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.
npx skills add fatihkan/badi --skill ecommercegit clone --depth 1 https://github.com/fatihkan/badiWrote 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.
[](https://agentmods.dev/skills/fatihkan/badi/ecommerce)<a href="https://agentmods.dev/skills/fatihkan/badi/ecommerce"><img src="https://agentmods.dev/badge/skills/fatihkan/badi/ecommerce.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00058 | $0.01765 |
| Opus 5 | $0.00029 | $0.00882 |
| Sonnet 5 | $0.00012 | $0.00353 |
| Haiku 4.5 | $0.00006 | $0.00177 |
Grade A, and why
ecommerce 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.
E-Commerce Skills
54 structured procedures
Skill List
product-catalog-management
The skill of building and managing the e-commerce product catalog. Delivers comprehensive catalog management with product data, categories, variants, and visuals.
pricing-management
The e-commerce pricing strategy and management skill. Optimizes revenue with dynamic pricing, discount rules, and campaign prices.
cart-optimization
The skill of raising shopping-cart conversion. Optimizes cart value and completion rate through cart design, abandonment reduction, and cross-sell strategies.
checkout-optimization
The skill of optimizing the e-commerce checkout flow. Raises completion with guest checkout, single-page checkout, and trust elements.
order-management
The order-lifecycle management skill. Manages order intake, processing, shipping, and returns.
inventory-management
The e-commerce stock and inventory management skill. Delivers inventory control with stock tracking, reordering, multi-warehouse management, and stock alerts.
shipping-integration
The carrier and logistics integration skill. Automates shipping with carrier API integration, label creation, and tracking-number sync.
returns-management
The product return and exchange process skill. Delivers effective returns through return policy, automation, and customer experience.
marketplace-integration
The marketplace integration skill. Provides product listing and order sync to Trendyol, Hepsiburada, Amazon, and other marketplaces.
ecommerce-seo
The e-commerce SEO optimization skill. Lifts organic search traffic with product-page, category, and technical SEO.
conversion-rate-optimization
The e-commerce CRO skill. Optimizes the sales conversion rate with behavior analysis, A/B tests, and UX improvements.
product-recommendation-engine
The skill of building the product recommendation engine. Raises cart value and conversion with personalized recommendations and cross-sell/upsell algorithms.
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.
- today First seen · 284 lines · 0 tokens per session scan A 20c609a2b36b
ecommerce is a skill published in the GitHub repository fatihkan/badi (7 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 1,765 once invoked, about $0.0003 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 2026-09-06.
Other skills, from other repositories
pr-triage
4-phase PR backlog management with audit, deep code review, validated comments, and optional worktree setup. Use when triaging pull requests, catching up on pending code reviews, or managing a backlog of open PRs. Args: 'all' to review all, PR numbers to focus (e.g. '42 57'), 'en'/'fr' for language, no arg = audit…
eval-agents
Audit Claude Code agents defined in .claude/agents/ for description specificity, model tier appropriateness, tools scoping, and system prompt quality. Detects dispatch ambiguity between agents, flags over-permissive tool grants, and checks for human-in-the-loop patterns that break programmatic orchestration. Use when…
issue-triage
3-phase issue backlog management with audit, deep analysis, and validated triage actions. Use when triaging GitHub issues, sorting bug reports, cleaning up stale tickets, or detecting duplicate issues. Args: 'all' to analyze all, issue numbers to focus (e.g. '42 57'), 'en'/'fr' for language, no arg = audit only.
check-cache-bugs
Audit Claude Code setup for cache bugs (CC#40524): sentinel, --resume/--continue, attribution header + ArkNill B3/B4/B5.
git-ai-archaeology
Analyze AI config evolution in a git repo. Use when mapping AI adoption history, finding when configs were first introduced, charting commit velocity by month, or identifying maturity phases in a project's AI tooling.
landing-page-generator
Generate complete, deploy-ready landing pages from any repository. Use when creating a homepage for an open-source project, building a project website, converting a README into a marketing page, or standardizing landing pages across multiple repos.