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在 OpenClaw 中安装
/install smart-journal-monitor
功能描述
Use smart journal monitor for evidence insight workflows that need structured execution, explicit assumptions, and clear output boundaries.
安全使用建议
This skill is internally inconsistent: it advertises 'RSS+AI' monitoring but the shipped script only scores local JSON articles and makes no network or model calls. Before installing or using it: 1) ask the author to explain where RSS ingestion and AI processing are implemented (or provide the missing code/config); 2) review the script yourself (or have someone you trust do so) and confirm it matches your expectations; 3) if you plan to run it, test using the demo flag and sample JSON in a sandboxed environment and avoid supplying sensitive data in the --articles file; 4) consider asking for version-pinned dependencies and a clear CONFIG or README that documents real inputs/outputs. The mismatch may be benign (unfinished or placeholder skill) but do not assume it provides the advertised RSS/AI capabilities without further clarification.
功能分析
Type: OpenClaw Skill
Name: smart-journal-monitor
Version: 1.0.0
The skill bundle provides a simple Python script (scripts/main.py) for scoring and filtering research articles based on journal impact and keywords. The code is straightforward, contains no network or sensitive file system access, and lacks any signs of obfuscation or malicious intent. The instructions in SKILL.md are consistent with the stated purpose of providing a structured workflow for journal monitoring.
能力评估
Purpose & Capability
The name/description advertise 'RSS+AI' and "monitoring" of journals, but the only executable (scripts/main.py) performs a simple, local scoring of articles loaded from a provided JSON file or demo data. There is no RSS retrieval, no network or API calls, and no AI/model usage in the code. The SKILL.md also mentions a CONFIG block and packaged behavior not present in the script. The requested capabilities (RSS ingestion, AI analysis) are not implemented, so the declared purpose and actual capability are inconsistent.
Instruction Scope
SKILL.md instructs the agent to validate inputs and run the packaged script (python -m py_compile and python scripts/main.py --help), which matches the code's CLI. However, the documentation references additional artifacts (a CONFIG block, packaged RSS/AI workflows, and 'references/' guidance) that are not implemented or are only minimal. The instructions do not ask for unrelated system files or credentials, and the runtime behavior described (no external API calls) matches the code.
Install Mechanism
There is no install specification — this is instruction-only with a small included Python script. That is low-risk from an installation perspective; nothing is downloaded or installed by the skill itself.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The script operates on local JSON input passed via --articles, so no extra environment or secrets are requested — this is proportionate to the implemented functionality.
Persistence & Privilege
always is false and the skill does not request persistent presence or modify agent/system configuration. It only contains a CLI script intended for on-demand invocation.
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 smart-journal-monitor - 安装完成后，直接呼叫该 Skill 的名称或使用
/smart-journal-monitor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
v1.0.0
smart-journal-monitor 1.0.0 – Initial release
- Provides a structured evidence insight workflow for monitoring research journals using clear assumptions, explicit input validation, and reproducible output.
- Main execution via scripts/main.py with workflow guidance, usage examples, and audit-ready validation steps.
- Returns curated article lists with impact scores, relevance ranking, and concise summaries.
- Includes transparent error handling, security checklist, and documented fallback procedures for missing inputs or execution errors.
- No external dependencies or network access required; all processing and outputs remain local to the workspace.
元数据
常见问题
Smart Journal Monitor(RSS+AI) 是什么？
Use smart journal monitor for evidence insight workflows that need structured execution, explicit assumptions, and clear output boundaries. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 88 次。
如何安装 Smart Journal Monitor(RSS+AI)？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install smart-journal-monitor」即可一键安装，无需额外配置。
Smart Journal Monitor(RSS+AI) 是免费的吗？
是的，Smart Journal Monitor(RSS+AI) 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Smart Journal Monitor(RSS+AI) 支持哪些平台？
Smart Journal Monitor(RSS+AI) 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 Smart Journal Monitor(RSS+AI)？
由 AIpoch（@aipoch-ai）开发并维护，当前版本 v1.0.0。
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