ClawHub

Nm Tome Synthesize

v1.0.0

>- Merge, deduplicate, rank, and format research findings from multiple channels into a coherent report. Use after research agents return their results

⭐ 0· 93·1 current·1 all-time
by@athola

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for athola/nm-tome-synthesize.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Nm Tome Synthesize" (athola/nm-tome-synthesize) from ClawHub.
Skill page: https://clawhub.ai/athola/nm-tome-synthesize
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install nm-tome-synthesize

ClawHub CLI

Package manager switcher

npx clawhub@latest install nm-tome-synthesize
Security Scan
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Benign
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OpenClawOpenClaw
Benign
high confidence
✓
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.
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🦞 Clawdis
latestvk97fkkq079qqegrk5pbqj2bmcd859hq9
93downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0
@athola
latest
Download

Night Market Skill — ported from claude-night-market/tome. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

Finding Synthesis

When To Use

  • After research agents return results from multiple channels
  • Producing a final ranked report from raw findings

When NOT To Use

  • No research session is active (run /tome:research first)
  • Refining a single channel (use /tome:dig instead)

Merge findings from all channels into a ranked report.

Workflow

  1. Merge: tome.synthesis.merger.merge_findings()
  2. Rank: tome.synthesis.ranker.rank_findings()
  3. Group: tome.synthesis.ranker.group_by_theme()
  4. Format: tome.output.report.format_report()

Output Formats

  • report: Full sectioned markdown
  • brief: Condensed 1-2 pages
  • transcript: Raw session log

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