adspirer-setup

adspirer-setup is a skill for Claude Code from amekala/ads-mcp. It costs 52 tokens per session (1,437 once invoked), scanned A, original, MIT.

A setup workflow for creating a working brand workspace connected to Adspirer. It gathers brand information from local documents and advertising accounts, then creates an AGENTS.md reference file.

In plain words
What is it for?
Use it when starting in a new brand folder or refreshing context by scanning documentation, checking connected platforms, pulling campaign data, and preparing brand guidance.
Why use it?
It gives the coding agent the brand, audience, voice, competitors, budgets, goals, and campaign context needed for later advertising work.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions AGENTS.md; mentions Codex; $skill-name invocation.

Part of the adspirer-advertising-agent plugin — 19 skills, 5 commands, 1 agent, 2 MCP servers shipped together

Good fit Use it when starting in a new brand folder or refreshing context by scanning documentation, checking connected platforms, pulling campaign data, and preparing brand guidance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amekala/ads-mcp/adspirer-setup
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 amekala/ads-mcp --skill adspirer-setup
Clone the repo
git clone --depth 1 https://github.com/amekala/ads-mcp

Made for: Claude Code.

Or install adspirer-advertising-agent, the plugin that ships this one along with the rest of its 19 skills, 5 commands, 1 agent, 2 MCP servers.

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 adspirer-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-setup/github.svg)](https://agentmods.dev/skills/amekala/ads-mcp/adspirer-setup)
Your own site
<a href="https://agentmods.dev/skills/amekala/ads-mcp/adspirer-setup"><img src="https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-setup/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 adspirer-setup

Your own site · 80×15
<a href="https://agentmods.dev/skills/amekala/ads-mcp/adspirer-setup"><img src="https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,437 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: 1 finding, up to high

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 →

  • high Prompt Injection · line 128
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 $0.00052 $0.01437
Opus 5 $0.00026 $0.00718
Sonnet 5 $0.00010 $0.00287
Haiku 4.5 $0.00005 $0.00144

Measured 10d ago against content hash 29b5798df509, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

adspirer-setup 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.

plugins/adspirer/skills/adspirer-setup/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Run the full brand workspace setup. Follow these steps in order:

Step 1: Connect to Adspirer

Call get_connections_status directly.

  • If it works: continue to step 2.
  • If the MCP server is not found: tell the user: "The Adspirer MCP server isn't connected. Run: codex mcp add adspirer --url https://mcp.adspirer.com/mcp Then restart Codex, authenticate via /mcp, and run $adspirer-setup again."
  • If OAuth is triggered: tell the user a browser window is opening for authentication. Wait for them to confirm, then retry.
  • If no platforms are connected: tell the user to connect ad accounts at https://adspirer.ai/connections, then run setup again.

Step 2: Scan local folder

Search for brand documentation files: **/*.md, **/*.txt, **/*.csv, **/*.yaml, **/*.json, **/*.pdf

Read all discovered files. Extract:

  • Brand name and industry
  • Products/services
  • Target audience descriptions
  • Brand voice and tone indicators
  • Competitor mentions
  • Budget information
  • KPI targets or performance goals
  • Previous campaign strategies or results

If the folder is empty, that's fine — we'll build context from Adspirer data alone.

Step 3: Pull live campaign data

Call these Adspirer MCP tools (in parallel where possible):

  1. get_connections_status — which platforms are connected
  2. get_business_profile — saved brand profile
  3. list_campaigns — existing campaigns across all platforms
  4. get_campaign_performance (lookback_days: 30) — Google Ads performance
  5. get_linkedin_campaign_performance (lookback_days: 30) — LinkedIn performance
  6. get_meta_campaign_performance (lookback_days: 30) — Meta performance
  7. get_benchmark_context — industry benchmarks

If any tool errors (platform not connected), skip it and note the gap.

Step 4: Create AGENTS.md

Generate AGENTS.md at the project root. Combine local files + Adspirer data:

# [Brand Name] — Paid Media Workspace

## Brand Overview
[From docs + Adspirer: what they sell, who they sell to, industry, company size]

## Brand Voice
[From docs: tone, language style, prohibited words, preferred phrases]
[If not found: "No brand voice docs found — add guidelines to this folder to improve ad copy quality"]

## Target Audiences
[From docs + Adspirer campaign targeting data]
[List each audience with platform-specific targeting parameters if available]

## Active Platforms
[From get_connections_status]
- Google Ads: [connected/not connected] — [X active campaigns]
- Meta Ads: [connected/not connected] — [X active campaigns]
- LinkedIn Ads: [connected/not connected] — [X active campaigns]
- TikTok Ads: [connected/not connected] — [X active campaigns]

## Budget & Guardrails
[From docs if available, otherwise from Adspirer campaign data]
- Monthly total: [amount or "Not specified — ask user"]
- Platform allocation: [percentages or "Based on current spend: ..."]
- Max CPC: [if specified]
- Target CPA: [if specified]
- Min ROAS: [if specified]

## KPI Targets
[From docs if available]
- Primary goal: [leads/sales/awareness/traffic]
- Target metrics: [CTR, CPA, ROAS targets]

## Current Performance Snapshot
[From get_campaign_performance — most recent data]
| Platform | Campaigns | Monthly Spend | CTR | CPA | ROAS |
|----------|-----------|---------------|-----|-----|------|
| ...      | ...       | ...           | ... | ... | ...  |

## Key Findings from Existing Campaigns
[From analyze_search_terms + performance data]
- Top performing keywords: ...
- Top performing campaigns: ...
- Wasted spend areas: ...
- Recommendations: ...

## Competitors
[From docs if available]

## Seasonality
[From docs if available]

## Notes
[Anything else relevant found in docs]
[Gaps: "No brand voice guide found", "No budget specified", etc.]
[Known constraints:
- Conversion action primary/secondary setup is configured manually in Google Ads UI (not via Adspirer MCP)
- Campaign creation should be considered complete only after post-create verification of ads, keywords, and extensions]

## Strategy
Active strategy directives are maintained in `STRATEGY.md`. All skills and agents read
that file before campaign creation, keyword research, and ad copy generation.

Read the full file on GitHub · 183 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. 10d ago First seen · 183 lines · 52 tokens per session scan A 29b5798df509

Subscribe to this mod's changes

adspirer-setup is a skill published in the GitHub repository amekala/ads-mcp (89 stars, last pushed 3d ago), licensed MIT. It adds 52 tokens to every session and 1,437 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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