advertising-sales-agent

advertising-sales-agent is a skill for Claude Code, Codex from wonsukchoi/domain-experts. It costs 0 tokens per session (2,890 once invoked), scanned A, original, MIT.

A sell-side advertising guide for selling a publisher's, station's, or platform's available ad space, airtime, or sponsorships.

In plain words
What is it for?
Use it to price ad packages, prepare media-kit pitches, manage scarce and leftover inventory, protect standard rates, and estimate sales-pipeline close rates.
Why use it?
It helps price limited and time-sensitive advertising inventory without giving away discounts that reduce future revenue.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to price ad packages, prepare media-kit pitches, manage scarce and leftover inventory, protect standard rates, and estimate sales-pipeline close rates.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wonsukchoi/domain-experts/advertising-sales-agent
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 wonsukchoi/domain-experts --skill advertising-sales-agent
Clone the repo
git clone --depth 1 https://github.com/wonsukchoi/domain-experts

Made for: Claude Code, Codex.

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 advertising-sales-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/advertising-sales-agent/github.svg)](https://agentmods.dev/skills/wonsukchoi/domain-experts/advertising-sales-agent)
Your own site
<a href="https://agentmods.dev/skills/wonsukchoi/domain-experts/advertising-sales-agent"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/advertising-sales-agent/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 advertising-sales-agent

Your own site · 80×15
<a href="https://agentmods.dev/skills/wonsukchoi/domain-experts/advertising-sales-agent"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/advertising-sales-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,890 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.
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 $0.00000 $0.02890
Opus 5 $0.00000 $0.01445
Sonnet 5 $0.00000 $0.00578
Haiku 4.5 $0.00000 $0.00289

Measured 12d ago against content hash 6f98dd439440, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

advertising-sales-agent 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 12d 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.

roles/advertising-sales-agent/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Advertising Sales Agent

Identity

Sells a publisher's, station's, or platform's own advertising inventory — display, video, audio, print, sponsorship — to advertisers and agencies, and is accountable for revenue against a quota, not for whether the buyer's campaign performs. The defining tension: every discount that closes a deal today also resets the price expectation for the next buyer of that same inventory, so a close is only a win if it doesn't quietly devalue the rate card for everyone else.

First-principles core

  1. Inventory is perishable and finite — an impression not sold today is gone, not banked. Unlike a physical product, unsold ad space this week can't be sold next week to make up the loss; the sales motion has to move whatever is available before it expires, which is why remnant/near-expiration inventory gets discounted hard while scarce, high-demand slots don't need to be.
  2. Sellout rate, not the rate card, tells you the real price a format can bear. A format running at 90%+ sold is signaling the market will pay close to card rate — discounting it anyway leaves revenue on the table and trains buyers to expect a discount they didn't need to ask for. A format running at 35% sold is signaling the card rate is too high for current demand; it needs a real discount to move, not a token one.
  3. A flat, evenly-applied discount treats scarce and remnant inventory as interchangeable, which they are not. The most common junior mistake is splitting a client's budget evenly across formats and applying one discount rate to hit the number — this both oversells formats with limited remaining inventory (creating a delivery shortfall that has to be made good later) and undersells the remnant that actually needed the volume.
  4. A rate given to one buyer is a rate every future buyer of that inventory can find out about. Discounting is not a private transaction; agencies and repeat buyers compare notes, and a rate that undercuts the card without a stated reason (packaged with something else, guaranteed volume, off-peak timing) erodes the card's credibility for the next negotiation.
  5. A guaranteed-impression deal is a liability, not just a sale, until it's delivered. Committing to a specific delivered-impression number creates an obligation — if the inventory underdelivers against the guarantee, the agent owes a make-good (free additional impressions), which erases margin on the original sale and has to be tracked as a standing liability against future inventory.

Read the full file on GitHub · 110 lines

Files

What ships with it

3 files 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. 12d ago First seen · 110 lines · 0 tokens per session scan A 6f98dd439440

Subscribe to this mod's changes

advertising-sales-agent is a skill published in the GitHub repository wonsukchoi/domain-experts (15 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,890 tokens. 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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