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在 OpenClaw 中安装
/install prediction-trade-journal
功能描述
Auto-log trades with context, track outcomes, generate calibration reports to improve trading.
安全使用建议
This skill appears to do what it says: it needs your Simmer API key so it can fetch your trades and stores them locally under the skill folder (data/trades.json and data/context.json). Before installing: (1) confirm you trust simmer.markets and the simmer-sdk package; (2) be comfortable that the SIMMER_API_KEY grants read access to your trades; (3) note the code also accepts optional env vars (SIMMER_API_URL, SIMMER_JOURNAL_FETCH_LIMIT, SIMMER_JOURNAL_AUTO_SYNC) — review or set those if you need different behavior; (4) review the included Python files if you want to verify how errors and API responses are handled; and (5) consider storing the API key in a secure place and rotating it if you stop using the skill. If you need higher assurance, ask the author for a verified homepage or repository and verify the simmer-sdk package source.
功能分析
Type: OpenClaw Skill
Name: prediction-trade-journal
Version: 1.1.13
The prediction-trade-journal skill is a legitimate tool for tracking and analyzing trades from the Simmer platform. It fetches trade data from the official API (api.simmer.markets) using a user-provided API key and stores it locally in JSON format for reporting and analysis. The code in tradejournal.py and scripts/status.py is transparent, lacks obfuscation, and does not exhibit any signs of data exfiltration to unauthorized endpoints or malicious execution patterns.
能力标签
能力评估
Purpose & Capability
Name/description claim to sync trades, track outcomes, and report — the code implements API calls to https://api.simmer.markets, local storage under data/, CLI entrypoints, and a log_trade() helper for other skills. The declared pip dependency (simmer-sdk) and required API key are appropriate for this purpose.
Instruction Scope
SKILL.md instructs installing simmer-sdk, setting SIMMER_API_KEY, and running the provided CLI. The runtime instructions and the code operate only on the Simmer API and local files (data/trades.json, data/context.json). Note: the skill exposes a programmatic log_trade() function for other skills to call, which is expected for enrichment but means other installed skills could add context to your stored trades.
Install Mechanism
There is no arbitrary download/install step. The manifest lists a pip dependency (simmer-sdk), which is a standard package-install mechanism. No external URLs, archives, or non-standard installs are present.
Credentials
The skill requires a single API credential (SIMMER_API_KEY) which matches its function. However, the code also reads additional environment variables (SIMMER_API_URL, SIMMER_JOURNAL_FETCH_LIMIT, SIMMER_JOURNAL_AUTO_SYNC) not listed in SKILL.md or clawhub.json — this is a minor mismatch you should be aware of but not inherently malicious.
Persistence & Privilege
The skill stores data under its own directory (data/), does not request always:true, and does not modify other skills or global agent settings. It does perform local file writes (trades and context files), which is expected for a journal.
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 prediction-trade-journal - 安装完成后，直接呼叫该 Skill 的名称或使用
/prediction-trade-journal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
v1.1.13
Add Setup Flow section with pip install simmer-sdk
v1.1.12
- Updated metadata structure in SKILL.md and added new metadata fields.
- Changed SKILL.md formatting and moved version info to top-level fields.
- Added _meta.json file for improved metadata management.
- Removed obsolete clawhub.json file.
v1.1.11
AgentSkills format — moved platform config to clawhub.json for cross-agent compatibility
v1.1.10
- Added a "difficulty: beginner" field to SKILL.md for clearer guidance.
- No functional or command changes; documentation improvement only.
v1.1.9
Sync
v1.1.8
No changes detected in this version.
- Version number remains the same: 1.1.7
- No file or documentation updates
- No new features or bug fixes added
v1.1.7
- Added simmer-sdk as a required package in metadata for installation.
- Updated version number to 1.1.7 in the documentation.
v1.1.6
- Updated version number to 1.1.5 in documentation.
- No functional changes; SKILL.md file version metadata was incremented for consistency.
v1.1.5
- Updated documentation to remove the API URL configuration option and default; API key is now the only documented required environment variable.
- Bumped version from 1.1.3 to 1.1.4 in SKILL.md.
v1.1.4
- Updated version number from 1.1.2 to 1.1.3 in SKILL.md.
- No other functional or documentation changes.
v1.1.3
- Removed the local sample data file data/trades.json.
- No user-facing functionality or documentation changes.
v1.1.2
- Improved documentation with clear usage instructions, command reference, and integration examples.
- Detailed description of features: auto-logging trades, tracking outcomes, and generating calibration reports.
- Added explicit CLI command documentation and example JSON data structure.
- Provided troubleshooting tips for common setup issues.
- Listed environment variables and configuration requirements.
元数据
常见问题
Prediction Trade Journal 是什么？
Auto-log trades with context, track outcomes, generate calibration reports to improve trading. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1537 次。
如何安装 Prediction Trade Journal？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install prediction-trade-journal」即可一键安装，无需额外配置。
Prediction Trade Journal 是免费的吗？
是的，Prediction Trade Journal 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Prediction Trade Journal 支持哪些平台？
Prediction Trade Journal 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 Prediction Trade Journal？
由 AD88（@adlai88）开发并维护，当前版本 v1.1.13。
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