skills-based-app: Skill for Claude Code

.agents/skills/qdrant-scaling/scaling-data-volume/vertical-scaling/SKILL.md

qdrant-vertical-scaling is a skill for Claude Code, Codex from lucifertrj/skills-based-app. It costs 78 tokens per session (932 once invoked), scanned A, original, GPL-3.0.

A guide to choosing vertical scaling for Qdrant, a database for searching data by meaning. It covers adding CPU or memory to existing nodes and deciding between scaling up and adding more nodes.

In plain words
What is it for?
Use it to decide whether to resize Qdrant nodes, how to scale up a node, and when vertical scaling fits better than horizontal scaling.
Why use it?
It helps when current nodes do not have enough CPU or memory, or when adding nodes would make the setup harder to manage.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is lucifertrj/skills-based-app's own configuration. It tells Claude Code and Codex how to work on skills-based-app itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything skills-based-app configures →

Reuse

Borrowing it

Nothing to install: this file belongs to lucifertrj/skills-based-app. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/lucifertrj/skills-based-app/main/.agents/skills/qdrant-scaling/scaling-data-volume/vertical-scaling/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/lucifertrj/skills-based-app

Made for: Claude Code, Codex.

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 qdrant-vertical-scaling

README.md
[![agentmods](https://agentmods.dev/badge/skills/lucifertrj/skills-based-app/vertical-scaling/github.svg)](https://agentmods.dev/skills/lucifertrj/skills-based-app/vertical-scaling)
Your own site
<a href="https://agentmods.dev/skills/lucifertrj/skills-based-app/vertical-scaling"><img src="https://agentmods.dev/badge/skills/lucifertrj/skills-based-app/vertical-scaling/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 qdrant-vertical-scaling

Your own site · 80×15
<a href="https://agentmods.dev/skills/lucifertrj/skills-based-app/vertical-scaling"><img src="https://agentmods.dev/badge/skills/lucifertrj/skills-based-app/vertical-scaling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 932 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 $0.00078 $0.00932
Opus 5 $0.00039 $0.00466
Sonnet 5 $0.00016 $0.00186
Haiku 4.5 $0.00008 $0.00093

Measured 11d ago against content hash 8f2cfdbcfa99, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

qdrant-vertical-scaling 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 11d 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.

.agents/skills/qdrant-scaling/scaling-data-volume/vertical-scaling/SKILL.md · 69 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

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. 11d ago First seen · 69 lines · 78 tokens per session scan A 8f2cfdbcfa99

Subscribe to this mod's changes

qdrant-vertical-scaling is a skill published in the GitHub repository lucifertrj/skills-based-app (18 stars, last pushed 4mo ago), licensed GPL-3.0. It adds 78 tokens to every session and 932 once invoked, about $0.0004 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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