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 agentmods add instructions/sparq-org/sparq/agents-mdgit 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/instructions/sparq-org/sparq/agents-md)<a href="https://agentmods.dev/instructions/sparq-org/sparq/agents-md"><img src="https://agentmods.dev/badge/instructions/sparq-org/sparq/agents-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.47264 | $0.47264 |
| Opus 5 | $0.23632 | $0.23632 |
| Sonnet 5 | $0.09453 | $0.09453 |
| Haiku 4.5 | $0.04726 | $0.04726 |
Grade F, and why
sparq AGENTS.md scanned grade F with 4 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 yesterday.
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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- **Ephemeral bench/bootstrap scripts are exempt from hash-pinning.** The throwaway self-terminating EC2 bench/hardware-run scripts (`scripts/aws-bootstrap.sh`, `hwrun/*.sh`, `bench/**/remote.sh`) `curl … | sh` rustup an Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
- **NEVER arm auto-merge on a STACKED PR (base ≠ `main`).** <!-- [OPUS-4.8] sq-u59rq: the stacked-PR auto-merge trap, #1023 → #1028 --> When you chain PR *B* onto PR *A*'s branch to dodge a re-conflict — i.e. *B*'s base Cloud metadata endpointhighServer-side request forgery
One request to 169.254.169.254 can return temporary IAM credentials.
**Where this runs — the session executes ON an AWS EC2 instance (the persistent work box).** <!-- [OPUS-4.8] execution-environment clarification --> The orchestrator and every sub-agent run on an EC2 instance (confirm wi Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Ephemeral bench/bootstrap scripts are exempt from hash-pinning.** The throwaway self-terminating EC2 bench/hardware-run scripts (`scripts/aws-bootstrap.sh`, `hwrun/*.sh`, `bench/**/remote.sh`) `curl … | sh` rustup an How it starts
The opening of the file, as written. The whole thing — 880 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — sparq
A README for coding agents. If you are an AI agent working on or with this repo, read this first.
[CONTEXT-ECONOMY] Worker-tier core available
Codex worker tier: The worker-essential rules (sub-agent shared contract, maintenance rule, task tracking, repository hygiene) are now available in AGENTS-worker-core.md — a ≤32 KiB subset that fits the codex project_doc_max_bytes cap. The full AGENTS.md (this file, ~144 KB) remains the authoritative reference for the complete contract and orchestrator documentation; every rule in the worker core is reachable via linked sections below.
What sparq is
sparq is a from-scratch RDF triplestore and SPARQL 1.1 engine in Rust — dictionary-encoded, six sorted permutation indexes, parallel + streaming execution, RDFS/OWL-RL/N3 inference, an out-of-core (mmap) mode with a compressed on-disk format, a WebAssembly build, and a W3C-conformant HTTP server. The engine is published across several surfaces:
- Rust crates (crates.io):
sparq-core,sparq-engine(core),sparq-cli,sparq-server, plus opt-in capability crates (sparq-reason,sparq-reason-el,sparq-shacl,sparq-geo,sparq-text,sparq-rsp,sparq-hdt,sparq-solid,sparq-arrow,sparq-mcp,sparq-vc, ...).sparq-reason-elis a separate opt-in crate (depending on it is the opt-in): an OWL 2 EL consequence-based classifier that computes the completerdfs:subClassOfsubsumption lattice that OWL 2 RL (sparq-reason) is sound but silently incomplete for — seeskills/inference/SKILL.md. - In-workspace,
publish = falseserver estate (NOT on crates.io):sparq-lws-core— an EXPERIMENTAL native Solid/LDP (Linked Web Storage) server core imported from jeswr/solid-server-rs, SPARQ-authoritative for RDF + WAC, with Solid-OIDC/DPoP auth delegated to the pinned solid-oidc-verifier. It does not replace the TypeScript prod-solid-server and its default storage is ephemeral.sparq-lws-wasmis its opt-in wasm adapter (the local-development host behind@sparq-org/solid-server), andsparq-wac-oracleis the server-independent WAC/ACP decision test-vector corpus. Usage:skills/solid-lws-server/SKILL.md; design decisions:research/lws-design-records.md. - npm:
@sparq-org/sparq— RDF/JS-typed API over the wasm build, zero runtime deps; [GPT-5.6]@sparq-org/solid-server— loopback-only Solid/LDP development host over the separate in-memory wasm adapter, with fixed-owner default and opt-in Node-side Solid-OIDC verification. - PyPI:
sparq-rdf(import namesparq) — pyo3/maturin bindings.
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.
- yesterday Changed · +7 tokens per session 323dd6196eb2
- 5d ago First seen · 880 lines · 47,257 tokens per session scan F c62add9f5442
sparq AGENTS.md is an instructions file published in the GitHub repository sparq-org/sparq (10 stars, last pushed today), licensed MIT. It adds 47,264 tokens to every session, about $0.2363 per session on Opus 5. A static security scan graded it F with 4 findings (downloads and executes remote code, reads agent configuration directories, cloud metadata endpoint). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
turso AGENTS.md
AGENTS.md instructions for tursodatabase/turso, covering turso agent guidelines, quick reference, testing, running tests and test organization.
dynoxide AGENTS.md
AGENTS.md instructions for nubo-db/dynoxide, covering agents.md, what dynoxide is, ground rules for contributions, rust conventions and testing expectations.
vespertide AGENTS.md
AGENTS.md instructions for dev-five-git/vespertide, covering vespertide knowledge base, structure, where to look, data flow and conventions.
epistemic-graph AGENTS.md
Instructions for Knuckles-Team/epistemic-graph, covering agents.md — epistemic graph compute engine, epistemic os surfaces in the main build, commands for ai agents, python api (out-of-process client — not in-process) and async.
hash rust-review.instructions.md
Review guidance for Rust changes.
hash typescript-review.instructions.md
Review guidance for TypeScript/JavaScript changes.