Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/sparq-org/sparqnpx agentmods add skills/sparq-org/sparq/geosparqlWrote 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/sparq-org/sparq/geosparql)<a href="https://agentmods.dev/skills/sparq-org/sparq/geosparql"><img src="https://agentmods.dev/badge/skills/sparq-org/sparq/geosparql/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/sparq-org/sparq/geosparql"><img src="https://agentmods.dev/badge/skills/sparq-org/sparq/geosparql.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00140 | $0.08844 |
| Opus 5 | $0.00070 | $0.04422 |
| Sonnet 5 | $0.00028 | $0.01769 |
| Haiku 4.5 | $0.00014 | $0.00884 |
Grade A, and why
geosparql 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 10d 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 — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sparq-geosparql
sparq-geo is the OPT-IN GeoSPARQL 1.0/1.1 core for the sparq engine: it parses geo:wktLiteral and geo:gmlLiteral (the GML Simple-Features geometry profile) lexical forms, evaluates the geof: spatial functions, packages those functions as a sparq_engine::FunctionRegistry so they run inside real SPARQL FILTER/BIND/SELECT, and builds an R-tree GeoIndex over a sparq_core::Graph for distance/nearest/intersection queries. It is a separate crate so the core engine and the wasm build carry zero geometry code — you engage spatial support only by depending on sparq-geo.
Quickstart
Cargo.toml:
[dependencies]
sparq-geo = { path = "../sparq-geo" } # default features include `engine`
sparq-core = { path = "../sparq-core" }
sparq-engine = { path = "../sparq-engine" }
geo-types = "0.7" # only if you use GeoIndex (Point<f64>)
Run geof: functions inside a SPARQL query:
use sparq_core::Graph;
use sparq_engine::query_with_functions;
use sparq_geo::geof_registry;
let g = Graph::load_str(r#"
@prefix geo: <http://www.opengis.net/ont/geosparql#> .
<http://ex/london> <http://ex/loc> "POINT(-0.1278 51.5074)"^^geo:wktLiteral .
<http://ex/paris> <http://ex/loc> "POINT(2.3522 48.8566)"^^geo:wktLiteral .
"#, "turtle").unwrap();
let reg = geof_registry(); // 45 functions; clone-cheap, Send + Sync
let r = query_with_functions(&g,
"PREFIX geof: <http://www.opengis.net/def/function/geosparql/>
PREFIX uom: <http://www.opengis.net/def/uom/OGC/1.0/>
SELECT ?a ?b WHERE {
?a <http://ex/loc> ?ga . ?b <http://ex/loc> ?gb .
FILTER(STR(?a) < STR(?b) && geof:distance(?ga, ?gb, uom:kilometre) < 400)
}", ®).unwrap();
assert_eq!(r.len(), 1); // London–Paris ≈ 343.6 km
POINT / WKT coordinates are longitude latitude (CRS84, the GeoSPARQL default). A leading <CRS-IRI> before the WKT selects a CRS; EPSG:4326 literals are LAT/LONG and are axis-swapped to internal long/lat on parse and back on output.
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.
- 10d ago First seen · 262 lines · 140 tokens per session scan A d0c3091a979a
geosparql is a skill published in the GitHub repository sparq-org/sparq (12 stars, last pushed today), licensed MIT. It adds 140 tokens to every session and 8,844 once invoked, about $0.0007 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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