federated-planning

federated-planning is a skill for Claude Code from sparq-org/sparq. It costs 318 tokens per session (11,621 once invoked), scanned A, original, MIT.

An optional planner for running one SPARQL query across several remote data sources. It uses source descriptions and statistics already collected by the caller to choose relevant sources, join order, and either bind or hash joins.

In plain words
What is it for?
Use it to select sources for SPARQL triple patterns and plan joins across multiple endpoints. It also supports a non-blocking streaming join with operator spill for intermediate data.
Why use it?
It avoids contacting endpoints while planning and keeps federation planning separate from the main query engine. This helps applications decide how to combine remote results before fetching them.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the sparq plugin — 55 skills, 20 agents, 2 hooks shipped together

Good fit Use it to select sources for SPARQL triple patterns and plan joins across multiple endpoints. It also supports a non-blocking streaming join with operator spill for intermediate data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sparq-org/sparq/federated-planning
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add sparq-org/sparq --skill federated-planning
Clone the repo
git clone --depth 1 https://github.com/sparq-org/sparq

Made for: Claude Code.

Or install sparq, the plugin that ships this one along with the rest of its 55 skills, 20 agents, 2 hooks.

Wrote 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.

agentmods badge for federated-planning

README.md
[![agentmods](https://agentmods.dev/badge/skills/sparq-org/sparq/federated-planning/github.svg)](https://agentmods.dev/skills/sparq-org/sparq/federated-planning)
Your own site
<a href="https://agentmods.dev/skills/sparq-org/sparq/federated-planning"><img src="https://agentmods.dev/badge/skills/sparq-org/sparq/federated-planning/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.

agentmods 80×15 button for federated-planning

Your own site · 80×15
<a href="https://agentmods.dev/skills/sparq-org/sparq/federated-planning"><img src="https://agentmods.dev/badge/skills/sparq-org/sparq/federated-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 318 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 11,621 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium analysis-evasion · line 1
    Suspicious Unicode normalization or mixed-script content
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00318 $0.11621
Opus 5 $0.00159 $0.05810
Sonnet 5 $0.00064 $0.02324
Haiku 4.5 $0.00032 $0.01162

Measured 10d ago against content hash 8079aa4b6cb4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

federated-planning 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.

skills/federated-planning/SKILL.md · 557 lines

How it starts

The opening of the file, as written. The whole thing — 557 lines — stays where its author put it; the contents beside it link to each section on GitHub.

sparq-fedplan — cost-based federated source selection + join planning

sparq-fedplan plans a federated SPARQL Basic Graph Pattern (BGP) across several remote endpoints from statistics already in hand — it never contacts the network. A caller fetches each source's descriptor once (the W3C VoID document a sparq-server serves at /.well-known/void, including the mined scs: characteristic sets), and the planner decides, deterministically:

  1. which sources can contribute to each triple pattern, and
  2. a join order + per-join bind-vs-hash algorithm over the selected sources.

It is the opt-in public surface for cost-based federation planning. Add it explicitly and enable the fedplan feature; it is not in sparq's default build (sparq-core/sparq-engine stay lean, the wasm artifact is unchanged unless you pull it in). There is no sparq-core/sparq-engine dependency — it plans over descriptors only.

Add the dependency

[dependencies]
sparq-fedplan = { path = "crates/sparq-fedplan", features = ["fedplan"] }
oxrdf = { version = "0.3", features = ["rdf-12"] }

The whole planner is behind the fedplan feature (off by default), so even a crate that depends on sparq-fedplan pays nothing for it unless the feature is enabled.

Build source descriptors

Either programmatically via the builder, or by parsing the served N-Triples document.

// `SourceDescriptorBuilder` is the (public, nameable) return type of `.builder(..)`; you only
// need to import it if you hold the builder in a `let` rather than chaining straight to `.build()`.
use sparq_fedplan::{SourceDescriptor, SourceDescriptorBuilder, SourceId, PredPartition, ClassPartition};

// Programmatic (VoID property/class partitions).
let src = SourceDescriptor::builder(SourceId::new("https://a.example/sparql"))
    .total_triples(10_000)
    .predicate(PredPartition { predicate: "http://xmlns.com/foaf/0.1/knows".into(),
        triples: 2000, distinct_subjects: 1000, distinct_objects: 1800 })
    .class(ClassPartition { class: "http://xmlns.com/foaf/0.1/Person".into(), entities: 1000 })
    .build();

// Or parse the served descriptor (the /.well-known/void N-Triples form, with scs: sets):
let parsed = SourceDescriptor::from_void_nt(SourceId::new("https://b.example/sparql"), nt)?;

Read the full file on GitHub · 557 lines

Changes

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.

  1. 10d ago First seen · 557 lines · 318 tokens per session scan A 8079aa4b6cb4

Subscribe to this mod's changes

federated-planning is a skill published in the GitHub repository sparq-org/sparq (12 stars, last pushed today), licensed MIT. It adds 318 tokens to every session and 11,621 once invoked, about $0.0016 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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