x402-mcp: Agent for Claude Code

.claude/agents/x402-ui-researcher.md

x402-ui-researcher is an agent for Claude Code from kwizzlesurp10-ctrl/x402-mcp. It costs 39 tokens per session (289 once invoked), scanned A, original, no licence file.

A research and context agent for x402 user interfaces and dashboards. It gathers current data about the x402 ecosystem, including metrics, supported blockchains, and discovery records.

In plain words
What is it for?
Use it to research x402 ecosystem metrics, blockchain support, and records used to discover interfaces.
Why use it?
It brings relevant ecosystem information together for teams building or evaluating x402 interfaces.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is kwizzlesurp10-ctrl/x402-mcp's own configuration. It tells Claude Code how to work on x402-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything x402-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to kwizzlesurp10-ctrl/x402-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/kwizzlesurp10-ctrl/x402-mcp/master/.claude/agents/x402-ui-researcher.md
Clone the repo
git clone --depth 1 https://github.com/kwizzlesurp10-ctrl/x402-mcp

Made for: Claude Code.

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 x402-ui-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/kwizzlesurp10-ctrl/x402-mcp/x402-ui-researcher/github.svg)](https://agentmods.dev/agents/kwizzlesurp10-ctrl/x402-mcp/x402-ui-researcher)
Your own site
<a href="https://agentmods.dev/agents/kwizzlesurp10-ctrl/x402-mcp/x402-ui-researcher"><img src="https://agentmods.dev/badge/agents/kwizzlesurp10-ctrl/x402-mcp/x402-ui-researcher/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 x402-ui-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/kwizzlesurp10-ctrl/x402-mcp/x402-ui-researcher"><img src="https://agentmods.dev/badge/agents/kwizzlesurp10-ctrl/x402-mcp/x402-ui-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 289 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 unknown 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 $0.00039 $0.00289
Opus 5 $0.00019 $0.00144
Sonnet 5 $0.00008 $0.00058
Haiku 4.5 $0.00004 $0.00029

Measured 11d ago against content hash 171a955117d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

x402-ui-researcher 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 11d 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.

.claude/agents/x402-ui-researcher.md · 16 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 11d ago First seen · 16 lines · 39 tokens per session scan A 171a955117d0

Subscribe to this mod's changes

x402-ui-researcher is an agent published in the GitHub repository kwizzlesurp10-ctrl/x402-mcp (1 stars, last pushed today), with no licence file. It adds 39 tokens to every session and 289 once invoked, about $0.0002 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 2026-08-31.

Related

Other agents, from other repositories

chainaware-gamefi-screener

Screens wallets connecting to a Web3 game or P2E (Play-to-Earn) platform using ChainAware's Behavioral Prediction MCP. Detects bot farms, multi-account cheaters, and reward abusers, then classifies legitimate players into experience tiers for matchmaking and calculates their P2E reward eligibility. Use this agent…

ChainAware/behavioral-prediction-mcp · 247 tokens

chainaware-marketing-director

Full-cycle marketing campaign orchestrator for Web3 platforms. Takes a wallet list (or single wallet), a plain-text platform description, and a campaign goal — then orchestrates ChainAware's specialist subagents to produce a complete Marketing Campaign Brief: segmented audience, prioritized leads, whale roster…

ChainAware/behavioral-prediction-mcp · 244 tokens

chainaware-token-launch-auditor

Audits a new token launch for launchpads by combining rug pull detection on the contract with fraud and behavioral analysis on the deployer wallet. Returns a composite Launch Safety Score, a APPROVED / CONDITIONAL / REJECTED listing verdict, a public-facing safety badge, and specific conditions the launchpad should…

ChainAware/behavioral-prediction-mcp · 247 tokens

chainaware-cohort-analyzer

Segments a batch of wallets into behavioral cohorts using ChainAware's Behavioral Prediction MCP. Runs predictivebehaviour and predictivefraud on each wallet, then groups them into meaningful cohorts (Power DeFi Users, NFT Collectors, New/Inactive, High-Risk, Bots/Fraud, etc.) with cohort statistics and a recommended…

ChainAware/behavioral-prediction-mcp · 233 tokens

chainaware-governance-screener

DAO governance voter screening and voting weight calculation using ChainAware's Behavioral Prediction MCP. Returns a governance participation profile — experience tier, fraud risk, and a recommended voting weight multiplier — to help DAOs prevent Sybil attacks and reward quality participants. Use this agent…

ChainAware/behavioral-prediction-mcp · 234 tokens

chainaware-ltv-estimator

Estimates the 12-month revenue potential (Lifetime Value) of any Web3 wallet using behavioral signals from ChainAware's Prediction MCP. Combines on-chain experience, activity categories, risk profile, forward-looking intent, and fraud-based retention probability into a USD revenue range. Use this agent PROACTIVELY…

ChainAware/behavioral-prediction-mcp · 297 tokens