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在 OpenClaw 中安装
/install nm-tome-dig
功能描述
>- Interactively refine research results by searching deeper into a subtopic or specific channel. Loads the active session and merges new findings into it. U...
使用说明 (SKILL.md)
Night Market Skill — ported from claude-night-market/tome. For the full experience with agents, hooks, and commands, install the Claude Code plugin.
Dig Deeper
When To Use
- Drilling into a subtopic after an initial research session
- Narrowing results to a specific channel (e.g. papers only)
When NOT To Use
- Starting a new research topic (use
/tome:researchfirst) - Synthesizing results (use
/tome:synthesize)
Refine an active research session interactively.
Workflow
- Load most recent session via SessionManager
- Parse the subtopic and optional channel filter
- Dispatch targeted search (single agent or all channels)
- Merge new findings into existing session
- Re-rank and update the saved report
- Present new findings to user
Error Cases
- No active session: "Start a session first with
/tome:research \"topic\"" - Specified channel not in original session: warn and suggest available channels
安全使用建议
This is an instruction-only helper meant to refine an existing research session: it will read and update the agent's active session (SessionManager) and invoke targeted searches across channels. It requests no credentials and installs nothing. Before enabling, confirm you are comfortable with a skill having access to your agent's research session data and any channel/search systems the agent uses. If you need specifics about where searches run or what storage is modified, ask the skill author or inspect the host plugin (claude-night-market/tome) for implementation details.
功能分析
Type: OpenClaw Skill
Name: nm-tome-dig
Version: 1.0.0
The skill bundle contains metadata and operational instructions for a research refinement tool called 'dig', part of the 'tome' plugin suite. The SKILL.md file outlines a standard workflow for loading research sessions, performing targeted searches, and merging findings without any evidence of malicious intent, data exfiltration, or prompt-injection attacks.
能力评估
Purpose & Capability
Name/description (interactive refinements of research sessions) match the instructions, which describe loading an active session, running a targeted search, merging results, and updating the report. Access to a session manager and channel filters is proportionate to the stated goal.
Instruction Scope
The SKILL.md is high-level but stays within scope: it directs the agent to load the most recent session, parse a subtopic/channel filter, run targeted searches, merge and re-rank findings, and present results. It does not instruct reading unrelated system files, environment variables, or sending data to external endpoints. The workflow is vague about where searches run (internal agents/channels), which is typical for a plugin that delegates to host services.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk and no external packages or downloads are invoked.
Credentials
The skill declares no required environment variables, credentials, or config paths. The actions it describes (reading and updating an in-agent session) align with that lack of external secrets.
Persistence & Privilege
The skill is not forced-always, does not request elevated persistence, and its described behavior (load/merge session data) is limited to the agent's research sessions rather than modifying other skills or global 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 nm-tome-dig - 安装完成后，直接呼叫该 Skill 的名称或使用
/nm-tome-dig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 "dig" skill (v1.8.2), ported from claude-night-market/tome.
- Allows interactive refinement of research results by exploring subtopics or narrowing to specific channels.
- Loads and updates the active research session with new findings.
- Triggers include: refinement, interactive, and drill-down.
- Provides workflow for deep-diving after a completed /tome:research session.
- Handles common errors such as missing sessions or unavailable channels.
元数据
常见问题
Nm Tome Dig 是什么？
>- Interactively refine research results by searching deeper into a subtopic or specific channel. Loads the active session and merges new findings into it. U... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 81 次。
如何安装 Nm Tome Dig？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install nm-tome-dig」即可一键安装，无需额外配置。
Nm Tome Dig 是免费的吗？
是的，Nm Tome Dig 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Nm Tome Dig 支持哪些平台？
Nm Tome Dig 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 Dig？
由 athola（@athola）开发并维护，当前版本 v1.0.0。
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