Agent skill

Vectronode Image

by aAAaqwq in aAAaqwq/AGI-Super-Team

VectorNode 中转站 GPT Image 图片生成与编辑(按提示词长度自动路由 gpt-image-2 Token 计费 / gpt-image-2-all 按次计费)。Use when: 画图、生图、生成图片、gpt生图、VectorNode、gpt-image、image generate、image edit、编辑图片。Requires VECTORNODEAPIKEY in…

MITAuto-check: notesMedia & Creative

Install Vectronode Image

skills CLI
$ npx skills add aAAaqwq/AGI-Super-Team --skill vectronode-image -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aAAaqwq/AGI-Super-Team vectronode-image --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vectronode-image .claude/skills/vectronode-image && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
vectronode-image
GitHub stars
105
Token cost
~966 tokens
SKILL.md length
188 words
Files
6 (incl. scripts, references)
Skills in repo
167
Repo updated
First seen
Licence
MIT

At a glance

VectorNode 中转站 GPT Image 图片生成与编辑(按提示词长度自动路由 gpt-image-2 Token 计费 / gpt-image-2-all 按次计费)。Use when: 画图、生图、生成图片、gpt生图、VectorNode、gpt-image、image generate、image edit、编辑图片。Requires VECTORNODEAPIKEY in…

  • : 画图、生图、生成图片、gpt生图、VectorNode、gpt-image、image generate、image edit、编辑图片。Requires VECTORNODEAPIKEY in ~/.openclaw/.env
  • SKILL.md covers 两个模型,一套接口, 路由策略(自动), 快速使用 and 必填环境变量, plus 6 more sections
  • Runs Python scripts from its folder; calls python3; reaches vectronode.com; needs VECTORNODE_API_KEY
  • Tasks that involve Image generation

What it does

Vectronode Image is an agent skill from aAAaqwq/AGI-Super-Team. VectorNode 中转站 GPT Image 图片生成与编辑(按提示词长度自动路由 gpt-image-2 Token 计费 / gpt-image-2-all 按次计费)。Use when: 画图、生图、生成图片、gpt生图、VectorNode、gpt-image、image generate、image edit、编辑图片。Requires VECTORNODEAPIKEY in ~/.openclaw/.env.

Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `_meta.json`, `references/api-specs.md` and `references/examples.md`).

It sits in Media & Creative, covering Image generation. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.

When your agent uses it

  • : 画图、生图、生成图片、gpt生图、VectorNode、gpt-image、image generate、image edit、编辑图片。Requires VECTORNODEAPIKEY in ~/.openclaw/.env
  • Tasks that involve Image generation

Example prompts

  • “/vectronode-image”

Requirements

  • Python 3
  • A credential in VECTORNODE_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 331ecd3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • vectronode.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • VECTORNODE_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Vectronode Image loads about 966 tokens when it runs, and up to ~3.9k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 188 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~966
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:3
    quires VECTORNODE_API_KEY in ~/.openclaw/.env."
  • NoteMentions a .env fileSKILL.md:87
    | `VECTORNODE_API_KEY` | `~/.openclaw/.env` | ✅ |
  • NoteMentions a .env fileSKILL.md:88
    | `VECTORNODE_BASE_URL` | `~/.openclaw/.env`(默认 `https://www.vectronode.com/`) | 可选 |
  • NoteMentions a .env fileSKILL.md:90
    **加载顺序**:env → `~/.openclaw/.env` → 报错。

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aAAaqwq/AGI-Super-Team at commit 331ecd3, republished under its MIT licence (© aAAaqwq). 188 words, ~966 tokens.

Download SKILL.mdSave it as .claude/skills/vectronode-image/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
vectronode-image
description
VectorNode 中转站 GPT Image 图片生成与编辑(按提示词长度自动路由 gpt-image-2 Token 计费 / gpt-image-2-all 按次计费)。Use when: 画图、生图、生成图片、gpt生图、VectorNode、gpt-image、image generate、image edit、编辑图片。Requires VECTORNODE_API_KEY in ~/.openclaw/.env.
author
Daniel Li

VectorNode Image — GPT Image 智能生图

VectorNode 中转站(https://www.vectronode.com/)的 GPT Image 生图/编辑能力,按提示词长度自动路由最优接口,兼顾成本与质量。

两个模型,一套接口

模型计费方式适用场景
gpt-image-2按 Token 计费短提示词(≤200 字符)更划算
gpt-image-2-all按次计费长提示词/复杂描述/多图/高分辨率更稳

两个模型都调用同一个 endpoint:POST {VECTORNODE_BASE_URL}/v1/images/generations(JSON)。区别只在 model 字段。

路由策略(自动)

脚本 vectronode_image.py 会根据以下因素自动选择最优模型:

判断流程:
1. 用户显式指定 model? → 使用指定的
2. prompt 长度 > 200 字符? → gpt-image-2-all(按次,长 prompt 友好)
3. n > 1 或 size >= 2K 或 quality == "high"? → gpt-image-2-all
4. 否则 → gpt-image-2(按 Token,节省成本)

快速使用

生成图片
bash
python3 ~/.openclaw/skills/vectronode-image/scripts/vectronode_image.py generate \
  --prompt "A cute cat in a cyberpunk city" \
  --output ~/clawd/output/cat.png \
  --size 1024x1024
编辑图片
bash
python3 ~/.openclaw/skills/vectronode-image/scripts/vectronode_image.py edit \
  --image ~/clawd/photos/hero.jpg \
  --prompt "Change background to sunset over mountains" \
  --output ~/clawd/output/hero-edited.png
强制模型
bash
# 强制走按次计费(长/复杂任务)
python3 ~/.openclaw/skills/vectronode-image/scripts/vectronode_image.py generate \
  --prompt "..." --output out.png --model gpt-image-2-all

