paid-social-kpi-exporter

paid-social-kpi-exporter is a skill for Codex from vibemarketer94/vibemarketer-skills. It costs 84 tokens per session (2,522 once invoked), scanned A, original, MIT.

A reporting skill that turns paid social advertising data into spreadsheet-ready tables and KPI reports. Paid social means advertising on platforms such as Meta; KPIs are measurements such as cost, clicks, conversion rate, and return on ad spend.

In plain words
What is it for?
Use it to export Meta Ads or other paid-social data to CSV, spreadsheets, or Markdown tables. It can prepare daily or weekly reports and calculate metrics including CPM, CPC, CTR, CVR, CPA, ROAS, MER, spend pacing, and blended CAC.
Why use it?
It helps organize advertising data at the right level and prevents incomplete comparisons. For example, week-over-week or year-over-year reports need the matching earlier time periods, not only the latest few days.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Claude Code; mentions Codex.

Good fit Use it to export Meta Ads or other paid-social data to CSV, spreadsheets, or Markdown tables. It can prepare daily or weekly reports and calculate metrics including CPM, CPC, CTR, CVR, CPA, ROAS, MER, spend pacing, and blended CAC.

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Install with agentmods
npx agentmods add skills/vibemarketer94/vibemarketer-skills/paid-social-kpi-exporter
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 vibemarketer94/vibemarketer-skills --skill paid-social-kpi-exporter
Clone the repo
git clone --depth 1 https://github.com/vibemarketer94/vibemarketer-skills

Made for: Codex.

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 paid-social-kpi-exporter

README.md
[![agentmods](https://agentmods.dev/badge/skills/vibemarketer94/vibemarketer-skills/paid-social-kpi-exporter/github.svg)](https://agentmods.dev/skills/vibemarketer94/vibemarketer-skills/paid-social-kpi-exporter)
Your own site
<a href="https://agentmods.dev/skills/vibemarketer94/vibemarketer-skills/paid-social-kpi-exporter"><img src="https://agentmods.dev/badge/skills/vibemarketer94/vibemarketer-skills/paid-social-kpi-exporter/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 paid-social-kpi-exporter

Your own site · 80×15
<a href="https://agentmods.dev/skills/vibemarketer94/vibemarketer-skills/paid-social-kpi-exporter"><img src="https://agentmods.dev/badge/skills/vibemarketer94/vibemarketer-skills/paid-social-kpi-exporter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,522 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 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 $0.00084 $0.02522
Opus 5 $0.00042 $0.01261
Sonnet 5 $0.00017 $0.00504
Haiku 4.5 $0.00008 $0.00252

Measured 12d ago against content hash 25a4e251f80e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

paid-social-kpi-exporter 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 12d ago.

The scan reads SKILL.md. This mod also ships 11 executable files (scripts/build_kpi_dashboard_pack.py, scripts/context_settings.py, scripts/kpi_dashboard_core.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/paid-social-kpi-exporter/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Turn paid social data into spreadsheet-ready tables, weekly control-room workbooks, and chart-ready reporting layers.

Before Exporting

  1. Read .agents/vibemarketer-context.md if it exists.
  2. Identify source data: Meta Ads CLI, Meta MCP/API fallback, Triple Whale, Northbeam, CSV, spreadsheet, Shopify/backend export, or pasted table.
  3. Confirm grain: daily, weekly, campaign, ad set, ad, product, or blended business level.
  4. Confirm destination: CSV, Markdown table, Google Sheets-ready table, Excel-ready formulas, or a saved file.
  5. Confirm comparison coverage before promising WoW/YoY charts. A latest-7-days pull can build a current-period workbook, but WoW cards need the previous 7 days / previous ISO week, YoY cards need the same ISO week last year, and Net New Reach cards need the account-level reach windows.
  6. Before running the export, tell the user: "A latest-7-days pull is enough for a current-period workbook. For full WoW/YoY cards and charts, we need current week, previous 7 days / previous ISO week, same ISO week last year, and optional Net New Reach windows. Campaign-level daily rows are enough to validate top-line comparison charts; keep the history at one grain and do not mix campaign-level history with ad/ad-set rows in the same KPI history file. If those are missing, the workbook still renders but comparisons will show n/a or single-point charts."
  7. If comparison coverage is missing, warn the user that the workbook will render but comparison cards/charts will show n/a or single-point visuals until they pull/import the missing windows.
  8. If using spreadsheet tooling, prefer structured APIs/libraries over string manipulation.
  9. If source files are CSV exports, use scripts/normalize_kpis.py when possible before writing a manual table.

Reference

Read references/kpi-schema.md when mapping columns, formulas, or sheet structure.

Use assets/daily-kpi-template.csv as a paste-ready tab template.

Use scripts/build_kpi_dashboard_pack.py when the user wants a weekly control-room workbook, daily pulse, action slots, source-of-truth metric layer, native spreadsheet charts, or a spreadsheet workbook from daily data.

Read the full file on GitHub · 192 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. 12d ago First seen · 192 lines · 84 tokens per session scan A 25a4e251f80e

Subscribe to this mod's changes

paid-social-kpi-exporter is a skill published in the GitHub repository vibemarketer94/vibemarketer-skills (36 stars, last pushed 3mo ago), licensed MIT. It adds 84 tokens to every session and 2,522 once invoked, about $0.0004 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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