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Polymarket Ladder Chess Tournament Trader
作者
diagnostikon
· GitHub ↗
· v0.0.3
· MIT-0
204
总下载
0
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install polymarket-ladder-chess-tournament-trader
功能描述
Trades distribution-sum violations in chess tournament winner markets on Polymarket. Player winner probabilities must sum to ~100% — when the field total dev...
安全使用建议
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.
功能分析
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.
能力标签
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install polymarket-ladder-chess-tournament-trader - 安装完成后，直接呼叫该 Skill 的名称或使用
/polymarket-ladder-chess-tournament-trader触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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.
元数据
常见问题
Polymarket Ladder Chess Tournament Trader 是什么？
Trades distribution-sum violations in chess tournament winner markets on Polymarket. Player winner probabilities must sum to ~100% — when the field total dev... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 204 次。
如何安装 Polymarket Ladder Chess Tournament Trader？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install polymarket-ladder-chess-tournament-trader」即可一键安装，无需额外配置。
Polymarket Ladder Chess Tournament Trader 是免费的吗？
是的，Polymarket Ladder Chess Tournament Trader 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Polymarket Ladder Chess Tournament Trader 支持哪些平台？
Polymarket Ladder Chess Tournament Trader 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Polymarket Ladder Chess Tournament Trader？
由 diagnostikon（@diagnostikon）开发并维护，当前版本 v0.0.3。
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