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.
npx skills add Knuckles-Team/searxng-mcp --skill searxng-kg-ingestiongit clone --depth 1 https://github.com/Knuckles-Team/searxng-mcpWrote 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.
[](https://agentmods.dev/skills/knuckles-team/searxng-mcp/searxng-kg-ingestion)<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.
<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>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00126 | $0.00984 |
| Opus 5 | $0.00063 | $0.00492 |
| Sonnet 5 | $0.00025 | $0.00197 |
| Haiku 4.5 | $0.00013 | $0.00098 |
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 12d 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.
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:
SEARXNG_KG_INGEST (default-on) already ingests on every web_search — 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; also ingests by default unless SEARXNG_KG_INGEST=false. |
Key parameters (searxng_ingest_search)
query— the search string (required); also becomes the:SearchQuerynode.categories/engines/language/pageno— same semantics asweb_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"]}
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.
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.
- 12d ago First seen · 76 lines · 126 tokens per session scan A 6c1c6bb94fa5
searxng-kg-ingestion is a skill published in the GitHub repository Knuckles-Team/searxng-mcp (2 stars, last pushed 15d ago), licensed MIT. It adds 126 tokens to every session and 984 once invoked, about $0.0006 per session on Opus 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.
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