markifact-overview

Reference guidance for Markifact, a platform for managing and reporting on advertising campaigns across services such as Google Ads and Meta Ads.

In plain words
What is it for?
It supports launching and editing campaigns, managing audiences and ads, diagnosing performance, and retrieving reports.
Why use it?
It helps an agent understand which operations are available and follow the platform's discover, inspect, and run workflow.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/markifact/markifact-mcp/markifact-overview
Any agent
npx skills add markifact/markifact-mcp --skill markifact-overview
Clone the repo
git clone --depth 1 https://github.com/markifact/markifact-mcp

Made for: Claude Code, Codex.

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,379 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00036 $0.02379
Opus 5 $0.00018 $0.01189
Sonnet 5 $0.00007 $0.00476
Haiku 4.5 $0.00004 $0.00238

Measured 2d ago against content hash ca0e7d2ff979, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

markifact-overview 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 2d 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.

shared/skills/markifact-overview/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

About Markifact

Markifact is a full performance-marketing management + reporting platform. Its remote MCP server at https://api.markifact.com/mcp exposes 1000+ operations that let you run accounts end-to-end: launch campaigns, edit creatives, manage audiences, rotate ads, sweep negatives, scale winners, diagnose underperformers, and pull reports across every connected platform. Reporting is a first-class capability — it's just not the only thing Markifact does.

Sign up at www.markifact.com for free credits. Connect your ad accounts at www.markifact.com/app/connections. Docs and platform coverage at www.markifact.com.

Platforms covered

  • Google Ads — Search, PMax, Display, Demand Gen. Full lifecycle: create campaign / ad group / RSA / PMax asset group / sitelinks / callouts / structured snippets / negative lists / portfolio bidding strategies / audience signals / labels. Reporting via GAQL or gads_get_report.
  • Meta Ads (Facebook + Instagram + Messenger) — campaign / ad set / ad lifecycle, custom + lookalike audiences, catalog (DPA), lead forms, CAPI health, ad previews, and the get→create→replace creative-edit workflow.
  • GA4, Google Search Console, Google Merchant Center, Google Sheets, Slides, Drive, BigQuery, Trends, Maps, Business Profile, DV360.
  • TikTok Ads, LinkedIn Ads, Pinterest Ads, Snapchat Ads, Reddit Ads, Microsoft Ads, Amazon Ads.
  • Shopify, Klaviyo, HubSpot, Slack, WhatsApp, plus utilities (web fetch, charts, code, AI media gen, scheduling, lists).

The 8 MCP tools

The server exposes a small meta-tool surface — you don't call 300 tools directly, you discover them at runtime:

Tool Purpose
find_operations Search the operation registry by intent. Always step 1. Each result includes `requires_approval: true
get_operation_inputs Get the full input schema (required + optional, types, examples) for an operation. Always step 2. Never guess shapes.
run_operation Execute an operation with requires_approval: false. No confirmation needed.
run_write_operation Execute an operation with requires_approval: true. Always confirm with the user first (see safe-write-operations skill).
list_connections List the user's authenticated logins per platform. Rarely needed — see Cross-cutting rules.
get_file_url Get a signed URL for a file stored in Markifact.
read_file Read the contents of a file the user uploaded or that an op produced.
upload_media Upload an image or video as a creative asset (e.g. for a Meta ad image, Google Ads asset, etc.). Only images and videos — no documents or other file types.

Read the full file on GitHub · 102 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. 2d ago First seen · 102 lines · 36 tokens per session scan A ca0e7d2ff979

Subscribe to this mod's changes

markifact-overview is a skill published in the GitHub repository markifact/markifact-mcp (48 stars, last pushed 14d ago), licensed MIT. It adds 36 tokens to every session and 2,379 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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