Borrowing it
Nothing to install: this file belongs to xsolla/xsolla-ai-kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/xsolla/xsolla-ai-kit/main/CLAUDE.mdgit clone --depth 1 https://github.com/xsolla/xsolla-ai-kitWrote 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/instructions/xsolla/xsolla-ai-kit/claude-md)<a href="https://agentmods.dev/instructions/xsolla/xsolla-ai-kit/claude-md"><img src="https://agentmods.dev/badge/instructions/xsolla/xsolla-ai-kit/claude-md.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 | $0.00746 | $0.00746 |
| Opus 5 | $0.00373 | $0.00373 |
| Sonnet 5 | $0.00149 | $0.00149 |
| Haiku 4.5 | $0.00075 | $0.00075 |
Grade A, and why
xsolla-ai-kit CLAUDE.md scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- No `curl` commands — skills describe intent, not raw HTTP This is a copy
100% identical to xsolla-ai-kit AGENTS.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
xsolla-ai-kit — Agent Context
This file is read automatically by most AI coding agents (Cursor, Codex CLI, GitHub Copilot, Windsurf, Amp, Devin, Jules, Aider, Roo Code, Augment). Claude Code users: CLAUDE.md is a copy of this file.
What this repo is
xsolla/xsolla-ai-kit is the Xsolla agent skills toolkit — a collection of SKILL.md files (agentskills.io format) that teach AI coding agents how to execute Xsolla-specific workflows end-to-end, without requiring the Xsolla CLI as a dependency.
Skills call Xsolla REST APIs directly. The CLI (xsolla/xsolla-cli) is an optional shortcut once it ships to production.
Skill inventory
| Skill | What it does |
|---|---|
shop-setup |
Orchestrator — coordinates the full zero-to-shop flow, chaining all domain skills |
merchant-setup |
Creates and configures an Xsolla account + get API key |
catalog-design |
Configures the catalog and the client flow: client catalog, purchase, order confirmation |
login-setup |
Integrates Xsolla Login / NewID authentication |
login-styling |
Applies a custom visual style / theme / brand to the Login UI (pairs with login-setup) |
headless-checkout-integration |
Payments via Headless Checkout |
webhooks-impl |
Generates webhook handler code for order/payment events |
production |
Sandbox → live: contract, flip flags, deploy, developer live-payment checklist |
How to invoke a skill
Skills are loaded automatically when you open this repo in your agent. To run a specific skill, ask your agent naturally:
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.
- 8d ago First seen · 83 lines · 746 tokens per session scan A 2856d8114241
xsolla-ai-kit CLAUDE.md is an instructions file published in the GitHub repository xsolla/xsolla-ai-kit (3 stars, last pushed 20d ago), licensed MIT. It adds 746 tokens to every session, about $0.0037 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to xsolla-ai-kit AGENTS.md, differing in 0 lines, and is treated as a copy.
Other instructions, from other repositories
vibetags com-example-service-OrderService.instructions.md
Instructions for PIsberg/vibetags, covering copilot instructions for orderservice, rules for method calculatetax, rules for method processpayment, rules for method validateorder and context & focus.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.