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Install in OpenClaw
/install nm-tome-dig
Description
>- Interactively refine research results by searching deeper into a subtopic or specific channel. Loads the active session and merges new findings into it. U...
README (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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nm-tome-dig - After installation, invoke the skill by name or use
/nm-tome-dig - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Nm Tome Dig?
>- Interactively refine research results by searching deeper into a subtopic or specific channel. Loads the active session and merges new findings into it. U... It is an AI Agent Skill for Claude Code / OpenClaw, with 81 downloads so far.
How do I install Nm Tome Dig?
Run "/install nm-tome-dig" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nm Tome Dig free?
Yes, Nm Tome Dig is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nm Tome Dig support?
Nm Tome Dig is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nm Tome Dig?
It is built and maintained by athola (@athola); the current version is v1.0.0.
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