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Polymarket Ladder F1 Championship Trader
作者
diagnostikon
· GitHub ↗
· v0.0.3
· MIT-0
171
总下载
0
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install polymarket-ladder-f1-championship-trader
功能描述
Trades distribution-sum violations in F1 championship winner markets on Polymarket. Driver winner probabilities form a distribution that must sum to ~100% —...
安全使用建议
Before installing: (1) Fix the manifest mismatch — the top-level listing incorrectly omits required environment variables and install deps; treat that as a red flag until clarified. (2) This skill requires a SIMMER_API_KEY — only supply an API key with minimal necessary permissions (avoid keys that allow withdrawals or broad account control). (3) The skill can place real trades when run with --live; run in default paper/sim mode first to validate behavior. (4) The package depends on simmer-sdk via pip — review that library's provenance and source. (5) Inspect the code (trader.py) yourself or have it audited if you will attach real funds. If you are comfortable with those checks and trust the owner, the functionality itself is coherent with its purpose; otherwise do not provide live credentials or run with --live.
功能分析
Type: OpenClaw Skill
Name: polymarket-ladder-f1-championship-trader
Version: 0.0.3
The skill implements a legitimate trading strategy for Polymarket F1 championship markets based on probability distribution arbitrage. The code in `trader.py` correctly implements the logic described in `SKILL.md`, utilizing the `simmer-sdk` for market discovery and execution. It includes safety features such as a default paper-trading mode (`venue='sim'`), slippage checks, and configurable risk parameters in `clawhub.json`. No indicators of data exfiltration, malicious execution, or prompt injection were found.
能力标签
能力评估
Purpose & Capability
The skill's name and description describe a Polymarket F1 distribution-arbitrage trader; the code (trader.py) uses a SimmerClient and the clawhub.json declares a SIMMER_API_KEY and pip dependency on simmer-sdk — these are coherent with the stated purpose. However, the top-level registry listing incorrectly reported "Required env vars: none" and "No install spec" while the package actually requires SIMMER_API_KEY and lists simmer-sdk as a pip dependency. That metadata mismatch is an incoherence that should be resolved.
Instruction Scope
SKILL.md and trader.py instruct only to discover markets, compute distribution-sum violations, and place trades via simmer-sdk. The skill defaults to paper trading (venue="sim") and requires an explicit --live flag to place real trades. The instructions and code do not reference unrelated system files, unexpected endpoints, or arbitrary data exfiltration.
Install Mechanism
There is no external arbitrary-download installer; dependencies are declared as pip: simmer-sdk in clawhub.json (typical). But the top-level summary said "No install spec — instruction-only", which contradicts clawhub.json. Installing pip packages is moderate risk compared to no install; verify the provenance of simmer-sdk on PyPI and ensure you trust it.
Credentials
The code requires SIMMER_API_KEY (accessed via os.environ["SIMMER_API_KEY"]) and reads several SIMMER_* tunables (MAX_POSITION, MIN_TRADE, etc.), which are declared as tunables in clawhub.json. Requiring an API key for the trading SDK is expected. The inconsistency is that the registry metadata earlier reported no required env vars — this is misleading and should be corrected. Confirm the required key's scope and permissions before providing it.
Persistence & Privilege
The skill is not marked always:true and autostart is false. automaton.managed is true (entrypoint trader.py), which means the skill can be run by the platform when invoked but it does not force inclusion in all agent runs. The skill does not request modification of other skills or system-wide settings.
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-f1-championship-trader - 安装完成后，直接呼叫该 Skill 的名称或使用
/polymarket-ladder-f1-championship-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: exploits distribution-sum violations in F1 championship winner markets on Polymarket for structural arbitrage.
- Discovers and groups F1 championship driver markets, calculating if winner probabilities deviate significantly from a 100% total.
- Trades mispricings by buying NO on overpriced drivers (when sum > 105%) or YES on underpriced drivers (when sum < 95%).
- Features conviction-based sizing that scales trade size with the magnitude of the distribution violation.
- Fully configurable risk and filter parameters via Simmer UI; defaults to paper trading for safety.
- No external APIs needed beyond simmer-sdk; template includes remix/extension ideas for advanced users.
元数据
常见问题
Polymarket Ladder F1 Championship Trader 是什么？
Trades distribution-sum violations in F1 championship winner markets on Polymarket. Driver winner probabilities form a distribution that must sum to ~100% —... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 171 次。
如何安装 Polymarket Ladder F1 Championship Trader？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install polymarket-ladder-f1-championship-trader」即可一键安装，无需额外配置。
Polymarket Ladder F1 Championship Trader 是免费的吗？
是的，Polymarket Ladder F1 Championship Trader 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Polymarket Ladder F1 Championship Trader 支持哪些平台？
Polymarket Ladder F1 Championship 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 F1 Championship Trader？
由 diagnostikon（@diagnostikon）开发并维护，当前版本 v0.0.3。
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