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 zilliztech/zilliz-plugin --skill on-demand-clustergit clone --depth 1 https://github.com/zilliztech/zilliz-pluginWrote 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/zilliztech/zilliz-plugin/on-demand-cluster)<a href="https://agentmods.dev/skills/zilliztech/zilliz-plugin/on-demand-cluster"><img src="https://agentmods.dev/badge/skills/zilliztech/zilliz-plugin/on-demand-cluster/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/zilliztech/zilliz-plugin/on-demand-cluster"><img src="https://agentmods.dev/badge/skills/zilliztech/zilliz-plugin/on-demand-cluster.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00055 | $0.00943 |
| Opus 5 | $0.00028 | $0.00472 |
| Sonnet 5 | $0.00011 | $0.00189 |
| Haiku 4.5 | $0.00006 | $0.00094 |
Grade A, and why
on-demand-cluster 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 9d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prerequisites
- CLI installed and logged in (see setup skill).
- A Vector Lake instance in the target project/region (see cluster
skill --
cluster create-vectorlake).
Commands Reference
Create an On-Demand Cluster
create is hand-written and not generated from the JSON model. It calls
POST /v2/clusters/createOnDemandCluster and accepts:
zilliz on-demand-cluster create \
--project-id <project-id> \
--region-id <region-id> \
--cu-size <integer> # required, >= 8
--cluster-name <string> \ # required, max 64 chars, letters/digits/space/_/-/CJK
[--session-ttl <duration>] \ # auto-suspend TTL: 30m, 1h, 90s (min 60s, default 60s)
[--max-query-node-cu <n>] \
[--max-query-node-replicas <n>]
Session TTL controls how long an idle on-demand cluster stays running before
it is automatically suspended. Format is <number><s|m|h>, with a floor of
60 seconds. Resuming a suspended on-demand cluster happens transparently on
the next query.
Examples:
# Create an 8-CU on-demand cluster with the default 60s idle TTL
zilliz on-demand-cluster create \
--project-id proj-xxxx \
--region-id aws-us-east-1 \
--cu-size 8 \
--cluster-name "qc-prod-1"
# Keep alive 30 minutes between queries, cap query node CU and replicas
zilliz on-demand-cluster create \
--project-id proj-xxxx \
--region-id aws-us-east-1 \
--cu-size 16 \
--cluster-name "qc-batch-1" \
--session-ttl 30m \
--max-query-node-cu 16 \
--max-query-node-replicas 4
List On Demand Clusters
zilliz on-demand-cluster list --project-id <project-id> --region-id <cloud-region>
Describe an On Demand Cluster
zilliz on-demand-cluster describe --cluster-id <on-demand-cluster-id>
Delete an On Demand Cluster
zilliz on-demand-cluster delete --cluster-id <on-demand-cluster-id-to-delete>
Guidance
- On-demand clusters belong to a Vector Lake instance and only exist inside a
<projectId>+<regionId>pair. If neitherlistnordescribereturns anything, first confirm that the project has a Vector Lake (zilliz cluster create-vectorlake). listrequires both--project-idand--region-id-- there is no all-projects listing.- Status flows through
CREATING->RUNNING->SUSPENDING->SUSPENDEDand back toRESUMING->RUNNINGon the next query. TreatSUSPENDING/SUSPENDEDas healthy idle state, not an error. --session-ttlis the idle auto-suspend timer. The minimum is60s; values smaller than that are rejected client-side before the API call. The current default is60s, so on-demand clusters are aggressive about suspending -- raise it (e.g.30m) when running interactive workloads.--cu-sizemust be >= 8 and--cluster-nameis at most 64 characters, allowing letters, digits, space,_,-, and Chinese characters.deleteis irreversible and asynchronous -- always confirm with the user before invoking. The cluster row moves toDELETINGand disappears once cleanup finishes.- These commands are distinct from the regular
clusterskill: a regular cluster owns its own compute, while on-demand clusters share storage with their parent Vector Lake. Do not confusezilliz on-demand-cluster deletewithzilliz cluster delete.
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.
- 9d ago First seen · 83 lines · 55 tokens per session scan A 2e725d4a49a9
on-demand-cluster is a skill published in the GitHub repository zilliztech/zilliz-plugin (3 stars, last pushed yesterday), licensed Apache-2.0. It adds 55 tokens to every session and 943 once invoked, about $0.0003 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 2026-08-30.
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