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-imitategit 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-imitate)<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-image-imitate"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-image-imitate/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-imitate"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-image-imitate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high YARA Match · line 76 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
- high System Prompt Leakage · line 392 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00082 | $0.03834 |
| Opus 5.5 | $0.00033 | $0.01534 |
| Sonnet 5.5 | $0.00016 | $0.00767 |
| Haiku 4.5 | $0.00008 | $0.00383 |
Grade B, and why
sn-image-imitate scanned grade B 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 2mo 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
- `prompts/image_annotate.md` - Image annotation + layout blueprint system prompt (Step 1, required) How it starts
The opening of the file, as written. The whole thing — 396 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sn-image-imitate
Image style imitation scene skill (tier 1), relying on the sn-image-recognize, sn-text-optimize, and sn-image-generate tools provided by sn-image-base (tier 0).
Features:
- Extracts high-fidelity long caption from a reference image
- Rewrites caption according to user requested content change while preserving style and layout
- Enforces layout-lock constraints during caption rewrite
- Performs post-generation layout consistency review and bounded retries
- Returns structured process artifacts for debugging and reproducibility
Non-goals
- Pure neural style transfer without content change (use dedicated style-transfer tools instead)
- Local editing / inpainting of specific regions within the reference image
- Processing video or animation input (only single static images are supported)
- Batch generation from multiple reference images in one invocation
- Guaranteeing pixel-level fidelity to the reference; the skill targets layout and style consistency, not exact reproduction
Input Specification
reference_image(string, required): local path or URL of the style reference imagetarget_content(string, required): new content user wants in the generated imageoutput_mode(string, defaultfriendly): output mode,friendlyorverboseaspect_ratio(string, default16:9): output aspect ratio for generationimage_size(string, default2k): output image size presetmax_attempts(int, default3): maximum generation attempts for meeting layout consistencylayout_threshold(float, default0.75): minimum layout similarity score to accept result
Environment Variable
Dependency installation and API key configuration are for sn-image-base skill.
The minimum environment variables to configure sn-image-base skill running with SenseNova Token Plan:
SN_BASE_URL="https://token.sensenova.cn/v1"
SN_API_KEY="your-api-key"
What ships with it
5 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.
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.
- 2mo ago First seen · 396 lines · 82 tokens per session scan B d3b9d6fa4002
sn-image-imitate is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (6,031 stars, last pushed 3d ago), licensed MIT. It adds 82 tokens to every session and 3,834 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
sn-image-imitate compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| sn-image-imitateOpenSenseNova/SenseNova-Skills | Skill | 6.0k | 3d ago | MIT | B | 82 | Claude Code, Codex |
| skin-creatornetease-youdao/LobsterAI | Skill | 6.2k | yesterday | MIT | A | 48 | Claude Code, Codex |
| proto-bot-getting-startedmakecindy/cindy | Skill | 9.3k | yesterday | Apache-2.0 | A | 43 | Claude Code, Codex |
| proto-bot-opsmakecindy/cindy | Skill | 9.3k | yesterday | Apache-2.0 | A | 38 | Claude Code, Codex |
| canvas-designnetease-youdao/LobsterAI | Skill | 6.2k | yesterday | MIT | A | 59 | Claude Code, Codex |
| mermaid-diagramshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 55 | Claude Code, Codex |
| algolia-autocompletealgolia/skills | Skill | 12 | 7d ago | MIT | A | 185 | Claude Code, Codex |