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 ur-grue/autopunk-media-skills --skill thank-you-email-writergit clone --depth 1 https://github.com/ur-grue/autopunk-media-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/ur-grue/autopunk-media-skills/thank-you-email-writer)<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.
<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>- 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 | $0.00038 | $0.01270 |
| Opus 5 | $0.00019 | $0.00635 |
| Sonnet 5 | $0.00008 | $0.00254 |
| Haiku 4.5 | $0.00004 | $0.00127 |
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.
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
-
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.
-
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.
-
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.
-
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.
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.
- 8d ago First seen · 96 lines · 38 tokens per session scan A 907c77c54789
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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