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 jobgit 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/job)<a href="https://agentmods.dev/skills/zilliztech/zilliz-plugin/job"><img src="https://agentmods.dev/badge/skills/zilliztech/zilliz-plugin/job.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 5.1 | $0.00044 | $0.00471 |
| Opus 5 | $0.00022 | $0.00235 |
| Sonnet 5 | $0.00009 | $0.00094 |
| Haiku 4.5 | $0.00004 | $0.00047 |
Grade A, and why
job 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 8d 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 — 58 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 job ID from a previous async operation (backup create, import start, etc.).
Commands Reference
Describe a Job
zilliz job describe --job-id <job-id>
Wait for Completion
The job describe command supports a --wait flag to poll until the job finishes:
# Poll until done (default: 5s interval, 30min timeout)
zilliz job describe --job-id <job-id> --wait
# Custom timeout and interval
zilliz job describe --job-id <job-id> --wait --timeout 600 --interval 10
Job Types
| Type | Triggered By |
|---|---|
| BACKUP | backup create |
| RESTORE | backup restore-cluster, backup restore-collection |
| IMPORT | import start |
| MIGRATION | Cloud migration operations |
| CLONE_COLLECTION | Collection clone operations |
Job Statuses
| Status | Meaning |
|---|---|
| PENDING | Job is queued |
| IN_PROGRESS | Job is running |
| SUCCESSFUL | Job completed successfully |
| FAILED | Job failed (check reason field) |
| CANCELING | Job is being cancelled |
| CANCELED | Job was cancelled |
Guidance
- Many control-plane operations are asynchronous and return a
jobId. Suggest usingjob describeto track progress. - When a job fails, the
reasonfield contains the error message. Display it to the user. - For long-running operations (cluster creation, data migration), suggest using
--waitso the user doesn't have to poll manually. - The
--waitflag shows a live progress spinner. Users can press Ctrl+C to stop waiting without cancelling the job itself.
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.
- 8d ago First seen · 58 lines · 44 tokens per session scan A f4eae7630a48
job is a skill published in the GitHub repository zilliztech/zilliz-plugin (3 stars, last pushed 4d ago), licensed Apache-2.0. It adds 44 tokens to every session and 471 once invoked, about $0.0002 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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