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.
Borrowing it
Nothing to install: this file belongs to AgriciDaniel/claude-ads. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/AgriciDaniel/claude-ads/main/CLAUDE.mdgit 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/instructions/agricidaniel/claude-ads/claude-md)<a href="https://agentmods.dev/instructions/agricidaniel/claude-ads/claude-md"><img src="https://agentmods.dev/badge/instructions/agricidaniel/claude-ads/claude-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00280 | $0.00280 |
| Opus 5 | $0.00140 | $0.00140 |
| Sonnet 5 | $0.00056 | $0.00056 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
claude-ads CLAUDE.md 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.
What it actually says
Claude Ads Repository Instructions
@AGENTS.md
AGENTS.md is the canonical portable repository contract. ads/SKILL.md is
the product entrypoint. Load focused skills and references only when the task
routes to them.
Architecture
ads/: primary/adsorchestration skill and shared references.skills/: focused platform and workflow skills.agents/: bounded workers that return results to the conductor.claude_ads_core/: deterministic schemas, normalization, scoring, reporting, and adapter contracts.control-plane/: product boundaries, evidence and capability manifests, safety policy, maturity, ecosystem decisions, and release gates.tests/andevals/: deterministic and model-facing verification.
Development
- Keep skill entrypoints concise and use progressive disclosure.
- Keep platform facts and volatile guidance in dated references, not permanent root instructions.
- Python tools expose a CLI, structured output, and tests proportional to risk.
- Agents return schema-valid results; the conductor owns final artifacts.
- Use manifest-derived counts and capability status instead of hand-maintained claims.
Verification
Run the focused tests for the changed surface, then the complete local suite.
Release claims additionally require every gate in
control-plane/RELEASE_REQUIREMENTS.md and required remote CI.
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.
- 8d ago First seen · 35 lines · 280 tokens per session scan A fb35b7e08a2e
claude-ads CLAUDE.md is an instructions file published in the GitHub repository AgriciDaniel/claude-ads (8,921 stars, last pushed 1mo ago), licensed MIT. It adds 280 tokens to every session, about $0.0014 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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