searxng-kg-ingestion

searxng-kg-ingestion is a skill for Claude Code, Codex from Knuckles-Team/searxng-mcp. It costs 126 tokens per session (962 once invoked), scanned A, original, MIT.

A procedure for saving SearXNG web-search results into an epistemic knowledge graph, a connected store of facts and sources.

In plain words
What is it for?
It is for building research collections, preserving monitoring snapshots, and later finding search results and their sources through semantic search.
Why use it?
It turns a one-time search into durable, searchable and citable research material instead of leaving the results only in the current session.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for building research collections, preserving monitoring snapshots, and later finding search results and their sources through semantic search.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/knuckles-team/searxng-mcp/searxng-kg-ingestion
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Knuckles-Team/searxng-mcp --skill searxng-kg-ingestion
Clone the repo
git clone --depth 1 https://github.com/Knuckles-Team/searxng-mcp

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for searxng-kg-ingestion

README.md
[![agentmods](https://agentmods.dev/badge/skills/knuckles-team/searxng-mcp/searxng-kg-ingestion/github.svg)](https://agentmods.dev/skills/knuckles-team/searxng-mcp/searxng-kg-ingestion)
Your own site
<a href="https://agentmods.dev/skills/knuckles-team/searxng-mcp/searxng-kg-ingestion"><img src="https://agentmods.dev/badge/skills/knuckles-team/searxng-mcp/searxng-kg-ingestion/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for searxng-kg-ingestion

Your own site · 80×15
<a href="https://agentmods.dev/skills/knuckles-team/searxng-mcp/searxng-kg-ingestion"><img src="https://agentmods.dev/badge/skills/knuckles-team/searxng-mcp/searxng-kg-ingestion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 962 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00126 $0.00962
Opus 5.5 $0.00050 $0.00385
Sonnet 5.5 $0.00025 $0.00192
Haiku 4.5 $0.00013 $0.00096

Measured 11d ago against content hash 82276f0880f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

searxng-kg-ingestion scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

searxng_mcp/skills/searxng-kg-ingestion/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SearXNG KG Ingestion

Native "maximum ingestion" of SearXNG results into the ONE epistemic-graph knowledge graph. Runs a metasearch and pushes each result as a shared :Document (carrying the result text + source_uri) alongside a :SearchQuery node and per-engine :SearchEngine nodes, wired with :resultOf / :fromEngine. This builds a recallable, citable corpus from the open web.

When to use

  • Build durable KG memory of what the web says about a topic (for later recall/citation).
  • Seed a research corpus that hub-side enrichment can chunk and embed for semantic search.
  • Capture a monitoring snapshot you want to query again later, not just read once.

When NOT to use

  • Throwaway lookups you don't need to persist → searxng-web-search.
  • Ingesting the full body of one known page → web-crawler / web-fetch.
  • Structured records from an enterprise system → that system's own ingest tool.

Prerequisites & environment

Connect via the mcp-client skill against the searxng-mcp MCP server. A reachable epistemic-graph engine is required for anything to land; with no engine the tool is a clean no-op (ingested: null). Same env matrix as searxng-web-search. Note: web_search never ingests; its results stay a virtual source. Use the explicit tool below when you want the ingest confirmation payload or ingest without a prior read.

Tools & actions

Tool Purpose
searxng_ingest_search Run a search AND push results to the KG; returns {listed, ingested}.
web_search Plain search; writes nothing to the graph.

Key parameters (searxng_ingest_search)

  • query — the search string (required); also becomes the :SearchQuery node.
  • categories / engines / language / pageno — same semantics as web_search.

Recipes

Search + ingest a topic:

{"query": "zero trust network access self-hosted", "categories": ["it"]}

Ingest news coverage for a monitoring corpus:

{"query": "cilium 1.16 release notes", "categories": ["news"]}

Read the full file on GitHub · 76 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago Changed 82276f0880f4
  2. 1mo ago First seen · 76 lines · 126 tokens per session scan A 6c1c6bb94fa5

Subscribe to this mod's changes

searxng-kg-ingestion is a skill published in the GitHub repository Knuckles-Team/searxng-mcp (3 stars, last pushed today), licensed MIT. It adds 126 tokens to every session and 962 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

jellyfin-kg-ingestion

Natively ingest a Jellyfin library into the epistemic-graph knowledge graph via the jellyfin-mcp MCP server — push library items as typed :MediaAsset/:Book nodes with :hasGenre/:performedBy/:authoredBy links and item overviews as searchable :Document nodes (jellyfiningestlibrary), and item posters as content-addressed…

Knuckles-Team/jellyfin-mcp · 158 tokens

archivebox-kg-ingestion

Natively ingest an ArchiveBox archive into the epistemic-graph knowledge graph via the archivebox-api MCP server — push snapshots as typed :Snapshot nodes (with :Tag + :hasTag links and per-snapshot :Document page-text) and archive results as :ArchiveResult nodes, best-effort, with the Wire-First ingest tools. Use…

Knuckles-Team/archivebox-api · 141 tokens

nextcloud-ingest

Natively ingest Nextcloud files into the epistemic-graph knowledge graph via the nextcloud-agent MCP server — fetch a file over WebDAV and store its raw bytes as a content-addressed :Blob/:AssetOccurrence plus its extracted text (pdf/office/txt or image OCR) as a linked :Document. Use when the agent must make a…

Knuckles-Team/nextcloud-agent · 122 tokens

audio-transcriber-knowledge-graph

Native knowledge-graph ingestion of Whisper transcripts on the audio-transcriber MCP server — transcribe an audio/video file and push it into the epistemic-graph in one call: the raw audio as a shared :MediaAsset blob, the transcript text as a :Document, and each Whisper segment as a :TranscriptSegment node linked…

Knuckles-Team/audio-transcriber · 121 tokens

documentdb-document-crud

Document create/read/update/delete operations on a DocumentDB (MongoDB-compatible, PostgreSQL-backed) collection via the documentdb-mcp MCP server — insert one/many, find with filter/sort/skip/limit, update/replace one/many, delete, count, and the atomic find-and-modify variants. Use when the agent must read or mutate…

Knuckles-Team/documentdb-mcp · 126 tokens

nextcloud-files

Browse and manage Nextcloud files and folders over WebDAV via the nextcloud-agent MCP server — list a directory, read/download a file, upload, create/delete/move/copy, and read properties. Use when the agent must navigate a Nextcloud file tree, fetch a document's bytes, or reorganize storage. Do NOT use for sharing…

Knuckles-Team/nextcloud-agent · 98 tokens