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vectorize

vectorize is a command for Claude Code from Fandhe-AI/agent-reference-skills. It costs 0 tokens per session (2,023 once invoked), scanned A, original, no licence file.

A reference for Wrangler commands that work with Cloudflare Vectorize, a database designed to store and search numerical representations of content called vectors.

In plain words
What is it for?
It helps interact with Vectorize indexes and use vector search as part of data or AI applications.
Why use it?
It gives developers the command syntax for using a vector database from their project tools.

Command for Claude Code

Written for Claude Code: a Claude Code command (commands/*.md).

not rated 4repo 2d ago A scan 0 tokens no licence

Good fit It helps interact with Vectorize indexes and use vector search as part of data or AI applications.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/fandhe-ai/agent-reference-skills/vectorize
View source ↗ Fandhe-AI/agent-reference-skills
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.

Clone the repo
git clone --depth 1 https://github.com/Fandhe-AI/agent-reference-skills

Made for: Claude Code.

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 vectorize

README.md
[![agentmods](https://agentmods.dev/badge/commands/fandhe-ai/agent-reference-skills/vectorize/github.svg)](https://agentmods.dev/commands/fandhe-ai/agent-reference-skills/vectorize)
Your own site
<a href="https://agentmods.dev/commands/fandhe-ai/agent-reference-skills/vectorize"><img src="https://agentmods.dev/badge/commands/fandhe-ai/agent-reference-skills/vectorize/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 vectorize

Your own site · 80×15
<a href="https://agentmods.dev/commands/fandhe-ai/agent-reference-skills/vectorize"><img src="https://agentmods.dev/badge/commands/fandhe-ai/agent-reference-skills/vectorize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,023 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 unknown 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 $0.00000 $0.02023
Opus 5.5 $0.00000 $0.00809
Sonnet 5.5 $0.00000 $0.00405
Haiku 4.5 $0.00000 $0.00202

Measured 2d ago against content hash eaff8b8279c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

vectorize 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 2d 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.

skills/cloudflare-wrangler/references/commands/vectorize.md · 179 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2d ago First seen · 179 lines · 0 tokens per session scan A eaff8b8279c2

Subscribe to this mod's changes

vectorize is a command published in the GitHub repository Fandhe-AI/agent-reference-skills (4 stars, last pushed 2d ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 2,023 tokens. 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 2026-11-04.

Data and AIRAG and vectors
Related

vectorize compared with commands from other repositories

vectorize next to 6 commands from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
vectorizeFandhe-AI/agent-reference-skillsCommand42d agononeA0Claude Code
queryingupstash/redis-jsCommand983yesterdayMITA0Claude Code
ingestGalbaz1/video-research-mcpCommand236d agoMITA10Claude Code
agentget-convex/convex-agent-pluginsCommand11724d agoMITA21Claude Code, Cursor
proofragunshDee/proofragCommand26d agoMITA22Claude Code
inference.embedstratalab/strata-coreCommand51mo agoApache-2.0A0Claude Code
vector.batch_existsstratalab/strata-coreCommand51mo agoApache-2.0A0Claude Code