eleutherios
Epistemic analysis infrastructure - query knowledge graphs with suppression detection, coordination signatures, and multi-perspective clustering. Local-first, no cloud dependencies.
Why use this skill?
Analyze document collections for suppression patterns and coordination signatures using Eleutherios, a local-first knowledge graph tool for deep investigation.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/eleutherios-project/eleutherios-openclaw-skillWhat This Skill Does
Eleutherios serves as a sophisticated epistemic analysis engine designed to transform unstructured document collections into structured knowledge graphs. By utilizing advanced claim-level extraction, it enables users to perform deep dives into complex datasets that traditional keyword-based search engines fail to interpret. The skill is purpose-built to identify non-obvious patterns within your local data, focusing on three critical domains:
- Suppression Detection: It flags evidence of institutional marginalization, identifying instances where research, public figures, or topics face funding obstacles or structural silencing.
- Coordination Signatures: By analyzing timing, semantic similarity, and citation network structures, Eleutherios highlights potential organized messaging campaigns or coordinated information operations.
- Multi-Perspective Clustering: The skill organizes conflicting claims into viewpoint clusters, allowing for an unbiased synthesis of contested subject matter.
Installation
To utilize Eleutherios, you must ensure the backend infrastructure is running locally. Follow these steps:
- Ensure Docker is installed on your machine.
- Clone the official repository:
git clone https://github.com/Eleutherios-project/Eleutherios-docker.git. - Navigate to the directory and launch the stack:
docker-compose up -d. - Verify that the MCP server is operational via
curl http://localhost:8100/health. - Install the skill via the OpenClaw CLI:
clawhub install openclaw/skills/skills/eleutherios-project/eleutherios-openclaw-skill. - Import your target documents using the CLI import wizard or the web UI hosted at
http://localhost:8080.
Use Cases
Eleutherios is ideal for researchers, investigative journalists, and analysts working with high-trust or sensitive document archives. It is particularly effective for analyzing historical records to uncover forgotten narratives, vetting scientific consensus by mapping citation voids, and investigating how institutional power structures respond to controversial breakthroughs or dissenting theories.
Example Prompts
- "Can you perform a coordination signature analysis on the recent documents regarding fusion energy developments?"
- "Use Eleutherios to map the suppression patterns found in the collected history of 20th-century radio experiments."
- "Cluster the opposing viewpoints in my knowledge graph concerning the impact of soil quality on crop yields."
Tips & Limitations
- Local-Only: Because this tool relies on local document processing, ensure your machine has sufficient RAM for large graph embeddings.
- Data Quality: The depth of analysis is proportional to the document collection density. Ensure you are providing diverse, multi-source inputs to avoid clustering bias.
- Analytical Focus: This tool is an investigative aid; always manually verify the source citations surfaced by the tool against your original documents.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-eleutherios-project-eleutherios-openclaw-skill": {
"enabled": true,
"auto_update": true
}
}
}Tags
Flags: file-read, network-access
Related Skills
keyword-research
SEO Keyword Research Tool für high-value Keywords mit Search Intent Analysis, Difficulty Assessment und Content Opportunity Mapping.
Reflection Engine
Analyzes an AI agent's dream/knowledge graph to surface the top recurring themes from its inner life. Reads DreamInsight entities from a knowledge_graph.json and returns the most frequent conceptual patterns — giving your agent a window into what it's actually thinking about. Built and proven on Albion, an autonomous AI running 31,000+ dream cycles on a Raspberry Pi 5.
verify-before-done
Prevent premature completion claims, repeated same-pattern retries, and weak handoffs. Use this skill to improve verification, strategy switching, and blocked-task reporting without changing personality or tone.
evidence-gap-mapper
在报告、方案或演示稿中定位结论先行但证据不足的位置,并给出补证优先级。;use for evidence, gap-analysis, research workflows;do not use for 伪造数据支撑结论, 忽略高风险假设.
placed
Complete Placed career platform integration — resume builder, interview coach, job tracker, ATS checker, cover letter generator, LinkedIn optimizer, and salary tools. Use when the user wants to build or manage resumes, practice interviews, track job applications, optimize resumes for ATS, generate cover letters, research companies, or get salary insights via placed.exidian.tech.