daily-report

daily-report is a skill for Claude Code, Codex from petrycz/ecommerce-mcp-automation. It costs 57 tokens per session (629 once invoked), scanned A, original, MIT.

A report generator that combines Shopify store sales and costs with Meta Ads spending and return on ad spend (ROAS) in a formatted Excel spreadsheet.

In plain words
What is it for?
Use it to create or refresh daily profit-and-loss and advertising-performance reports, including revenue, cost of goods, gross profit, ad spend, and ROAS.
Why use it?
It removes the need to copy figures manually between Shopify, Meta Ads, and a spreadsheet.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create or refresh daily profit-and-loss and advertising-performance reports, including revenue, cost of goods, gross profit, ad spend, and ROAS.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/petrycz/ecommerce-mcp-automation/daily-report
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 petrycz/ecommerce-mcp-automation --skill daily-report
Clone the repo
git clone --depth 1 https://github.com/petrycz/ecommerce-mcp-automation

Made for: Claude Code, 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 daily-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/petrycz/ecommerce-mcp-automation/daily-report/github.svg)](https://agentmods.dev/skills/petrycz/ecommerce-mcp-automation/daily-report)
Your own site
<a href="https://agentmods.dev/skills/petrycz/ecommerce-mcp-automation/daily-report"><img src="https://agentmods.dev/badge/skills/petrycz/ecommerce-mcp-automation/daily-report/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 daily-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/petrycz/ecommerce-mcp-automation/daily-report"><img src="https://agentmods.dev/badge/skills/petrycz/ecommerce-mcp-automation/daily-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 629 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 $0.00057 $0.00629
Opus 5.5 $0.00023 $0.00252
Sonnet 5.5 $0.00011 $0.00126
Haiku 4.5 $0.00006 $0.00063

Measured 2mo ago against content hash f864714ae469, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

daily-report 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 2mo 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.

skills/daily-report/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Daily P&L + Ad Performance Report

Produces a formatted spreadsheet combining same-day Shopify revenue/COGS/gross profit with Meta Ads spend/ROAS — the workflow this whole repo exists to demonstrate. No manual copy-paste: both sources are pulled and written to the workbook in one run.

When to use this skill

Trigger on requests like "run the daily report," "what's today's P&L," "pull this week's ad performance," "regenerate the report," or "how's ROAS looking today." Not for one-off questions about a single number — for those, call the get_daily_pnl / get_daily_ad_performance MCP tools directly instead of running the full workbook build (this requires the MCP servers to be registered — see the README's "As MCP servers" section. The full report path below does not need MCP config; it runs the client code directly).

Running it

python -m ecommerce_mcp.reporting.daily_report [output_path]
  • Defaults to examples/sample_daily_report.xlsx if no path is given.
  • Defaults to mock mode (MOCK_MODE=true) — runs with zero credentials against realistic fixtures.
  • For live data: set SHOPIFY_STORE_DOMAIN / SHOPIFY_ACCESS_TOKEN and/or META_ACCESS_TOKEN / META_AD_ACCOUNT_ID in .env (see .env.example). Each integration switches to live independently the moment its credentials are present — you don't need both to go live at once.

After running, report back the key numbers from the Summary sheet (revenue, COGS, gross profit, ad spend, net profit, blended ROAS) rather than just saying the file was written — that's the actual answer to "how are we doing today."

Architecture notes (for extending this skill)

  • src/ecommerce_mcp/clients/shopify_client.py / meta_ads_client.py — typed API clients, real endpoints and pagination, mock/live swappable via clients/http.py.
  • src/ecommerce_mcp/mcp_servers/ — the same clients exposed as MCP tools, for ad hoc questions in a chat rather than a full report run.
  • src/ecommerce_mcp/reporting/daily_report.py — orchestrates both clients concurrently and calls spreadsheet.py to build the workbook.

Read the full file on GitHub · 55 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. 2mo ago First seen · 55 lines · 57 tokens per session scan A f864714ae469

Subscribe to this mod's changes

daily-report is a skill published in the GitHub repository petrycz/ecommerce-mcp-automation (0 stars, last pushed 2mo ago), licensed MIT. It adds 57 tokens to every session and 629 once invoked, about $0.0002 per session on Opus 5.5. 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

daily-report compared with skills from other repositories

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