microsoft-ads-cli

microsoft-ads-cli is a skill for Claude Code from almoretti/martech-ai-skills-and-tools. It costs 133 tokens per session (2,298 once invoked), scanned A, original, no licence file.

A command-line tool for analysing Microsoft Ads, the advertising platform formerly known as Bing Ads.

In plain words
What is it for?
It is for campaign, ad group, and keyword reporting; audience inspection; UET conversion-tracking audits; account-structure checks; and performance reports.
Why use it?
It helps retrieve and inspect advertising data without manually navigating the ad platform.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the martech-ai-skills plugin — 3 skills shipped together

Good fit It is for campaign, ad group, and keyword reporting; audience inspection; UET conversion-tracking audits; account-structure checks; and performance reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/almoretti/martech-ai-skills-and-tools/microsoft-ads-cli
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 almoretti/martech-ai-skills-and-tools --skill microsoft-ads-cli
Clone the repo
git clone --depth 1 https://github.com/almoretti/martech-ai-skills-and-tools

Made for: Claude Code.

Or install martech-ai-skills, the plugin that ships this one along with the rest of its 3 skills.

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 microsoft-ads-cli

README.md
[![agentmods](https://agentmods.dev/badge/skills/almoretti/martech-ai-skills-and-tools/microsoft-ads-cli/github.svg)](https://agentmods.dev/skills/almoretti/martech-ai-skills-and-tools/microsoft-ads-cli)
Your own site
<a href="https://agentmods.dev/skills/almoretti/martech-ai-skills-and-tools/microsoft-ads-cli"><img src="https://agentmods.dev/badge/skills/almoretti/martech-ai-skills-and-tools/microsoft-ads-cli/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 microsoft-ads-cli

Your own site · 80×15
<a href="https://agentmods.dev/skills/almoretti/martech-ai-skills-and-tools/microsoft-ads-cli"><img src="https://agentmods.dev/badge/skills/almoretti/martech-ai-skills-and-tools/microsoft-ads-cli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,298 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 unknown 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 $0.00133 $0.02298
Opus 5 $0.00067 $0.01149
Sonnet 5 $0.00027 $0.00460
Haiku 4.5 $0.00013 $0.00230

Measured 10d ago against content hash aa810eb9f0ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

microsoft-ads-cli 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 10d 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.

CLI/microsoft-ads-cli/skills/microsoft-ads-cli/SKILL.md · 188 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 10d ago First seen · 188 lines · 133 tokens per session scan A aa810eb9f0ba

Subscribe to this mod's changes

microsoft-ads-cli is a skill published in the GitHub repository almoretti/martech-ai-skills-and-tools (2 stars, last pushed 1mo ago), with no licence file. It adds 133 tokens to every session and 2,298 once invoked, about $0.0007 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 2026-08-31.

Related

Other skills, from other repositories

thinking-theory-of-constraints

When throughput or latency is pipeline-limited, identify the single binding constraint and exploit, subordinate, elevate, then recheck—ignore non-constraints.

tjboudreaux/cc-thinking-skills · 37 tokens

Vizra ADK Memory System

Implement persistent memory, session context, and vector memory (RAG) for AI agents.

vizra-ai/vizra-adk · 24 tokens

foundation-models

On-device LLM integration using Apple's Foundation Models framework. Use when implementing AI text generation, structured output, or tool calling.

rshankras/claude-code-apple-skills · 29 tokens

analytics-interpretation

Interpret app metrics and make data-driven decisions. Covers DAU/MAU, retention, LTV, ARPU, App Store Connect analytics, AARRR funnel analysis, cohort analysis, and diagnostic decision trees. Use when user wants to understand their metrics, diagnose problems, or build a data-driven growth plan.

rshankras/claude-code-apple-skills · 68 tokens

app-namer

Turn an app idea into validated, App-Store-ready name candidates. Use when the user says "name my app", "what should I call it", "app name ideas", "help me name this app", "is this name available", or needs to pick a brandable, ownable name before reserving it in App Store Connect.

rshankras/claude-code-apple-skills · 73 tokens

animation-patterns

SwiftUI animation patterns including springs, transitions, PhaseAnimator, KeyframeAnimator, SF Symbol effects, scroll-driven effects, mesh gradients, text renderers, and shader effects. Use when implementing, reviewing, or fixing animation or visual-effect code on iOS/macOS.

rshankras/claude-code-apple-skills · 58 tokens