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.
npx skills add sparq-org/sparq --skill federated-planninggit clone --depth 1 https://github.com/sparq-org/sparqWrote 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.
[](https://agentmods.dev/skills/sparq-org/sparq/federated-planning)<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.
<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>- NVIDIA SkillSpector warn
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 contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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.
| Model | Per session | Once 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 |
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.
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:
- which sources can contribute to each triple pattern, and
- 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)?;
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.
- 10d ago First seen · 557 lines · 318 tokens per session scan A 8079aa4b6cb4
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.
Other skills, from other repositories
create-pr
Creates a GitHub PR with a Linear-ticket-prefixed title and a decision-led, narrative description for prisma-next. Use when the user wants to create a pull request, open a PR, or submit changes for review.
schema-exploration
Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
supabase
Supabase / PostgREST Row-Level-Security playbook — pull the anon (or leaked servicerole) key out of the frontend JS, map tables from the auto-generated OpenAPI spec, test anonymous RLS READ disclosures (PII/secret leaks), and anonymous RLS WRITE abuse (insert/update/delete — e.g. forging…
nornicdb-cypher-queries
Pick fast, predictable Cypher query shapes in NornicDB — point lookups, batch retrieval, pagination, search, traversal, batched UNWIND/MERGE writes, cleanup, multi-tenant isolation. Use when writing or reviewing Cypher whose latency or throughput matters; maps user intent to the executor's hot-path query templates.
dsql
Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, foreign key…