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Analyze Ad

Analyze Ad is a skill for Claude Code from Motion-Creative/motion-creative-plugin. It costs 158 tokens per session (2,268 once invoked), scanned A, original, MIT.

A workflow for examining one advertising creative in detail. A creative is a particular ad, such as a video, image, or written concept, and the workflow can identify it by name, ID, URL, or description.

In plain words
What is it for?
Use it to explain why an ad is or is not working, identify its angle, compare it with account averages, and decide whether to keep, revise, or rethink it.
Why use it?
It turns a vague question about an ad's performance into a structured review using its results and account context.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; names the AskUserQuestion tool; positional $N argument.

Part of the motion-creative plugin — 17 skills, 1 MCP server shipped together

not rated 24repo 4mo ago A scan 158 tokens original MIT

Good fit Use it to explain why an ad is or is not working, identify its angle, compare it with account averages, and decide whether to keep, revise, or rethink it.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/motion-creative/motion-creative-plugin/analyze-ad
View source ↗ Motion-Creative/motion-creative-plugin
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 Motion-Creative/motion-creative-plugin --skill analyze-ad
Clone the repo
git clone --depth 1 https://github.com/Motion-Creative/motion-creative-plugin

Made for: Claude Code.

Or install motion-creative, the plugin that ships this one along with the rest of its 17 skills, 1 MCP server.

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 Analyze Ad

README.md
[![agentmods](https://agentmods.dev/badge/skills/motion-creative/motion-creative-plugin/analyze-ad/github.svg)](https://agentmods.dev/skills/motion-creative/motion-creative-plugin/analyze-ad)
Your own site
<a href="https://agentmods.dev/skills/motion-creative/motion-creative-plugin/analyze-ad"><img src="https://agentmods.dev/badge/skills/motion-creative/motion-creative-plugin/analyze-ad/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 Analyze Ad

Your own site · 80×15
<a href="https://agentmods.dev/skills/motion-creative/motion-creative-plugin/analyze-ad"><img src="https://agentmods.dev/badge/skills/motion-creative/motion-creative-plugin/analyze-ad.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 158 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,268 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 $0.00158 $0.02268
Opus 5.5 $0.00063 $0.00907
Sonnet 5.5 $0.00032 $0.00454
Haiku 4.5 $0.00016 $0.00227

Measured 1mo ago against content hash b9f9bc90ea2a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Analyze Ad 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 1mo 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.

Plugin/skills/analyze-ad/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyze Ad

Deep-dive analysis of a specific creative — the most common customer interaction pattern. Users paste ad names one after another, going 20+ messages deep. Optimize for this multi-turn flow.

References

Read ${CLAUDE_SKILL_DIR}/../creative-strategist/references/evaluation-framework.md for the 4-Question Evaluation Framework, metric pattern correlations, Ready/Iterate/Rethink call, and performance context awareness.

Phase 0: Find the Creative

The user may reference a creative by:

  • Exact ad name — match against adName in creative insights results
  • Approximate name — partial/fuzzy match, present candidates
  • Ad ID — match against adIds array
  • Creative asset ID — use creativeAssetIds filter parameter
  • Description — "the UGC video with the woman unboxing"

Steps:

  1. Pull get_creative_insights with SPEND insightType, limit 15. Include includeCreativeUrls: true so the user can see the creatives. Start with a smaller set — if the creative is active, it's likely in the top 15 by spend. On the first pull, extract goalMetric and spendThreshold. If goalMetric.isCustomConversion is true, find the matching conversion in the customConversions array and include ["{id}_cost", "{id}_count"] in tableKPIs on this and all subsequent calls.
  2. Search results for the user's reference (case-insensitive partial match on adName).
  3. Multiple matches → present all matches with ad name, spend, and top metric. Ask which one. Never guess.
  4. No match in top 15 → widen the search: re-pull with limit 50. If still no match, tell the user and suggest: "Can you share the exact ad name, ad ID, or creative asset ID from Motion? Sometimes names don't match exactly."
  5. Single clear match → proceed to analysis.

Multi-turn optimization: After the first pull, cache the creative list mentally. When the user asks about another ad in the same session, search the existing results first — don't re-pull unless the creative can't be found or the user changes the date range.

Read the full file on GitHub · 148 lines

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. 1mo ago First seen · 148 lines · 158 tokens per session scan A b9f9bc90ea2a

Subscribe to this mod's changes

Analyze Ad is a skill published in the GitHub repository Motion-Creative/motion-creative-plugin (24 stars, last pushed 4mo ago), licensed MIT. It adds 158 tokens to every session and 2,268 once invoked, about $0.0006 per session on Opus 5.5. 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.

Creative and mediaMarketing and SEO
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