product-ad-production

product-ad-production is a skill for Claude Code, Codex from calesthio/generative-media-skills. It costs 72 tokens per session (8,762 once invoked), scanned A, original, MIT.

A production workflow for advertisements about physical products, software, apps, services, and ecommerce offers. It covers briefing, scripting, production, adaptation, claims, platform requirements, and quality checks.

In plain words
What is it for?
It supports product demonstrations, testimonials, launch ads, direct-response campaigns, brand ads, video variants, platform exports, and final review.
Why use it?
It helps ensure an ad clearly shows who the product is for, what it changes, why viewers should believe it, and what to do next. It also separates verified facts from claims that need support or approval.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It supports product demonstrations, testimonials, launch ads, direct-response campaigns, brand ads, video variants, platform exports, and final review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/calesthio/generative-media-skills/product-ad-production
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 calesthio/generative-media-skills --skill product-ad-production
Clone the repo
git clone --depth 1 https://github.com/calesthio/generative-media-skills

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 product-ad-production

README.md
[![agentmods](https://agentmods.dev/badge/skills/calesthio/generative-media-skills/product-ad-production/github.svg)](https://agentmods.dev/skills/calesthio/generative-media-skills/product-ad-production)
Your own site
<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/product-ad-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/product-ad-production/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 product-ad-production

Your own site · 80×15
<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/product-ad-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/product-ad-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,762 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 warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Output Handling · line 465
    Output size or generation rate is not bounded. Unbounded output enables denial-of-service through resource exhaustion, log flooding, or context-window stuffing.
    Fix: Set explicit limits on output length, generation count, and rate. Use max_tokens and truncation to prevent unbounded output.
  • medium Excessive Agency · line 441
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00072 $0.08762
Opus 5 $0.00036 $0.04381
Sonnet 5 $0.00014 $0.01752
Haiku 4.5 $0.00007 $0.00876

Measured 13d ago against content hash e006630e9b67, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

product-ad-production 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 13d 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/production/content-formats/product-ad-production/SKILL.md · 501 lines

How it starts

The opening of the file, as written. The whole thing — 501 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Ad Production

Produce an advertisement that makes the right person recognize a relevant situation, understand what the product changes, believe the proof, and know what to do next. Visual polish is not a substitute for product comprehension or claim support.

This skill is provider-neutral. Select image, video, capture, voice, music, editing, and composition tools only after the advertising problem is defined. Do not let a generation model's favorite visual language determine the concept.

Evidence language used here

  • Documented fact means a requirement or principle stated by a regulator, standards body, or platform source.
  • Research finding means an empirical result with a stated source and scope. It is evidence, not a guarantee for a new campaign.
  • Practitioner heuristic means a production rule worth testing, not a universal truth.

Platform behavior and ad products change. Platform facts in this skill were verified 2026-07-09. Re-check the exact placement specification, policy, interface preview, and destination requirements immediately before export and trafficking.

Start with a decision-grade brief

Do not write a script from a slogan and a product URL. Diagnose the commercial problem first.

Minimum input record

Capture or infer each field, marking assumptions explicitly:

Field Required decision
Business outcome Awareness, consideration, lead, trial, purchase, upsell, retention, or launch learning
Primary success measure One decision metric; supporting and guardrail metrics are separate
Audience Purchase situation and constraints, not demographics alone
Job to be done Progress sought, present struggle, emotional/social stakes, and competing solutions
Awareness state Unaware, problem-aware, solution-aware, product-aware, or returning customer
Product truth What the product is, how it works, prerequisites, limitations, price/offer, and current availability
Proposition One useful change the ad will make credible
Evidence Approved substantiation, demonstrations, customer data, certifications, testimonials, and provenance
Objection The most consequential reason a qualified viewer may not act
Placement Platform, ad product, buying objective, duration, aspect ratio, UI overlays, and sound context
Destination Exact landing page or store state; product, offer, naming, and price must agree with the ad
Brand system Correct product/packaging, marks, type, colors, sonic assets, and prohibited treatments
Rights and policy Talent, location, music, stock, creator, user content, AI/replica consent, category restrictions
Production constraints Deadline, budget, available real product, UI build, languages, render and review path

Read the full file on GitHub · 501 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. 13d ago First seen · 501 lines · 72 tokens per session scan A e006630e9b67

Subscribe to this mod's changes

product-ad-production is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 72 tokens to every session and 8,762 once invoked, about $0.0004 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 2026-08-30.

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