graph-analytics SKILL.md skillA
graph-analytics 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/graph-analytics@v0.1.0Pins v0.1.0 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/graph-analytics/SKILL.md- Versions recorded
- 6
- Latest version
- v0.1.0, committed Oct 9, 2026
- First version recorded
- Jul 12, 2026
- Size
- 9,250 bytes
- Repository stars
- 13
- License
- MIT
Graph analytics over a sparq RDF graph with the opt-in sparq-algos crate: project the graph onto a directed NodeGraph and run PageRank, centrality, k-core decomposition, community detection, and feature-gated directed strongly connected components, acyclicity checks, or topological sorting — all read directly from sparq-core's permutation indexes, deterministic, no model, no network. Use when ranking entities, measuring node cohesion, finding communities, classifying directed cycles, or…
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-algos — graph analytics `sparq-algos` is an **opt-in** crate (vendor-parity, epic sq-3183) that runs classic graph algorithms over a `sparq_core::Graph`: **PageRank**, **degree centrality** (in / out / total), feature-gated exact **Brandes betweenness**, **harmonic closeness**, and **k-core decomposition**, **weakly-connected components**, and a deterministic **label-propagation** community heuristic, plus feature-gated directed **strongly connected components** and boolean **acyclicity checks** and **topological sorting**. It consumes only sparq-core's public read API (the borrowing triple-id iterator + dict lookups), holds no graph state of its own, and nothing in the workspace depends on it — the default engine build does not even compile it. These are **topology** algorithms: every triple `(s, p, o)` becomes one directed edge `s → o`, the predicate is **erased**, parallel edges are collapsed, and edges are unweighted. To analyse a single relation (e.g. only `foaf:knows`), filter the source graph first. There is no SPARQL-level integration — call the Rust API directly. ## Quickstart …
Read the whole file at its exact version.
How to install
mdr add sparq-org/sparq/graph-analytics@sha256:3ba22c8b5cc69067The line at the top of this page pins the label v0.1.0, 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.
[](https://markdownregistry.com/a/art_gt265zodowkfk2rt)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Jul 12, 2026 and Oct 9, 2026, about one every 18 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-10-09 | f0b870d | 9,250 B | A | view · diff |
| v0.1.0 | 2026-09-03 | 1a63aa7 | 9,268 B | A | view · diff |
| v0.1.0 | 2026-07-13 | 5f9c0ef | 9,264 B | A | view · diff |
| v0.1.0 | 2026-07-13 | 167fc18 | 8,998 B | A | view · diff |
| v0.1.0 | 2026-07-12 | eee2499 | 8,695 B | A | view · diff |
| v0.1.0 | 2026-07-12 | 64dda64 | 8,295 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9250 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
sparq-org/sparq · 13 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_gt265zodowkfk2rt GET https://markdownregistry.com/api/v1/resolve?ref=sparq-org/sparq/graph-analytics GET https://markdownregistry.com/api/v1/blob/3ba22c8b5cc69067e596c1aea099d829980ca091bf46f9c49c1904a3818c4a4e
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.