00254
Haiku 4.5 $0.00004 $0.00127

Measured 8d ago against content hash 907c77c54789, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

thank-you-email-writer 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 8d 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/pr-communications/media-relations/thank-you-email-writer/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Thank-You Email Writer

What This Skill Does

Writes a brief, genuine thank-you email to a journalist or media contact after coverage, an interview, or a professional favour, reinforcing the relationship without being transactional.

When To Use This Skill

  • A journalist has published a story based on your pitch or press release
  • A contact gave you an interview, a quote, or access to sources
  • A media professional made an introduction, shared a tip, or provided off-the-record guidance
  • You want to maintain a working relationship after a successful interaction

What You Need To Provide

Required:

  • The recipient's name and role
  • What you are thanking them for (published story, interview, introduction, etc.)
  • One specific detail about why their contribution mattered (avoids generic "thanks for everything")

Optional:

  • A concrete offer of future value (e.g., early access to an upcoming announcement, an introduction to a relevant source)
  • Your relationship history (first interaction, occasional contact, long-standing relationship)
  • Whether the coverage was positive, neutral, or mixed (tone adjusts accordingly)
  • Preferred sign-off name and title

How the Assistant Approaches This

  1. Opens with specificity, not pleasantries. The first sentence references the exact thing being acknowledged — the article headline, the interview date, or the specific favour. This signals that the email is personal, not a mass send.

  2. Keeps gratitude proportional. A published feature gets warmer language than a brief mention in a round-up. An introduction gets a lighter touch than someone who spent two hours on camera. The assistant matches the weight of the thank-you to the weight of the contribution.

  3. Avoids transactional framing. The email never reads as "thanks for the coverage, here is my next pitch." If a future value offer is included, it is framed as genuinely useful to the journalist — not as a quid pro quo.

  4. Handles mixed or critical coverage gracefully. If the coverage was not entirely positive, the thank-you acknowledges the journalist's work without disputing the content. Professionalism is the priority — arguing in a thank-you email destroys the relationship faster than saying nothing.

Read the full file on GitHub · 96 lines

Files

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.

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. 8d ago First seen · 96 lines · 38 tokens per session scan A 907c77c54789

Subscribe to this mod's changes

thank-you-email-writer is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 38 tokens to every session and 1,270 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 2026-09-04.

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