SenseNova-Skills is a collection of modular skills that extend SenseNova models with office-assistant capabilities such as image generation, presentation creation, spreadsheet analysis, and research. The skills are designed for use in agent runtimes and can be combined into productivity workflows; the catalogue entries are individual skills and agents from this collection.
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.
npx skills add OpenSenseNova/SenseNova-Skills --skill sn-image-basegit clone --depth 1 https://github.com/OpenSenseNova/SenseNova-SkillsWrote 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.
[](https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-image-base)<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-image-base"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-image-base/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.
<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-image-base"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-image-base.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 208 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 210 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00066 | $0.03523 |
| Opus 5.5 | $0.00026 | $0.01409 |
| Sonnet 5.5 | $0.00013 | $0.00705 |
| Haiku 4.5 | $0.00007 | $0.00352 |
Grade A, and why
sn-image-base 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.
How it starts
The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sn-image-base
Dependency Installation
pip install -r requirements.txt
Overview
sn-image-base is the base-layer skill (tier 0) of the SenseNova-Skills project and provides four low-level tools:
sn-image-generate: image generation (calls text-to-image-no-enhance API)sn-image-edit: image editing with SenseNova U1.5 Lite (calls/images/edits)sn-image-recognize: image recognition (uses VLM to analyze image content)sn-text-optimize: text optimization (uses LLM to process text)
This skill does not perform any input preprocessing and only calls backend services to return results.
Tools List
sn-image-generate
Image generation tool that calls the text-to-image-no-enhance API.
--prompt is required; all other parameters are optional:
| Parameter | Type | Default | Description |
|---|---|---|---|
--prompt |
string | Required | Prompt text for image generation |
--negative-prompt |
string | "" |
Negative prompt |
--image-size |
string | 2k |
Image size preset (case-insensitive). Recommended: 2k. 4k is supported by sensenova-u1.5-lite; other SenseNova image models may reject it. Other values → status=failed. |
--aspect-ratio |
string | 16:9 |
Aspect ratio, e.g. 1:1, 16:9, 9:16 |
--seed |
int | None |
Random seed for reproducible generation |
--unet-name |
string | None |
Specify a UNet model name |
--api-key |
string | SN_IMAGE_GEN_API_KEY -> SN_API_KEY |
API key (CLI argument has priority; MissingApiKeyError is raised when all are empty) |
--base-url |
string | SN_IMAGE_GEN_BASE_URL -> SN_BASE_URL |
API base URL (CLI argument has priority) |
--poll-interval |
float | 5.0 |
Polling interval (seconds) |
--timeout |
float | 300.0 |
Timeout (seconds) |
--insecure |
flag | False |
Disable TLS verification |
--save-path |
Path | Auto-generated | Save path |
SenseNova image requests explicitly send watermark=false by default. Both sensenova-u1-fast and sensenova-u1.5-lite are supported; U1.5 Lite additionally supports native 4K output. This no-watermark feature is currently in free public beta and may become paid.
What ships with it
30 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .gitattributes 219 B
- .gitignore 4.3 KB
- README_CN.md 10 KB
- README.md 10 KB
- references/api_spec.md 13 KB
- requirements.txt 50 B
- scripts/.python-version 4 B
- scripts/extract_json.py 3.6 KB runs code
- scripts/pyproject.toml 339 B
- scripts/ruff.toml 730 B
- scripts/sn_agent_runner.py 24 KB runs code
- scripts/sn_image_base/__init__.py 24 B runs code
- scripts/sn_image_base/configs.py 12 KB runs code
- scripts/sn_image_base/exceptions.py 1.2 KB runs code
- scripts/sn_image_base/generation/__init__.py 272 B runs code
- scripts/sn_image_base/generation/core/__init__.py 412 B runs code
- scripts/sn_image_base/generation/core/client_base.py 2.5 KB runs code
- scripts/sn_image_base/generation/nano_banana.py 12 KB runs code
- scripts/sn_image_base/generation/openai_image.py 12 KB runs code
- scripts/sn_image_base/generation/sensenova.py 19 KB runs code
- scripts/sn_image_base/llm/__init__.py 215 B runs code
- scripts/sn_image_base/llm/anthropic_adapter.py 5.0 KB runs code
- scripts/sn_image_base/llm/chat_completions_adapter.py 9.7 KB runs code
- scripts/sn_image_base/llm/llm_adapter.py 1.8 KB runs code
- scripts/sn_image_base/utils/__init__.py 0 B runs code
- scripts/sn_image_base/utils/error_utils.py 7.3 KB runs code
- scripts/sn_image_base/utils/httpx_client.py 7.0 KB runs code
- scripts/sn_image_base/vlm/__init__.py 100 B runs code
- scripts/sn_image_base/vlm/utils.py 3.0 KB runs code
- scripts/sn_image_base/vlm/vlm_adapter.py 2.1 KB runs code
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.
- 1mo ago Changed · +14 lines 75335ef4ef8a
- 1mo ago First seen · 252 lines · 66 tokens per session scan A b29e557b0e10
sn-image-base is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (5,943 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 3,523 once invoked, about $0.0003 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 2026-09-03.
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