Claude Ads is a Claude Code skill for managing paid-media operations across 12 advertising platforms, using account data or exports to produce audits, plans, creative workflows, experiments, monitoring, and reports. Agencies, consultants, and in-house performance teams use it for source-based analysis and controlled account work. The catalogue entries are its platform-specific skills, workers, and supporting instructions.
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 AgriciDaniel/claude-ads --skill ads-photoshootgit clone --depth 1 https://github.com/AgriciDaniel/claude-adsWrote 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/agricidaniel/claude-ads/ads-photoshoot)<a href="https://agentmods.dev/skills/agricidaniel/claude-ads/ads-photoshoot"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-ads/ads-photoshoot/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/agricidaniel/claude-ads/ads-photoshoot"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-ads/ads-photoshoot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
- 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 | $0.00062 | $0.00252 |
| Opus 5 | $0.00031 | $0.00126 |
| Sonnet 5 | $0.00012 | $0.00050 |
| Haiku 4.5 | $0.00006 | $0.00025 |
Grade A, and why
ads-photoshoot 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.
What it actually says
Product Photography Variants
- Confirm rights to the product image and collect the validated brand profile, product facts, intended placements, provider capability, cost ceiling, and output root.
- Preserve product geometry, packaging, logos, labels, color, and material unless the operator explicitly approves a change.
- Define distinct production hypotheses such as studio, contextual use, ingredient story, scale/detail, or lifestyle; do not imply unsupported product outcomes.
- Generate approved aspect ratios and record source hashes, prompt version, provider/model, cost, output hashes, and dimensions.
- Validate product fidelity, visual defects, safe zones, accessibility, and policy.
- Store assets and manifest atomically inside the run directory.
Human review is mandatory. Do not create deceptive before/after evidence, people or endorsements without authorization, or regulated claims from visual implication.
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.
- 13d ago First seen · 22 lines · 62 tokens per session scan A ac42a9c63510
ads-photoshoot is a skill published in the GitHub repository AgriciDaniel/claude-ads (9,198 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 252 once invoked, about $0.0003 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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