adspirer-performance-review

adspirer-performance-review is a skill for Claude Code from amekala/ads-mcp. It costs 41 tokens per session (207 once invoked), scanned A, original, MIT.

A workflow for reviewing advertising performance across all connected platforms, usually over the last 30 days.

In plain words
What is it for?
Use it to review Google, Meta, and LinkedIn campaigns, identify strategy drift, recommend three actions, and optionally audit campaign structure and settings.
Why use it?
It combines separate platform results into one scorecard and compares them with the brand's target measures, making problems easier to spot.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions AGENTS.md.

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

Good fit Use it to review Google, Meta, and LinkedIn campaigns, identify strategy drift, recommend three actions, and optionally audit campaign structure and settings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amekala/ads-mcp/adspirer-performance-review
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-performance-review
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-performance-review

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/amekala/ads-mcp/adspirer-performance-review"><img src="https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-performance-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 207 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 pass 7 Sept 2026
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 $0.00041 $0.00207
Opus 5 $0.00020 $0.00103
Sonnet 5 $0.00008 $0.00041
Haiku 4.5 $0.00004 $0.00021

Measured 13d ago against content hash f0dedc63b7c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

adspirer-performance-review 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.

plugins/adspirer/skills/adspirer-performance-review/SKILL.md · 15 lines

What it actually says

Run a full cross-platform performance review for $ARGUMENTS (default: last 30 days).

  1. Read AGENTS.md for KPI targets and brand context 1.5. Read STRATEGY.md (if it exists). Flag campaigns that conflict with active directives as "Strategy Drift" items.
  2. Pull live data from all connected platforms via Adspirer MCP tools: get_campaign_performance, get_linkedin_campaign_performance, get_meta_campaign_performance
  3. Compare actuals vs KPI targets from AGENTS.md
  4. Present a unified scorecard table with all platforms
  5. Highlight top problems and recommend top 3 actions
  6. If requested, include Campaign Integrity Audit fields (status, ad groups, ads, keywords, extensions, bidding drift).
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. 13d ago First seen · 15 lines · 41 tokens per session scan A f0dedc63b7c1

Subscribe to this mod's changes

adspirer-performance-review is a skill published in the GitHub repository amekala/ads-mcp (90 stars, last pushed 5d ago), licensed MIT. It adds 41 tokens to every session and 207 once invoked, about $0.0002 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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