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-da-image-captiongit 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-da-image-caption)<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-da-image-caption"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-da-image-caption/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-da-image-caption"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-da-image-caption.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00345 | $0.02297 |
| Opus 5 | $0.00172 | $0.01149 |
| Sonnet 5 | $0.00069 | $0.00459 |
| Haiku 4.5 | $0.00034 | $0.00230 |
Grade A, and why
sn-da-image-caption scanned grade A with 1 finding 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 3d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run( How it starts
The opening of the file, as written. The whole thing — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Caption Analysis — 图片描述与数据提取
Overview
Analyze, extract data from, or understand image files (.png, .jpg, .jpeg, .gif, .webp, .bmp). The core workflow:
- Run
scripts/caption.pyto get a text description of the image - Parse the description into structured data (DataFrame, etc.)
- Analyze, visualize, or export
scripts/caption.py — Image Caption
The script converts images to text descriptions via a vision model. Configure via SN_API_KEY (minimum required), or use SN_VISION_API_KEY / SN_VISION_BASE_URL / SN_VISION_MODEL for fine-grained control. See the project environment variable spec for the full fallback chain.
Usage
# Basic — get text description
python3 scripts/caption.py /mnt/data/image.png
# Custom prompt — guide what to extract
python3 scripts/caption.py /mnt/data/chart.png --prompt "提取所有数值，Markdown 表格格式"
# JSON output — includes detected type, usage stats, cache info
python3 scripts/caption.py /mnt/data/image.png --json
# Batch — process all images in a directory
python3 scripts/caption.py /mnt/data/images/ --batch --output /mnt/data/captions.json
# Override model (optional)
python3 scripts/caption.py /mnt/data/image.png --model gemini-3.1-flash-lite-preview
Options
| Option | Description |
|---|---|
--prompt, -p |
Custom prompt (overrides auto-detection) |
--model, -m |
Vision model (default: sensenova-6.8-flash-lite) |
--json |
Output structured JSON instead of plain text |
--batch |
Process all images in a directory |
--output, -o |
Output file for batch results |
--no-cache |
Skip MD5 cache |
What it does automatically
- Type detection: Detects image type from filename (chart/table/UI/diagram/general) and picks the best prompt
- Compression: Images >5MB or >2048px are compressed before sending
- Caching: Same image + same prompt → instant cached result, no API cost
- Error handling: Retries on failure, returns error message on permanent failure
What ships with it
1 file 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.
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.
- 3d ago Changed bf905db1e44d
- 11d ago First seen · 239 lines · 345 tokens per session scan A 22fd920e993f
sn-da-image-caption is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (5,515 stars, last pushed today), licensed MIT. It adds 345 tokens to every session and 2,297 once invoked, about $0.0017 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
article-writer
Multi-style article creation skill. Supports 5 writing styles (deep analysis, practical guide, story-driven, opinion, news brief), including complete workflow: material collection → outline → content → formatting. Activated when users mention "write article", "write post", "create", or "draft".
skin-creator
Create and apply a two-asset LobsterAI visual skin from the user's style description. Use only when the AI Skin Designer kit supplies the structured skinpack workflow marker; do not use for ordinary theme or image requests.
content-planner
WeChat Official Account topic planning and content calendar management. Based on WeChat article search and trending analysis, generates differentiated topic recommendations and outputs structured content calendars. Activated when users mention "topic", "planning", "content calendar", "trending", or "what to write next…
music-search
Search cloud drives for downloadable music resources (songs, albums, lossless audio). Use this skill when the user wants to download a specific song or album. Do NOT use for general music information, lyrics, or recommendations.
stock-analyzer
A comprehensive stock deep analysis tool that combines real-time quotes, fundamental metrics, technical indicators, and growth analysis into a single professional report. Supports A-share, US stocks, HK stocks. Generates detailed investment recommendations with risk assessment and actionable trading strategies.
ha-skill-creator
Create, edit, improve, or audit Hope Agent skills. Use when the user wants to: (1) create a new skill from scratch, (2) edit or improve an existing skill, (3) review or clean up a SKILL.md file, (4) run evaluations to test skill effectiveness, (5) optimize skill descriptions for better trigger accuracy. Trigger…