import

import is a skill for Claude Code from zilliztech/zilliz-plugin. It costs 39 tokens per session (853 once invoked), scanned A, original, Apache-2.0.

A command reference for importing bulk data into a Milvus collection through Zilliz Cloud, a managed Milvus service. It also covers import jobs and the temporary stages they reference.

In plain words
What is it for?
Use it to start, list, and inspect Zilliz Cloud import jobs, or to list, create, and delete import stages.
Why use it?
It avoids having to remember the command names and optional project, cluster, region, and database settings. It provides commands for checking import status and managing stages.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the zilliz plugin — 22 skills, 2 commands shipped together

Good fit Use it to start, list, and inspect Zilliz Cloud import jobs, or to list, create, and delete import stages.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zilliztech/zilliz-plugin/import
Install

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.

Any agent
npx skills add zilliztech/zilliz-plugin --skill import
Clone the repo
git clone --depth 1 https://github.com/zilliztech/zilliz-plugin

Made for: Claude Code.

Or install zilliz, the plugin that ships this one along with the rest of its 22 skills, 2 commands.

Wrote 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.

agentmods badge for import

README.md
[![agentmods](https://agentmods.dev/badge/skills/zilliztech/zilliz-plugin/import/github.svg)](https://agentmods.dev/skills/zilliztech/zilliz-plugin/import)
Your own site
<a href="https://agentmods.dev/skills/zilliztech/zilliz-plugin/import"><img src="https://agentmods.dev/badge/skills/zilliztech/zilliz-plugin/import/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.

agentmods 80×15 button for import

Your own site · 80×15
<a href="https://agentmods.dev/skills/zilliztech/zilliz-plugin/import"><img src="https://agentmods.dev/badge/skills/zilliztech/zilliz-plugin/import.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 853 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.00853
Opus 5.5 $0.00016 $0.00341
Sonnet 5.5 $0.00008 $0.00171
Haiku 4.5 $0.00004 $0.00085

Measured 1mo ago against content hash 7dbd3630fc4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

import 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 1mo 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.

plugins/zilliz/skills/import/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prerequisites

  1. CLI installed and logged in (see setup skill).
  2. Target collection must exist on the target cluster.

Commands Reference

Import Jobs

Start an Import Job
zilliz import start --collection <target-collection-name>
# Optional:
#   --cluster-id <target-cluster-id>
#   --project-id <project-id>
#   --region-id <region-id>
# Or use raw JSON: --body '{"files": [["s3://bucket/path/data.parquet"]]}'
List Imports
zilliz import list
# Optional:
#   --cluster-id <cluster-id>
#   --project-id <project-id>
#   --region-id <region-id>
#   --database <database-name>
Check Import Status
zilliz import status --job-id <import-job-id>
# Optional:
#   --cluster-id <cluster-id>
#   --project-id <project-id>
#   --region-id <region-id>

Import Stages

List Stages
zilliz stage list
# Optional: --project-id <filter-by-project-id>
# Pagination: --page-size <n> --page <n>
# Fetch all pages: --all
Create a Stage
zilliz stage create \
  --project-id <owning-project-id> \
  --region-id <cloud-region> \
  --stage-name <stage-name>
Delete a Stage
zilliz stage delete --stage-name <stage-name>
Apply
zilliz stage apply --stage-name <stage-name>
# Optional:
#   --project-id <project-id>
#   --region-id <region-id>
#   --cluster-id <target-cluster-id>
#   --path <stage-subpath>

Integration Setup

Import requires a cloud storage integration to access data files. The integration-id is configured in the Zilliz Cloud console under Project Settings > Integrations. Ensure the integration has read access to the source bucket and path.

Supported file formats: Parquet, JSON, CSV.

Stages vs. Direct Integrations

A stage is a named, project-scoped handle to a pre-uploaded set of files in managed cloud storage. Import jobs reference either:

  • a customer-owned bucket via an integration (the original flow above), or
  • a stage (zilliz stage create --project-id <id> --region-id <region> --stage-name <name>), which is preferable when the user wants Zilliz Cloud to host the staging bucket.

Read the full file on GitHub · 120 lines

Changes

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.

  1. 1mo ago First seen · 120 lines · 39 tokens per session scan A 7dbd3630fc4d

Subscribe to this mod's changes

import is a skill published in the GitHub repository zilliztech/zilliz-plugin (3 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 39 tokens to every session and 853 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

cloudflare-vectorize

Cloudflare Vectorize vector database for semantic search and RAG. Use for vector indexes, embeddings, similarity search, or encountering dimension mismatches, filter errors.

secondsky/claude-skills · 37 tokens

chroma

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source…

davila7/claude-code-templates · 63 tokens

pinecone

Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.

davila7/claude-code-templates · 63 tokens

chroma

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source…

Orchestra-Research/AI-Research-SKILLs · 63 tokens

chroma

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source…

synthetic-sciences/openscience · 63 tokens

pinecone

Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.

synthetic-sciences/openscience · 63 tokens