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diagnostikon

Polymarket Ladder Chess Tournament Trader

by diagnostikon · GitHub ↗ · v0.0.3 · MIT-0
cross-platform ✓ Security Clean
204
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install polymarket-ladder-chess-tournament-trader
Description
Trades distribution-sum violations in chess tournament winner markets on Polymarket. Player winner probabilities must sum to ~100% — when the field total dev...
Usage Guidance
This skill appears to do what it says: scan Polymarket chess-winner markets, detect distribution-sum arbitrage, and trade via Simmer. Before installing: 1) Treat SIMMER_API_KEY as sensitive — only provide it if you trust the Simmer runtime and the simmer-sdk package source. 2) Prefer running in paper mode first (no --live) to verify behavior. 3) Note metadata mismatches (version and a missing required-env note in the registry summary) — ask the publisher to clarify if you need exact provenance. 4) Audit or vet the simmer-sdk package (pip source) and ensure you understand the live flag behavior so the skill cannot make real USDC trades unexpectedly.
Capability Analysis
Type: OpenClaw Skill Name: polymarket-ladder-chess-tournament-trader Version: 0.0.3 The skill is a functional trading bot designed to perform distribution-sum arbitrage on Polymarket chess tournament markets. The logic in `trader.py` correctly implements the strategy described in `SKILL.md`, including safety features like a default paper-trading mode (sim) and risk parameters (tunables) defined in `clawhub.json`. There are no signs of data exfiltration, malicious execution, or prompt injection.
Capability Tags
cryptorequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The name/description match the code and SKILL.md: the skill discovers chess winner markets, computes distribution-sum violations, and paper- or live-trades via a Simmer SDK. The only mismatch is metadata: the registry summary at the top claimed no required env vars, but clawhub.json and SKILL.md require SIMMER_API_KEY. Version strings also differ across files (registry 0.0.3 vs clawhub.json 0.0.2 vs SKILL.md 1.0.0). These are metadata inconsistencies but do not change the functional purpose.
Instruction Scope
SKILL.md and trader.py limit operations to market discovery, grouping, signal computation, and trading via SimmerClient. The skill defaults to paper trading and only performs live trades with an explicit --live flag. There are no instructions to read arbitrary unrelated system files or exfiltrate data to unknown endpoints.
Install Mechanism
No install script is bundled; clawhub.json declares a pip dependency on 'simmer-sdk', which is appropriate given the code uses SimmerClient. No downloads from arbitrary URLs or archive extraction were found.
Credentials
The skill requires a single high-value credential, SIMMER_API_KEY, which is necessary for trading via the Simmer SDK and is explicitly documented in SKILL.md. The trader also reads tunable environment variables (SIMMER_MAX_POSITION, etc.) which are declared in clawhub.json. The earlier top-level summary incorrectly listed 'Required env vars: none', which is inconsistent with the manifest and SKILL.md.
Persistence & Privilege
always:false and autostart:false; automaton/entrypoint is set to trader.py which is expected for a managed trading skill. The skill attempts to call apply_skill_config on the client (wrapped in a safe try/except) which is consistent with applying its own configuration. No evidence it modifies other skills or requests permanent elevated platform privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install polymarket-ladder-chess-tournament-trader
  3. After installation, invoke the skill by name or use /polymarket-ladder-chess-tournament-trader
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.0.3
SDK resilience: try/except runt apply_skill_config
v0.0.2
fix: add _client.live=True so --live actually routes to polymarket-venue for real USDC trades
v1.0.1
Fix apply_skill_config AttributeError for new Simmer SDK compatibility
v1.0.0
Initial release of Ladder Chess Tournament Distribution Trader - Detects and trades distribution-sum violations in Polymarket chess tournament winner markets. - Groups markets by tournament, sums player win probabilities, and identifies systematic mispricings. - Executes trades when the sum of probabilities deviates beyond a configurable threshold. - Fully configurable with tunable risk parameters and operates in paper trading mode by default. - Includes extensible signal logic for advanced edge models (e.g., Elo integration, live analysis). - No trades run automatically until configured; requires API key for operation.
Metadata
Slug polymarket-ladder-chess-tournament-trader
Version 0.0.3
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is Polymarket Ladder Chess Tournament Trader?

Trades distribution-sum violations in chess tournament winner markets on Polymarket. Player winner probabilities must sum to ~100% — when the field total dev... It is an AI Agent Skill for Claude Code / OpenClaw, with 204 downloads so far.

How do I install Polymarket Ladder Chess Tournament Trader?

Run "/install polymarket-ladder-chess-tournament-trader" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Polymarket Ladder Chess Tournament Trader free?

Yes, Polymarket Ladder Chess Tournament Trader is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Polymarket Ladder Chess Tournament Trader support?

Polymarket Ladder Chess Tournament Trader is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Polymarket Ladder Chess Tournament Trader?

It is built and maintained by diagnostikon (@diagnostikon); the current version is v0.0.3.

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