polymarket-wallet-xray

polymarket-wallet-xray is a skill for Claude Code, Codex from SpartanLabsXyz/simmer-sdk. It costs 59 tokens per session (3,166 once invoked), scanned A, original, MIT.

An analysis tool for any public Polymarket wallet, examining its past trading patterns, entry quality, skill indicators, and possible bot activity. It uses Polymarket's public APIs and does not require authentication.

In plain words
What is it for?
Use it to study traders, check historical win rate and entry quality, detect possible bots, and investigate accumulation or hedging patterns.
Why use it?
It replaces manual review of a wallet's trading history with forensic metrics and pattern analysis. It describes past behaviour, not a guaranteed future trading signal.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to study traders, check historical win rate and entry quality, detect possible bots, and investigate accumulation or hedging patterns.

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Install with agentmods
npx agentmods add skills/spartanlabsxyz/simmer-sdk/polymarket-wallet-xray
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 SpartanLabsXyz/simmer-sdk --skill polymarket-wallet-xray
Clone the repo
git clone --depth 1 https://github.com/SpartanLabsXyz/simmer-sdk

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 polymarket-wallet-xray

README.md
[![agentmods](https://agentmods.dev/badge/skills/spartanlabsxyz/simmer-sdk/polymarket-wallet-xray/github.svg)](https://agentmods.dev/skills/spartanlabsxyz/simmer-sdk/polymarket-wallet-xray)
Your own site
<a href="https://agentmods.dev/skills/spartanlabsxyz/simmer-sdk/polymarket-wallet-xray"><img src="https://agentmods.dev/badge/skills/spartanlabsxyz/simmer-sdk/polymarket-wallet-xray/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 polymarket-wallet-xray

Your own site · 80×15
<a href="https://agentmods.dev/skills/spartanlabsxyz/simmer-sdk/polymarket-wallet-xray"><img src="https://agentmods.dev/badge/skills/spartanlabsxyz/simmer-sdk/polymarket-wallet-xray.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,166 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 2 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00059 $0.03166
Opus 5 $0.00030 $0.01583
Sonnet 5 $0.00012 $0.00633
Haiku 4.5 $0.00006 $0.00317

Measured 6d ago against content hash c081ad17aebd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

polymarket-wallet-xray scanned grade A with 2 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 6d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/status.py, wallet_xray.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

- Check that Polymarket's CLOB API is reachable: `curl https://clob.polymarket.com/trades`

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

result = subprocess.run(
skills/polymarket-wallet-xray/SKILL.md · 334 lines

How it starts

The opening of the file, as written. The whole thing — 334 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Polymarket Wallet X-Ray

Analyze any Polymarket wallet's trading patterns, skill level, and edge detection.

No authentication needed. Queries Polymarket's public CLOB API directly.

Inspired by: The Autopsy: How to Read the Mind of a Polymarket Whale by @thejayden

🚨 Framework, not a production trading system. Read DISCLAIMER.md before connecting to a wallet with real funds.

This skill implements the forensic trading analysis framework developed by @thejayden. Read the original post to understand the philosophy behind Time Profitable, hedge checks, bot detection, and accumulation signals.

This is an analysis tool, not a trading signal. The skill returns forensic metrics for ANY Polymarket wallet — your agent uses them to UNDERSTAND traders, learn patterns, and make informed decisions. This is for education and research, not for blindly copying positions.

⚠️ Important Disclaimer

Past performance does not guarantee future results. A wallet's historical metrics tell you about:

  • ✅ How they traded in the past
  • ✅ Their historical win rate and entry quality
  • ❌ NOT whether their strategy will work going forward

Why copying is risky:

  • Market conditions change constantly
  • A trader's edge might have been luck, timing, or specific to historical events
  • Slippage and fees erode thin edges to zero
  • Other traders copying the same strategy destroy the edge

Use this skill to:

  • ✅ Learn what skilled traders look like (metrics, behavior)
  • ✅ Identify potential anomalies (bots, arbitrageurs)
  • ✅ Understand trader psychology (FOMO vs. discipline)
  • ✅ Inform your own strategy decisions

DO NOT use this skill to:

  • ❌ Automatically copytrade wallets
  • ❌ Expect to replicate their returns
  • ❌ Trade on these metrics without understanding why
  • ❌ Risk significant capital on patterns you don't understand

When to Use This Skill

Use this skill when you want to:

  • Learn how skilled traders operate — What metrics separate winners from losers?
  • Understand trading psychology — Who chases prices? Who has discipline?
  • Detect bots and anomalies — Identify suspicious patterns for research
  • Research arbitrage activity — Find wallets with hedged positions (educational)
  • Compare trader profiles — What does a consistent trader look like vs. a lucky one?
  • Inform your own strategy — Use patterns as input to YOUR decision-making, not as direct signals

Read the full file on GitHub · 334 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 6d ago Changed c081ad17aebd
  2. 12d ago First seen · 334 lines · 59 tokens per session scan A 55a0f8541f82

Subscribe to this mod's changes

polymarket-wallet-xray is a skill published in the GitHub repository SpartanLabsXyz/simmer-sdk (48 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 3,166 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.