SenseNova Image Base Tools

What it does

When your agent uses it

• Generating an image from a text prompt through the SenseNova API
• Editing a reference image with SenseNova U1.5 Lite
• Analyzing an image's content with a vision-language model
• Optimizing a piece of text with an LLM as part of a larger SenseNova workflow

Example prompts

• “Generate a 2k 16:9 image of a mountain lake at dawn with no watermark.”
• “Edit ./assets/product.jpg to change the background to studio white using SenseNova U1.5 Lite.”
• “Analyze what's in this product photo using the SenseNova recognition tool.”

Requirements

• Python with the project's requirements.txt installed
• A SenseNova API key

What it can do on your machine

Read from SKILL.md and the folder at commit 5abde96. 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 10 files in scripts/ (Python, from the files we listed), which the agent can run.

  Shell commands in SKILL.md call:

  • python
  • pip

  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:

  • api.anthropic.com
  • token.sensenova.cn
  • custom-endpoint.com

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

• Credentials

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

  • SN_API_KEY
  • SN_CHAT_API_KEY
  • SN_VISION_API_KEY
  • SN_TEXT_API_KEY
  • SN_IMAGE_GEN_API_KEY

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

Context cost

SenseNova Image Base Tools loads about 3.2k tokens when it runs, and up to ~6.5k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 956 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~81

When it runs · the whole SKILL.md, loaded when a task matches

~3.2k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~6.5k

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

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 OpenSenseNova/SenseNova-Skills at commit 5abde96, republished under its MIT licence (© OpenSenseNova). 956 words, ~3,235 tokens.

name

sn-image-base

description

Base-layer skill for the SenseNova-Skills project, providing low-level APIs for image generation, recognition (VLM), and text optimization (LLM). This skill does not preprocess inputs; it only calls backend services and returns results. This skill is not user-facing and is intended for upper-layer skills only.

triggers

SenseNova-Skills Image Generation, SenseNova-Skills 图像基础工具, sn 图像基础工具, SenseNova 图像基础工具, SenseNova Image Generation, sn-image-base

metadata.project

SenseNova-Skills

metadata.tier

0

metadata.category

infrastructure

metadata.user_visible

false

pip install -r requirements.txt

python scripts/sn_agent_runner.py sn-image-edit \
    --prompt "Change the background to a snowy mountain" \
    --images source.png reference.png \
    --save-path edited.png

# Image generation (only prompt required; api-key/base-url have defaults)
python scripts/sn_agent_runner.py sn-image-generate \
    --prompt "..."

# Image generation (override base-url)
python scripts/sn_agent_runner.py sn-image-generate \
    --prompt "..." \
    --base-url "https://custom-endpoint.com/v1"

# Image generation (explicitly override api-key)
python scripts/sn_agent_runner.py sn-image-generate \
    --prompt "..." \
    --api-key "sk-xxx"

# Image recognition (VLM) - minimal call (uses built-in Sensenova defaults)
python scripts/sn_agent_runner.py sn-image-recognize \
    --user-prompt "Describe the image" \
    --images "path/to/image.png"

# Image recognition (VLM) - override to Anthropic Claude API compatible (messages interface)
python scripts/sn_agent_runner.py sn-image-recognize \
    --user-prompt "Describe the image" \
    --images "path/to/image.png" \
    --api-key "sk-ant-xxx" \
    --base-url "https://api.anthropic.com" \
    --model "claude-sonnet-4-6" \
    --vlm-type "anthropic-messages"

# Text optimization (LLM) - minimal call (uses built-in Sensenova defaults)
python scripts/sn_agent_runner.py sn-text-optimize \
    --user-prompt "Optimize the text: ..."

# Text optimization (LLM) - override to Anthropic Claude API compatible (messages interface)
python scripts/sn_agent_runner.py sn-text-optimize \
    --user-prompt "Optimize the text: ..." \
    --api-key "sk-ant-xxx" \
    --base-url "https://api.anthropic.com" \
    --model "claude-sonnet-4-6" \
    --llm-type "anthropic-messages"

{
  "status": "ok",
  "result": "...",
  "model": "sensenova-6.8-flash-lite",
  "base_url": "https://token.sensenova.cn/v1",
  "interface_type": "openai-completions",
  "elapsed_seconds": 1.23
}

{
  "status": "failed",
  "error": "error message",
  "elapsed_seconds": 0.05
}

© OpenSenseNova, 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 34 other files (scripts, references) in skills/sn-image-base of OpenSenseNova/SenseNova-Skills.

• SKILL.md
• .gitattributes
• .gitignore
• README.md
• README_CN.md
• references/api_spec.md
• requirements.txt
• scripts/.python-version
• scripts/extract_json.py
• scripts/pyproject.toml
• scripts/ruff.toml
• scripts/sn_agent_runner.py
• scripts/sn_image_base/__init__.py
• scripts/sn_image_base/configs.py
• scripts/sn_image_base/exceptions.py
• scripts/sn_image_base/generation/__init__.py
• scripts/sn_image_base/generation/core
• … and 18 more

Open the folder on GitHubat commit 5abde96