inference SKILL.md skillA

inference from sparq-org/sparq is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

mdr add sparq-org/sparq/inference@git:20261103.39aa6c3

Pins git:20261103.39aa6c3 in mdr.lock. Pin the fingerprint instead.

Audit grade

A, 17 of 17 checks passed

Kind

SKILL.md skill

Repository

sparq-org/sparq

Path

skills/inference/SKILL.md

Versions recorded

33

Latest version

git:20261103.39aa6c3, committed Nov 3, 2026

First version recorded

Jul 28, 2026

Size

184,739 bytes

Repository stars

13

License

MIT

Use when you need RDFS, OWL 2 RL, or Notation3/EYE-rule entailment over a sparq RDF graph — materialize the deductive closure (forward-chaining), query the entailed triples, maintain the closure incrementally under inserts/deletes, get derivation proof-trees (why()), or check OWL inconsistency; backed by the sparq-reason crate. For the COMPLETE OWL 2 EL class-subsumption lattice (which RL is sound-but-incomplete for), use the separate opt-in sparq-reason-el classifier (CR1-CR5 saturation). For…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# sparq-inference

`sparq-reason` is sparq's **opt-in** reasoning crate: it forward-chains the deductive closure (RDFS, OWL 2 RL, or user-supplied Notation3 rules) over dictionary-encoded triples and **materializes** the entailed facts so querying stays exactly as fast as before. The core engine carries zero reasoning code/cost unless you depend on this crate. Reasoning works at the `[Id;3]` (RDFS/OWL) or `n3::Term` (N3) level; you wire the result back into a `sparq_core::Graph` to query it.

## Quickstart

Add the dep (native targets only — see Gotchas):

```toml
[dependencies]
sparq-core   = "0.1"
sparq-reason = "0.1"   # default features include `parallel`
```

Parse → materialize the RDFS closure in place → build a queryable graph (the canonical seam, exactly what the CLI does):

```rust
use sparq_core::Graph;
use sparq_reason::{materialize, Profile};

// 1. Parse to (Dict, triples) WITHOUT building indexes yet.
let (mut dict, mut triples) = Graph::parse_to_triples(turtle_text, "turtle")?;
let base = triples.len();

// 2. Expand `triples` in place with every entailed triple. Returns NEW triple count.
let added = materialize(Profile::Rdfs, &mut dict, &mut triples);
…

Read the whole file at its exact version.

How to install

mdr add sparq-org/sparq/inference@sha256:cc73e7d0d2756216

[![mdr](https://markdownregistry.com/badge/art_f34yvc4rvbpnw62m.svg)](https://markdownregistry.com/a/art_f34yvc4rvbpnw62m)

Versions

The registry has recorded 33 versions of this file, between Jul 28, 2026 and Nov 3, 2026, about one every 3 days.

Audit of the latest version

Source

API

GET https://markdownregistry.com/api/v1/artifacts/art_f34yvc4rvbpnw62m
GET https://markdownregistry.com/api/v1/resolve?ref=sparq-org/sparq/inference
GET https://markdownregistry.com/api/v1/blob/cc73e7d0d27562161448c871f60219c308dda74ad23f3d315fa5fff846ba9b1d

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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