dolphindb-vectorization-programming

dolphindb-vectorization-programming is a skill for Codex from dolphindb/DolphinX_Skill. It costs 91 tokens per session (2,044 once invoked), scanned A, original, no licence file.

A workflow for writing, improving, and reviewing vectorized DolphinDB and DolphinScript code. Vectorization processes groups of values together instead of handling each value separately.

In plain words
What is it for?
Rewriting loops, improving performance, and selecting vectorized, SQL, or streaming solutions in DolphinDB.
Why use it?
It helps find slow element-by-element or loop-based code and choose more suitable data-processing approaches.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Rewriting loops, improving performance, and selecting vectorized, SQL, or streaming solutions in DolphinDB.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dolphindb/dolphinx_skill/dolphindb-vectorization-programming
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 dolphindb/DolphinX_Skill --skill dolphindb-vectorization-programming
Clone the repo
git clone --depth 1 https://github.com/dolphindb/DolphinX_Skill

Made for: 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 dolphindb-vectorization-programming

README.md
[![agentmods](https://agentmods.dev/badge/skills/dolphindb/dolphinx_skill/dolphindb-vectorization-programming/github.svg)](https://agentmods.dev/skills/dolphindb/dolphinx_skill/dolphindb-vectorization-programming)
Your own site
<a href="https://agentmods.dev/skills/dolphindb/dolphinx_skill/dolphindb-vectorization-programming"><img src="https://agentmods.dev/badge/skills/dolphindb/dolphinx_skill/dolphindb-vectorization-programming/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 dolphindb-vectorization-programming

Your own site · 80×15
<a href="https://agentmods.dev/skills/dolphindb/dolphinx_skill/dolphindb-vectorization-programming"><img src="https://agentmods.dev/badge/skills/dolphindb/dolphinx_skill/dolphindb-vectorization-programming.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,044 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 $0.00091 $0.02044
Opus 5.5 $0.00036 $0.00818
Sonnet 5.5 $0.00018 $0.00409
Haiku 4.5 $0.00009 $0.00204

Measured 1mo ago against content hash 0de9fd1101a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dolphindb-vectorization-programming 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.

dolphindb-coding-style/dolphindb-vectorization-programming/SKILL.md · 112 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. 1mo ago First seen · 112 lines · 91 tokens per session scan A 0de9fd1101a7

Subscribe to this mod's changes

dolphindb-vectorization-programming is a skill published in the GitHub repository dolphindb/DolphinX_Skill (11 stars, last pushed 2mo ago), with no licence file. It adds 91 tokens to every session and 2,044 once invoked, about $0.0004 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 2026-08-31.

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