sponsorship-rate-card

sponsorship-rate-card is a skill for Claude Code from ur-grue/autopunk-media-skills. It costs 43 tokens per session (1,780 once invoked), scanned A, original, MIT.

A newsletter sponsorship rate card is a document listing advertising placements, audience measurements, prices, and commercial terms for potential sponsors.

In plain words
What is it for?
Use it to answer sponsor rate requests, support outreach, or update commercial information as the newsletter grows.
Why use it?
It replaces scattered pricing notes or email explanations with one clear reference document for sponsorship enquiries and media kits.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

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

Good fit Use it to answer sponsor rate requests, support outreach, or update commercial information as the newsletter grows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ur-grue/autopunk-media-skills/sponsorship-rate-card
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 sponsorship-rate-card
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 sponsorship-rate-card

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/sponsorship-rate-card"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/sponsorship-rate-card.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,780 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 $0.00043 $0.01780
Opus 5 $0.00022 $0.00890
Sonnet 5 $0.00009 $0.00356
Haiku 4.5 $0.00004 $0.00178

Measured 8d ago against content hash 530ecd2e63f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

sponsorship-rate-card 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/newsletter/monetization/sponsorship-rate-card/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sponsorship Rate Card

What This Skill Does

Generates a formatted newsletter sponsorship rate card that documents placement options, audience metrics, pricing tiers, and terms — suitable for sending to prospective sponsors or publishing as part of a media kit.

When To Use This Skill

  • A potential sponsor has asked "what are your rates?" and you do not yet have a document to send them
  • You are preparing a media kit for outbound sponsor prospecting and need the rate card component
  • Your current rates need to be formalised from informal notes or email threads into a professional document
  • You have grown your list significantly and want to update your rates and reframe the value proposition for sponsors

What You Need To Provide

Required: Newsletter name, subscriber count, open rate, click rate (if available), and publishing cadence; the placement options you offer or are considering (e.g. dedicated send, top-of-newsletter banner, mid-newsletter mention, sponsored post, classified ad) Optional: Audience demographics or professional profile (the more specific the better — sponsors pay more for precisely defined audiences); CPM or flat-rate pricing preferences; any existing sponsors you are comfortable naming as references; exclusivity terms; typical format constraints for each placement (word count, image specs)

How the Assistant Approaches This

  1. Calculates or presents CPM (cost per thousand impressions) ranges for each placement based on provided metrics and industry benchmarks for newsletter advertising, flagging if the provided rates are above or below typical ranges for the audience type
  2. Describes each placement option with specificity: what it includes, where it appears in the edition, typical format and length, and what the sponsor can expect in terms of reader context when they encounter the ad
  3. Frames the audience description in the language sponsors use when evaluating media buys — job titles, decision-making authority, professional context — not in editorial language about what makes the newsletter interesting to read
  4. Structures the document so the most valuable placement leads (not buried in a wall of text) and pricing is unambiguous — sponsors should not need to write back to ask what a placement actually costs
  5. Includes standard terms that protect both parties: booking lead time, content approval process, exclusivity conditions, cancellation policy

Read the full file on GitHub · 135 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 · 135 lines · 43 tokens per session scan A 530ecd2e63f9

Subscribe to this mod's changes

sponsorship-rate-card is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 43 tokens to every session and 1,780 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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