← 返回 Skills 市场
Polymarket Music Entertainment Trader
作者
diagnostikon
· GitHub ↗
· v0.0.3
· MIT-0
395
总下载
0
收藏
0
当前安装
7
版本数
在 OpenClaw 中安装
/install polymarket-music-entertainment-trader
功能描述
Trades Polymarket prediction markets on music streaming milestones, album chart performance, Grammy nominations, concert tour revenues, and music industry de...
安全使用建议
This skill appears internally consistent, but review these practical points before installing:
- SIMMER_API_KEY: only provide this if you trust the Simmer service and understand what that key permits (paper trading vs live trading). Keep it secret.
- pip dependency: the skill depends on 'simmer-sdk' from PyPI — verify the package source/version if you have supply-chain concerns.
- Live mode: the code will only place real USDC trades when run with --live; do not run with --live until you've tested in paper mode and reviewed logs and risk settings (MAX_POSITION, MIN_TRADE, thresholds).
- Optional integrations: SKILL.md suggests adding Spotify/Billboard/Chartmetric data; those would require additional credentials if you implement them — be cautious about where you store those keys.
- Provenance: the skill's source/homepage is unknown; if you require stronger assurance, request the publisher to provide a source repo or audit of the simmer-sdk dependency and the trader.py logic.
功能分析
Type: OpenClaw Skill
Name: polymarket-music-entertainment-trader
Version: 0.0.3
The skill is a legitimate trading bot for Polymarket music and entertainment prediction markets. It uses the simmer-sdk to execute trades based on sentiment analysis and market data, with clear safety defaults (paper trading by default, live trading requires an explicit flag). No evidence of data exfiltration, malicious execution, or prompt injection was found in trader.py or SKILL.md.
能力标签
能力评估
Purpose & Capability
The name/description claim Polymarket trading for music markets and the package requests only SIMMER_API_KEY and a simmer-sdk pip dependency (declared in clawhub.json). The included trader.py implements market discovery, signal computation, and trade execution via a SimmerClient — all expected for this purpose.
Instruction Scope
SKILL.md and trader.py confine activity to market discovery, signal computation, and interaction with the Simmer/Polymarket venue. The skill defaults to paper trading and requires an explicit --live flag to execute real trades. The docs mention optional data sources (Spotify, Billboard, Chartmetric) but do not attempt to access unrelated local files or request other credentials.
Install Mechanism
There is no arbitrary download/install URL; clawhub.json declares a pip dependency on 'simmer-sdk'. Installing a single PyPI package is a normal, low-to-moderate risk pattern and matches the code's import. No archived downloads, URL shorteners, or nonstandard install locations are present.
Credentials
Only SIMMER_API_KEY is required as a credential and the other SIMMER_* variables are tunables (non-secret configuration). These are proportionate to a trading skill that uses a Simmer API client. The code only reads those environment vars and does not request unrelated secrets.
Persistence & Privilege
The skill is not force-installed (always:false), cron is null and autostart is false in clawhub.json, and model invocation is allowed (the platform default). The automaton entrypoint is trader.py which is appropriate; the skill does not alter other skills' configs or request elevated system persistence.
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-music-entertainment-trader - 安装完成后，直接呼叫该 Skill 的名称或使用
/polymarket-music-entertainment-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
v1.0.4
Wider thresholds, lower filters, add get_fast_markets + bulk scan, backward-compatible
v1.0.3
Republish to refresh registry metadata
v1.0.2
Fix apply_skill_config AttributeError for new Simmer SDK compatibility
v1.0.1
- Adds conviction-based position sizing logic with a new `sentiment_bias()` function, adjusting trades based on artist and market type (e.g., megastars, genres, awards).
- Enables systematic trade size scaling: combines conviction and sentiment bias for more nuanced sizing, with a new minimum trade floor.
- Updates tracked keyword list and market category logic for broader coverage (includes labels, certification, and more genres).
- Introduces tunable thresholds for YES/NO buy/sell, minimum trade size, and adjusts environment variable names for clarity.
- Documentation updated throughout to reflect new bias logic, risk parameters, and to clarify examples/remix options.
v1.0.0
Initial release of Music & Entertainment Trader.
- Trade Polymarket music & entertainment prediction markets using data-driven signals.
- Integrates Spotify streaming charts for momentum analysis and market mispricing detection.
- Risk controls and configurable trade limits; defaults to safe paper trading mode.
- Expandable with Billboard, TikTok, social metrics, and ticket sales for custom alpha strategies.
- Designed for easy installation, scheduled operation, and safe credential handling.
元数据
常见问题
Polymarket Music Entertainment Trader 是什么？
Trades Polymarket prediction markets on music streaming milestones, album chart performance, Grammy nominations, concert tour revenues, and music industry de... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 395 次。
如何安装 Polymarket Music Entertainment Trader？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install polymarket-music-entertainment-trader」即可一键安装，无需额外配置。
Polymarket Music Entertainment Trader 是免费的吗？
是的，Polymarket Music Entertainment Trader 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Polymarket Music Entertainment Trader 支持哪些平台？
Polymarket Music Entertainment 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 Music Entertainment Trader？
由 diagnostikon（@diagnostikon）开发并维护，当前版本 v0.0.3。
推荐 Skills