Skills infranodus

Name: infranodus
Author: infranodus

install

source · Clone the upstream repo

git clone https://github.com/infranodus/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/infranodus/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/infranodus-cli" ~/.claude/skills/infranodus-skills-infranodus && rm -rf "$T"

manifest: infranodus-cli/SKILL.md

source content

InfraNodus

Text network analysis and knowledge graph tools via the InfraNodus MCP server.

Setup & Auth

Option 1: API Key (recommended for headless/automated setups)

Set

INFRANODUS_API_KEY

via OpenClaw config or environment variable. The key is a Bearer token from your InfraNodus account.

OpenClaw config (

~/.openclaw/openclaw.json

{
  "skills": {
    "entries": {
      "infranodus": {
        "enabled": true,
        "apiKey": "YOUR_INFRANODUS_API_KEY"
      }
    }
  }
}

OpenClaw maps

apiKey

→

INFRANODUS_API_KEY

env var automatically.

Or set the env var directly:

export INFRANODUS_API_KEY=your_key_here

When an API key is available, add the server without OAuth:

mcporter config add infranodus \
  --url https://mcp.infranodus.com/ \
  --transport http \
  --header "accept=application/json, text/event-stream" \
  --header "Authorization=Bearer $INFRANODUS_API_KEY" \
  --scope home

Option 2: OAuth (interactive browser login)

# 1. Add the server with OAuth
mcporter config add infranodus \
  --url https://mcp.infranodus.com/ \
  --transport http \
  --auth oauth \
  --header "accept=application/json, text/event-stream" \
  --scope home

# 2. Authenticate (opens browser)
mcporter auth infranodus

To re-authenticate:

mcporter auth infranodus --reset

Preflight checks

```
mcporter list
```
— server must show as healthy
```
test -n "$INFRANODUS_API_KEY"
```
— or OAuth tokens must be cached
If auth fails: re-run
```
mcporter auth infranodus
```
or check your API key

Verify

mcporter list infranodus

Users need an InfraNodus account at https://infranodus.com.

Calling Tools

mcporter call infranodus.<tool_name> key=value
# or with JSON args:
mcporter call infranodus.<tool_name> --args '{"text": "...", "includeGraph": true}'

All analysis tools accept either

text

(plain text) or

url

(web page / YouTube video URL). Many also accept an existing InfraNodus graph via

graphName

Tool Catalog

Analysis & Knowledge Graph Tools

Tool	Purpose
`generate_knowledge_graph`	Full graph analysis: clusters, gaps, concepts, relations, diversity stats. Set `includeGraph: true` for full structure.
`create_knowledge_graph`	Same as above but saves the graph to InfraNodus. Requires `graphName` .
`analyze_text`	General text analysis with clusters, gaps, concepts, and statements. Focus on analysis results rather than graph structure.
`analyze_existing_graph_by_name`	Analyze an already-saved InfraNodus graph by name.
`generate_topical_clusters`	Compact extraction of main topical clusters only.
`generate_content_gaps`	Identify underdeveloped areas between topical clusters.
`generate_contextual_hint`	Structural summary for LLM context (useful for GraphRAG augmentation).

Ideation & Development Tools

Tool	Purpose
`generate_research_questions`	Generate research questions bridging content gaps. Use `useSeveralGaps: true` for diversity.
`generate_research_ideas`	Generate ideas to develop the text. Use `shouldTranscend: true` to connect to wider discourse.
`develop_text_tool`	Combined pipeline: content gap ideas + latent topic ideas + conceptual bridges. Use `transcendDiscourse: true` for outside-the-box thinking.
`develop_latent_topics`	Find underdeveloped topics and generate ideas to develop them. `requestMode: "transcend"` for wider context.
`develop_conceptual_bridges`	Find high-influence bridging concepts and generate ideas linking discourse to other contexts.
`optimize_text_structure`	Analyze bias/coherence and suggest improvements. `responseType: "transcend"` for broader perspective.

Memory Tools (Knowledge Graph Memory)

Tool Purpose

memory_add_relations

Save structured memories as knowledge graphs with

[[wikilink]]

entities. Use

modifyAnalyzedText: "extractEntitiesOnly"

for entity-focused graphs.

memory_get_relations

Retrieve memories by entity from a graph. Pass

memoryContextName

and optional

entity

(e.g.

[[god]]

Retrieval & Search Tools

Tool	Purpose
`retrieve_from_knowledge_base`	GraphRAG retrieval from a saved graph. Pass `graphName` , `prompt` , and optionally `includeGraphSummary: true` .
`list_graphs`	List graphs in user's account. Filter by `nameContains` , `type` , etc.
`search`	Search all graphs for statements containing a term. Returns graph IDs.
`fetch`	Fetch specific statements found by `search` using the returned `id` .

Text Comparison Tools

Tool Purpose

generate_difference_graph_from_text

Show what's missing in the first context that exists in the others. Pass

contexts

array of

{text}

{url}

, or

{graphName}

objects.

generate_overlap_from_texts

Find common topics across all provided contexts.

merged_graph_from_texts

Merge multiple sources into one graph for overview analysis.

SEO / GEO / LLMO Tools

Tool	Purpose
`analyze_google_search_results`	Graph of Google search results for queries. Use `includeSearchResults: true` for URLs.
`analyze_related_search_queries`	Analyze "people also search for" data with search volume. Set `importLanguage` and `importCountry` .
`search_queries_vs_search_results`	Find queries with high volume not covered by current results — content opportunities. Use `includeSearchQueries: true` for volume data.
`generate_seo_report`	Full SEO report combining all SEO tools. Use `contentToExtract: "header tags"` for header analysis. Timeout: 90s+

Key Patterns

Input flexibility: Most tools accept

text

url

(including YouTube), or reference an existing

graphName

Comparison tools use a

contexts

array:

[{text: "..."}, {url: "..."}, {graphName: "..."}]

Diversity stats in responses indicate text focus:

biased

→ too concentrated,

focused

→ somewhat concentrated,

diversified

→ balanced,

dispersed

→ too scattered.

Content gaps show under-connected topic clusters — opportunities for new ideas or content.

Conceptual gateways are high-influence bridging nodes linking different topic clusters.

For detailed response schemas and examples, see references/tool-examples.md.