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在 OpenClaw 中安装
/install nm-tome-synthesize
功能描述
>- Merge, deduplicate, rank, and format research findings from multiple channels into a coherent report. Use after research agents return their results
安全使用建议
This skill is coherent and low-risk in isolation: it merely instructs the agent to run internal 'tome' synthesis functions and requires no installs or credentials. Before using, ensure you understand which research agents/channels will feed data into this synthesis (it will merge whatever findings those agents produced), and avoid running it on sessions that may contain sensitive secrets you don't want aggregated. Also note the skill depends on the surrounding 'tome' research workflow—if that plugin or session data isn't present, the skill won't be able to do anything.
功能分析
Type: OpenClaw Skill
Name: nm-tome-synthesize
Version: 1.0.0
The skill bundle contains metadata and operational instructions for synthesizing research findings into reports. The SKILL.md file defines a standard workflow using internal functions (e.g., tome.synthesis.merger.merge_findings) and lacks any indicators of malicious intent, data exfiltration, or harmful prompt injection.
能力评估
Purpose & Capability
Name/description match the instructions: the SKILL.md describes merging, deduplicating, ranking, and formatting research findings and the runtime instructions call corresponding tome.synthesis and tome.output functions. There are no unrelated env vars, binaries, or external installs requested.
Instruction Scope
Instructions are narrowly scoped to invoking internal synthesis steps (merge_findings, rank_findings, group_by_theme, format_report). The skill does not ask to read files, access environment variables, or transmit data to unexpected endpoints. It does assume research session data from other 'tome' agents/plugins is available.
Install Mechanism
No install spec and no code files are present (instruction-only). Nothing will be written to disk or downloaded during installation.
Credentials
No environment variables, credentials, or config paths are required. The lack of requested secrets is proportionate to the documented functionality.
Persistence & Privilege
always is false and the skill is user-invocable. The skill does not request persistent system presence or modify other skills' configs.
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 nm-tome-synthesize - 安装完成后，直接呼叫该 Skill 的名称或使用
/nm-tome-synthesize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
- Initial release of the "synthesize" skill.
- Merges, deduplicates, ranks, and formats research findings from multiple channels into a coherent report.
- Designed for use after research agents have gathered findings; not for single-channel refinement.
- Supports multiple output formats: full report, brief, and raw transcript.
元数据
常见问题
Nm Tome Synthesize 是什么？
>- Merge, deduplicate, rank, and format research findings from multiple channels into a coherent report. Use after research agents return their results. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 98 次。
如何安装 Nm Tome Synthesize？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install nm-tome-synthesize」即可一键安装，无需额外配置。
Nm Tome Synthesize 是免费的吗？
是的，Nm Tome Synthesize 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Nm Tome Synthesize 支持哪些平台？
Nm Tome Synthesize 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 Nm Tome Synthesize？
由 athola（@athola）开发并维护，当前版本 v1.0.0。
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