streaming-rsp SKILL.md skillA

streaming-rsp 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/streaming-rsp@git:20261009.f0b870d

Pins git:20261009.f0b870d 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/streaming-rsp/SKILL.md
Versions recorded
6
Latest version
git:20261009.f0b870d, committed Oct 9, 2026
First version recorded
Jul 12, 2026
Size
22,163 bytes
Repository stars
13
License
MIT

Use when running continuous/standing SPARQL over a live RDF triple stream with the sparq engine — sliding/tumbling time windows (RANGE/STEP), count (ROWS) windows, opt-in textual T0/MAXDELAY clauses, opt-in gap-triggered session windows, opt-in closed-window scalar aggregates, RSTREAM/ISTREAM/DSTREAM output, RSP-QL surface syntax (REGISTER STREAM, FROM NAMED WINDOW ... ON ... RANGE/STEP), and multi-window joins (WINDOW <w1>{} JOIN WINDOW <w2>{}). Covers the sparq-rsp crate's ContinuousQuery /…

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-streaming-rsp

`sparq-rsp` runs **windowed continuous SPARQL** (RSP-QL-style RDF Stream Processing) over a stream of `(triple, timestamp)` elements, as a deterministic **synchronous library** — no async runtime, no wall clock, no service. You push timestamped triples; it closes windows on a watermark and fires your callback once per closed window with the SELECT / CONSTRUCT / ASK result. It is a fully isolated, opt-in crate: nothing but its own `sparq-rsp-wasm` bundle depends on it, and the core engine and the **lean** `sparq-wasm` bundle carry zero streaming code (streaming ships as a *separate*, lazy-loaded `sparq-rsp-wasm` bundle — see below). Time/count windows are the default surface; textual window origins and lateness tolerances require the default-off `window-origin` cargo feature, while gap-triggered session windows require `session_windows`.

## Quickstart

`Cargo.toml`:

```toml
[dependencies]
sparq-rsp = { path = "../sparq/crates/sparq-rsp" } # features: session_windows, window-aggregate, window-origin
oxrdf = { version = "0.3", features = ["rdf-12"] } # the term model (Term/NamedNode/Literal)
```

```rust
use oxrdf::{Literal, NamedNode, Term};
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add sparq-org/sparq/streaming-rsp@sha256:767811b75e066c72

The line at the top of this page pins the label git:20261009.f0b870d, 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_t4e76e7azdm7lfs6.svg)](https://markdownregistry.com/a/art_t4e76e7azdm7lfs6)

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.

versioncommittedcommitsizeaudit
git:20261009.f0b870d latest2026-10-09 f0b870d 22,163 BA view · diff
git:20260726.7f023392026-07-26 7f02339 22,240 BA view · diff
git:20260716.133adf92026-07-16 133adf9 20,614 BA view · diff
git:20260713.63e1a2c2026-07-13 63e1a2c 20,508 BA view · diff
git:20260713.06d14332026-07-13 06d1433 20,332 BA view · diff
git:20260712.23e9c012026-07-12 23e9c01 20,315 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 (22163 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_t4e76e7azdm7lfs6
GET https://markdownregistry.com/api/v1/resolve?ref=sparq-org/sparq/streaming-rsp
GET https://markdownregistry.com/api/v1/blob/767811b75e066c72b3a19b4c6f0fc0f4c52b92ce13914dbb93f105b2e295a217

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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