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vector

vector is a skill for Claude Code from zilliztech/zilliz-plugin. It costs 28 tokens per session (963 once invoked), scanned A, original, Apache-2.0.

Commands for adding, replacing, finding, and deleting numeric representations of data in a Milvus collection. Milvus is a database designed for searching items by similarity.

In plain words
What is it for?
Use it to insert or upsert vector records, run similarity or combined searches, and target a specific database or collection through the Zilliz command line.
Why use it?
It removes the need to remember separate command formats for storing vectors, updating them, and searching with optional filters or fields.

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

not rated 3repo 1mo ago A scan 28 tokens original Apache-2.0

Good fit Use it to insert or upsert vector records, run similarity or combined searches, and target a specific database or collection through the Zilliz command line.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zilliztech/zilliz-plugin/vector
View source ↗ zilliztech/zilliz-plugin docs.zilliz.com
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 vector
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 vector

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/zilliztech/zilliz-plugin/vector"><img src="https://agentmods.dev/badge/skills/zilliztech/zilliz-plugin/vector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 963 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 $0.00028 $0.00963
Opus 5.5 $0.00011 $0.00385
Sonnet 5.5 $0.00006 $0.00193
Haiku 4.5 $0.00003 $0.00096

Measured 1mo ago against content hash f530379e62d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

vector 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/vector/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prerequisites

  1. CLI installed, logged in, and cluster context set (see setup skill).
  2. Target collection must exist and be loaded (see collection skill).

Commands Reference

All vector commands accept an optional --database <db-name> flag to target a non-default database. If omitted, the database from the current context is used.

Insert Vectors

zilliz vector insert --collection <collection-name> --data '[{"id": 1, "vector": [0.1, 0.2, ...], "text": "hello"}]'
# Optional: --database <database-name>
# Or use raw JSON: --body '{...}'

Upsert Vectors

zilliz vector upsert --collection <collection-name> --data '[{"id": 1, "vector": [0.1, 0.2, ...], "text": "hello"}]'
# Optional: --partition <partition-name>, --database <database-name>
# Or use raw JSON: --body '{...}'

Vector Search

zilliz vector search --collection <collection-name> --data '[[0.1, 0.2, 0.3, ...]]'
# Optional:
#   --anns-field <vector-field-to-search-on>
#   --limit <max-results-to-return>
#   --filter <scalar-filter-expression>
#   --output-fields '["field1", "field2"]'
#   --database <database-name>

Hybrid Search

zilliz vector hybrid-search \
  --collection <collection-name> \
  --search '[{"data": [[0.1, ...]], "annsField": "dense_vector", "limit": 10}, {"data": [["search text"]], "annsField": "sparse_vector", "limit": 10}]' \
  --rerank '{"strategy": "rrf", "params": {"k": 60}}'
# Optional:
#   --limit <max-results-to-return>
#   --output-fields '["field1", "field2"]'
#   --database <database-name>
# Or use raw JSON: --body '{...}'

Query by Filter

zilliz vector query --collection <collection-name> --filter <scalar-filter-expression>
# Optional:
#   --limit <max-results-to-return>
#   --output-fields '["field1", "field2"]'
#   --database <database-name>

Get by ID

zilliz vector get --collection <collection-name> --id '[1, 2, 3]'
# Optional: --output-fields '["field1", "field2"]', --database <database-name>

Read the full file on GitHub · 105 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 · 105 lines · 28 tokens per session scan A f530379e62d1

Subscribe to this mod's changes

vector is a skill published in the GitHub repository zilliztech/zilliz-plugin (3 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 963 once invoked, about $0.0001 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.

Claude CodeData and AIDatabasesRAG and vectorsclaude-code-skillpluginskillvector-databasezilliz
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