rdf-canon SKILL.md skillA

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

Install it, pinned
mdr add sparq-org/sparq/rdf-canon@git:20261014.012ebfd

Pins git:20261014.012ebfd 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/rdf-canon/SKILL.md
Versions recorded
9
Latest version
git:20261014.012ebfd, committed Oct 14, 2026
First version recorded
Jul 11, 2026
Size
20,709 bytes
Repository stars
13
License
MIT

Canonicalize an RDF dataset with RDFC-1.0 (the W3C RDF Dataset Canonicalization, the URDNA2015 successor) using the opt-in sparq-canon crate — turn a set of oxrdf quads (or one graph's triples) into a deterministic, blank-node-relabelled canonical N-Quads string, or get just the canonical blank-node issuer map. Use when you need to hash, sign, diff, deduplicate, or content-address an RDF dataset, or to test two graphs for RDF-isomorphism (identical canonical form). Native + wasm; does not…

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-canon — RDFC-1.0 dataset canonicalization

[RDFC-1.0](https://www.w3.org/TR/rdf-canon/) (the W3C **RDF Dataset
Canonicalization**, the URDNA2015 successor) computes a deterministic form of an
RDF dataset: blank nodes are relabelled to `c14n0`, `c14n1`, … and the quads are
emitted in a stable code-point order. Two datasets are **RDF-isomorphic iff their
canonical N-Quads serializations are byte-for-byte identical** — the basis for
dataset hashing, signing, diffing, deduplication, and content-addressing.

`sparq-canon` is the **opt-in public surface** for this. Add it explicitly; it is
**not** in sparq's default build (`sparq-core` stays lean, the wasm artifact is
unchanged unless you pull this in). The RDFC-1.0 algorithm itself is the
maintained zkp-ld [`rdf-canon`](https://crates.io/crates/rdf-canon) crate;
`sparq-canon` owns the single oxrdf-0.3 ↔ oxrdf-0.2 canonical-N-Quads bridge and
exposes a clean API over sparq's term model. `sparq-zk` depends on it.

## Add the dependency

```toml
[dependencies]
sparq-canon = { path = "crates/sparq-canon" }   # or your workspace path
oxrdf = { version = "0.3", features = ["rdf-12"] }
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add sparq-org/sparq/rdf-canon@sha256:3f1aea813b87ffb6

The line at the top of this page pins the label git:20261014.012ebfd, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_q2vanlyezzwk6vaa.svg)](https://markdownregistry.com/a/art_q2vanlyezzwk6vaa)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 9 versions of this file, between Jul 11, 2026 and Oct 14, 2026, about one every 12 days.

versioncommittedcommitsizeaudit
git:20261014.012ebfd latest2026-10-14 012ebfd 20,709 BA view · diff
git:20261009.21f63802026-10-09 21f6380 20,709 BA view · diff
git:20261009.f0b870d2026-10-09 f0b870d 19,232 BA view · diff
git:20261008.42f16cf2026-10-08 42f16cf 18,901 BA view · diff
git:20260903.1a63aa72026-09-03 1a63aa7 18,717 BA view · diff
git:20260802.5a0412b2026-08-02 5a0412b 18,709 BA view · diff
git:20260731.78dbef12026-07-31 78dbef1 18,761 BA view · diff
git:20260713.2eb29e92026-07-13 2eb29e9 14,706 BA view · diff
git:20260711.f17d0ca2026-07-11 f17d0ca 14,149 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (20709 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

sparq-org/sparq · 13 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_q2vanlyezzwk6vaa
GET https://markdownregistry.com/api/v1/resolve?ref=sparq-org/sparq/rdf-canon
GET https://markdownregistry.com/api/v1/blob/3f1aea813b87ffb6cbf4a831d4b1255b5a435f1063e0e1bb8d1064f54d490ae7

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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