Bytesagain Ecom Ops

Optimize e-commerce operations with AI. Input: sales data, ad spend, inventory levels. Output: attribution analysis, ad ROI report, inventory reorder plan, p...

Security Scan

The skill's code and instructions match its e‑commerce analysis purpose: it runs local shell+Python routines, does not request credentials, and has no network or installer steps.

Purpose & Capability

Name/description (e‑commerce ops: attribution, ROI, inventory, pricing) align with the provided scripts and commands. There are no unrelated credentials, binaries, or external services required.

Instruction Scope

SKILL.md directs the agent to run the included scripts/script.sh with explicit command-line arguments. The runtime instructions do not ask the agent to read arbitrary system files, other skills' configs, or send data elsewhere.

Install Mechanism

No install spec is provided (instruction-only). The only executable code is the included scripts/script.sh which runs local Python snippets; nothing is downloaded or extracted from remote URLs.

Credentials

The skill declares no required environment variables, credentials, or config paths. The script references HOME to create a data directory (~/.local/share/bytesagain-ecom-ops) which is proportionate to a local CLI-style tool.

Persistence & Privilege

always:false (normal). The script creates a per-user data directory under HOME but does not appear to write or exfiltrate data elsewhere. If installed, it will have a persistent folder in the user profile; this is low‑privilege but worth noting.

Assessment

This skill appears internally consistent and runs local analysis scripts (Bash + embedded Python). It does not request keys or reach out to remote endpoints in the included code. If you plan to use it, review scripts/script.sh yourself (it is packaged with the skill) and run it in a non‑privileged environment first if you are uncertain. Note it will create a directory at ~/.local/share/bytesagain-ecom-ops for its data; there is no evidence of network exfiltration or hidden endpoints in the provided files.

Ecom Ops

Optimize e-commerce operations with AI-powered analysis. Covers marketing attribution, ad spend ROI, inventory planning, and pricing strategy for Shopify and multi-channel stores.

Commands

attribution

Analyze marketing channel attribution and ROAS.

bash scripts/script.sh attribution --channels "google:5000,meta:3000,email:500,organic:2000" --revenue 18000

roi

Calculate ad campaign ROI and recommend budget allocation.

bash scripts/script.sh roi --spend 8000 --revenue 18000 --cogs-pct 40 --platform shopify

inventory

Generate reorder recommendations based on sales velocity.

bash scripts/script.sh inventory --product "SKU-001" --current-stock 120 --daily-sales 15 --lead-days 14

pricing

Analyze pricing strategy and suggest optimizations.

bash scripts/script.sh pricing --cost 25 --current-price 79 --competitor-price 69 --margin-target 60

cohort

Analyze customer cohort retention and LTV.

bash scripts/script.sh cohort --new-customers 500 --month1-retained 210 --month3-retained 95 --avg-order 85

funnel

Analyze conversion funnel and identify drop-off points.

bash scripts/script.sh funnel --visits 10000 --pdp-views 3200 --add-to-cart 850 --checkout 320 --orders 280

help

Show all commands.

bash scripts/script.sh help

Supported Platforms

Shopify, WooCommerce, Amazon, TikTok Shop, multi-channel

Key Metrics

• ROAS, CAC, LTV, contribution margin
• Reorder point, safety stock, turnover rate
• Conversion rate by funnel stage

Feedback

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