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Nm Tome Synthesize

by athola · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
98
Downloads
0
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1
Active Installs
1
Versions
Install in OpenClaw
/install nm-tome-synthesize
Description
>- Merge, deduplicate, rank, and format research findings from multiple channels into a coherent report. Use after research agents return their results
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install nm-tome-synthesize
  3. After installation, invoke the skill by name or use /nm-tome-synthesize
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug nm-tome-synthesize
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Nm Tome Synthesize?

>- Merge, deduplicate, rank, and format research findings from multiple channels into a coherent report. Use after research agents return their results. It is an AI Agent Skill for Claude Code / OpenClaw, with 98 downloads so far.

How do I install Nm Tome Synthesize?

Run "/install nm-tome-synthesize" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Nm Tome Synthesize free?

Yes, Nm Tome Synthesize is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Nm Tome Synthesize support?

Nm Tome Synthesize is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Nm Tome Synthesize?

It is built and maintained by athola (@athola); the current version is v1.0.0.

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