← Back to Skills Marketplace
88
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install nm-tome-research
Description
Multi-source research across code, discourse, and academic channels
Usage Guidance
This skill's workflow fits its description, but the SKILL.md assumes you have a Python runtime, a local 'tome' package providing many modules, and an 'Agent' dispatch tool — none of which are declared in the metadata. Before installing/using: (1) confirm your agent/runtime provides the 'tome' package and the Agent tool or add an explicit install step; (2) be aware the skill will write session files to your current working directory (docs/research/...), so run it in an appropriate or isolated workspace; (3) if you don't want automatic filesystem writes, request a dry-run or adjust the save path; (4) no credentials are requested by the skill, but lack of declared dependencies may cause silent failures — verify prerequisites first. I have medium confidence because the issues look like omissions/assumptions rather than clearly malicious intent; providing the runtime dependency list or an install spec would raise confidence to benign.
Capability Analysis
Type: OpenClaw Skill
Name: nm-tome-research
Version: 1.0.0
The skill is a research orchestrator designed to manage a multi-step workflow including domain classification, research planning, and parallel agent dispatching using the 'tome' library. The instructions in SKILL.md define a legitimate process for synthesizing findings from various sources (code, discourse, academic) and saving formatted reports to the local filesystem (docs/research/). No evidence of malicious intent, data exfiltration, or prompt injection was found in the provided files.
Capability Assessment
Purpose & Capability
The SKILL.md's workflow (domain classification, dispatching code/discourse/academic agents, synthesizing findings, saving reports) matches the declared purpose of multi-source research. However the instructions assume a local Python package named 'tome' (modules like tome.scripts.*, tome.session, tome.synthesis, tome.output) and an 'Agent' tool for dispatching parallel agents; those runtime dependencies are not declared in the skill metadata.
Instruction Scope
Instructions include executable Python snippets, create a SessionManager using Path.cwd(), and save reports to docs/research/{session.id}-{slug}.md. That requires filesystem write access and a Python runtime with the referenced modules. The SKILL.md does not instruct exfiltration or access unrelated credentials, but it does assume access to local project files and ability to persist session state.
Install Mechanism
This is instruction-only with no install spec and no code files, so there is no installer risk. However the lack of an install step means the SKILL.md's Python modules and tools must already exist in the runtime; the metadata does not document how to obtain them.
Credentials
The skill requests no environment variables or credentials, which is proportionate. That said, it implicitly needs filesystem access and a Python environment with the 'tome' package and an 'Agent' tool; these implicit requirements are not declared, which is an omission the user should be aware of.
Persistence & Privilege
always:false and no install hooks are present. The skill instructs saving session state to the local docs/research/ path (its own workspace), which is a reasonable behavior for a research orchestrator and does not request elevated platform privileges or attempt to modify other skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nm-tome-research - After installation, invoke the skill by name or use
/nm-tome-research - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Research skill orchestrates multi-source investigations with structured agent coordination and synthesis.
- Runs a session workflow: domain classification, research planning, parallel agent dispatch, synthesis, and reporting.
- Supports code, discourse, academic, and TRIZ channels; always uses code/discourse, conditionally adds others.
- Automates merging and ranking of findings across sources, then outputs a formatted report.
- Provides error handling: partial results persist, empty synthesis is reported clearly, and manual fallback advised if all agents fail.
- Saves all research states and results; output format customizable (full report, brief, or transcript).
- Users receive summaries and suggestions for next research steps.
Metadata
Frequently Asked Questions
What is Nm Tome Research?
Multi-source research across code, discourse, and academic channels. It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.
How do I install Nm Tome Research?
Run "/install nm-tome-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nm Tome Research free?
Yes, Nm Tome Research is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nm Tome Research support?
Nm Tome Research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nm Tome Research?
It is built and maintained by athola (@athola); the current version is v1.0.0.
More Skills