Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/sparq-org/sparqnpx agentmods add skills/sparq-org/sparq/helm-deployWrote 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/helm-deploy)<a href="https://agentmods.dev/skills/sparq-org/sparq/helm-deploy"><img src="https://agentmods.dev/badge/skills/sparq-org/sparq/helm-deploy.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00083 | $0.01342 |
| Opus 5 | $0.00042 | $0.00671 |
| Sonnet 5 | $0.00017 | $0.00268 |
| Haiku 4.5 | $0.00008 | $0.00134 |
Grade A, and why
helm-deploy scanned grade A with 1 finding 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 7d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://127.0.0.1:3030/health How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deploy sparq with Helm
[GPT-5.6] Verified against
deploy/helm/sparqon 2026-07-15. The chart targets Kubernetes 1.20 or later and does not build images. Thesparq-serverGHCR image is published; the LWS selector becomes runnable only after sq-lmz40 publishes its image.
Preserve the security boundary
Treat these as invariants:
- Keep
SPARQ_AUTH_TOKENin an existing KubernetesSecret. Never pass a token through Helm values or commit aSecretmanifest. - Keep the built-in Service as
ClusterIP. Use the optional ingress-nginx Ingress for public access; it requires a TLS Secret and forces HTTPS redirects. - Keep the chart's non-root, read-only-root-filesystem, dropped-capability, and disabled-service-account-token settings.
- Use
/healthon port 3030 forsparq-server; use/livezand/readyzon port 3000 forlws. - [GPT-5.6] Run exactly one replica of either server.
sparq-serverhas an unreplicated writable in-memory store. The planned canonical LWS image lacks its opt-in Redis replay backend, and Redis alone would not provide a shared blob store.
The sparq-server image is open by default at the image layer because it bakes
SPARQ_ALLOW_REMOTE=1. The chart refuses to render that server without an auth
Secret. Do not remove the token wiring. The token always gates writes; set
auth.requireTokenForReads=true to gate reads too.
Install sparq-server privately
Create the Secret before installing the chart:
kubectl create namespace sparq
kubectl create secret generic sparq-auth-token \
--namespace sparq \
--from-literal=SPARQ_AUTH_TOKEN="$(openssl rand -hex 32)"
helm upgrade --install sparq ./deploy/helm/sparq \
--namespace sparq \
--set auth.existingSecret=sparq-auth-token
This creates only a ClusterIP Service. Test it over a local port-forward:
kubectl port-forward --namespace sparq svc/sparq 3030:3030
curl http://127.0.0.1:3030/health
Expose sparq-server over HTTPS
Use the built-in Ingress only with ingress-nginx and a pre-provisioned or cert-manager-managed TLS Secret:
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.
- 7d ago First seen · 129 lines · 83 tokens per session scan A 1f0c7a1272b8
helm-deploy is a skill published in the GitHub repository sparq-org/sparq (10 stars, last pushed 2d ago), licensed MIT. It adds 83 tokens to every session and 1,342 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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