# 强制走按Token计费(短/简单任务)
python3 ~/.openclaw/skills/vectronode-image/scripts/vectronode_image.py generate \
  --prompt "..." --output out.png --model gpt-image-2
预览路由决策(不真发请求)
bash
python3 ~/.openclaw/skills/vectronode-image/scripts/vectronode_image.py generate \
  --prompt "..." --output out.png --dry-run

必填环境变量

变量来源必填
VECTORNODE_API_KEY~/.openclaw/.env✅
VECTORNODE_BASE_URL~/.openclaw/.env(默认 https://www.vectronode.com/)可选

加载顺序:env → ~/.openclaw/.env → 报错。

支持参数

Flag说明默认
--prompt提示词(必填,generate)—
--image输入图片路径(必填,edit)—
--mask编辑遮罩 PNG(可选,edit)—
--output输出文件路径(必填)—
--modelgpt-image-2 / gpt-image-2-all / autoauto
--n张数(1-10)1
--size1024x1024 / 1536x1024 / 1024x1536 / 2K / 4K / autoauto
--qualitylow / medium / high / autoauto
--formatpng / jpeg / webppng
--backgroundtransparent / opaque / autoauto
--dry-run仅打印路由决策false

支持的尺寸

尺寸说明
1024x1024默认
1536x1024 / 1024x1536横竖版
2048x2048 / 2048x11522K
3840x2160 / 2160x38404K(需 gpt-image-2-all)
auto模型自动选

路由决策示例

Prompt 长度nsizequality→ 模型理由
50 字符11024x1024autogpt-image-2短,Token 计费便宜
250 字符11024x1024autogpt-image-2-all长 prompt,按次更划算
50 字符41024x1024autogpt-image-2-all多图,按次计费
50 字符12048x2048autogpt-image-2-all2K,按次计费
50 字符11024x1024highgpt-image-2-allhigh quality,按次更稳

输出格式

API 返回 b64_json,脚本自动解码保存到 --output 路径(PNG/JPEG/WebP)。

错误处理

  • 401 → 检查 VECTORNODE_API_KEY 是否正确
  • 429 → 触发限流,脚本自动 sleep 2s 重试一次
  • 400 → 提示词超过 1000 字符或参数不合法
  • 5xx → 中转站故障,提示重试

相关文档

© aAAaqwq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/vectronode-image of aAAaqwq/AGI-Super-Team.

  • SKILL.md
  • _meta.json
  • references/api-specs.md
  • references/examples.md
  • references/routing-logic.md
  • scripts/vectronode_image.py

Open the folder on GitHubat commit 331ecd3

Compare with similar skills

Vectronode Image next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Vectronode Image compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vectronode Image this skillaAAaqwq/AGI-Super-Team105—~966Automated safety check: NotesMIT
AI Image Generation and Editingzhayujie/CowAgent47k—~1.3kAutomated safety check: PassMIT
Structured Image Generationbytedance/deer-flow84k4 repos~2.9kAutomated safety check: PassMIT
Canghe Comicfreestylefly/canghe-skills4618 repos~3.2kAutomated safety check: PassNone
Generate Imageynulihao/AgentSkillOS61710 repos~1.7kAutomated safety check: NotesNone
GPT Image Generation CLIwuyoscar/GPT-Image2-Skill5.7k—~2.5kAutomated safety check: NotesMIT

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Questions about Vectronode Image

What does Vectronode Image do?

VectorNode 中转站 GPT Image 图片生成与编辑(按提示词长度自动路由 gpt-image-2 Token 计费 / gpt-image-2-all 按次计费)。Use when: 画图、生图、生成图片、gpt生图、VectorNode、gpt-image、image generate、image edit、编辑图片。Requires VECTORNODEAPIKEY in…. Vectronode Image is an agent skill from aAAaqwq/AGI-Super-Team.env.

When should I use Vectronode Image?

Vectronode Image fits situations like: : 画图、生图、生成图片、gpt生图、VectorNode、gpt-image、image generate、image edit、编辑图片。Requires VECTORNODEAPIKEY in ~/.openclaw/.env; tasks that involve Image generation.

How do I install Vectronode Image in Claude Code?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill vectronode-image -a claude-code`. Or copy the skill folder (skills/vectronode-image in aAAaqwq/AGI-Super-Team) into .claude/skills/vectronode-image in your project. Claude Code loads it when a task matches its description.

How do I install Vectronode Image in Codex?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill vectronode-image -a codex`. Or copy the skill folder (skills/vectronode-image in aAAaqwq/AGI-Super-Team) into .agents/skills/vectronode-image in your project. Codex loads it when a task matches its description.

Can I use Vectronode Image in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aAAaqwq/AGI-Super-Team --skill vectronode-image -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vectronode-image, .gemini/skills/vectronode-image, .github/skills/vectronode-image and .opencode/skills/vectronode-image in your project.

What does Vectronode Image need to run?

Going by SKILL.md and its folder, Vectronode Image needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named VECTORNODE_API_KEY. Our summary lists: Python 3; A credential in VECTORNODE_API_KEY.

Does Vectronode Image access the network?

SKILL.md names 1 domain. In commands or code: vectronode.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Vectronode Image safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Vectronode Image use?

Vectronode Image is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vectronode Image use?

About 966 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.

What are the alternatives to Vectronode Image?

Skills that share tags, products or a category with Vectronode Image: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Structured Image Generation (bytedance/deer-flow, 84k stars), Canghe Comic (freestylefly/canghe-skills, 461 stars) and Generate Image (ynulihao/AgentSkillOS, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vectronode Image?

aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 167 skills in this directory. The repository was last updated on October 8, 2026.

Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.