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-infographicgit 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-infographic)<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-infographic"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-infographic/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-infographic"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-infographic.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 | $0.00057 | $0.08644 |
| Opus 5 | $0.00028 | $0.04322 |
| Sonnet 5 | $0.00011 | $0.01729 |
| Haiku 4.5 | $0.00006 | $0.00864 |
Grade A, and why
sn-infographic 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 4d 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 — 555 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sn-infographic
Info graphic generation scene skill (tier 1), relying on the sn-image-generate, sn-image-recognize, and sn-text-optimize tools provided by sn-image-base (tier 0).
Features:
- Evaluation of prompt quality (auto mode)
- Prompt expansion (force/auto mode)
- Multiple rounds of image generation and VLM review
- Output the best result based on quality ranking
Input Specification
| Parameter | Type | Default Value | Description |
|---|---|---|---|
user_prompt |
string | Required | Original user request. UTF-8 text; may include Markdown, URLs, or structured data. Length bounded only by the underlying LLM context budget. |
max_rounds |
int | 1 |
Maximum number of generation rounds. Valid range: 1–8. When max_rounds=1, the Step 3 VLM review and the early-termination check are both skipped. |
output_mode |
string | friendly |
friendly: one-line content description + rank=1 single image |
verbose: full quality ranking + timing stats + all images (ordered by rank) |
|||
prompts_expand_mode |
string | auto |
auto: evaluate user_prompt quality first; enter Step 2 expansion only when it falls short |
force: skip evaluation, always execute Step 2 expansion |
|||
disable: skip Step 2, use user_prompt directly as expanded_prompt |
|||
aspect_ratio |
string | inferred (16:9) |
Set by Main Agent when the user states an explicit supported ratio (e.g. 16:9 / 9:16, optionally via 宽高比 / 画面比例 / aspect ratio); otherwise left unset and the Worker infers it in Step 0 from user_prompt (orientation / scene cues) per references/runtime-parameters.md. |
image_size |
string | inferred (2k) |
Set by Main Agent when the user states an explicit size (2k / 4k); otherwise the Worker infers it in Step 0 (currently a single option, 2k). 4k is supported when SN_IMAGE_GEN_MODEL=sensenova-u1.5-lite; other models may reject it and the skill surfaces that error. |
What ships with it
60 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.
- references/analysis-framework.md 9.1 KB
- references/base-prompt.md 1.7 KB
- references/evaluation-standard.md 2.6 KB
- references/layout-style-selection.md 7.7 KB
- references/layouts/asymmetry.md 1003 B
- references/layouts/axial-expansion.md 935 B
- references/layouts/bento-grid.md 850 B
- references/layouts/big-typography.md 967 B
- references/layouts/binary-comparison.md 1.3 KB
- references/layouts/breaking-the-grid.md 963 B
- references/layouts/bridge.md 901 B
- references/layouts/center-focus.md 897 B
- references/layouts/chapter-layout.md 933 B
- references/layouts/character-guide.md 1018 B
- references/layouts/circular-flow.md 758 B
- references/layouts/collage-glitch.md 1008 B
- references/layouts/comic-strip.md 845 B
- references/layouts/comparison-matrix.md 903 B
- references/layouts/conflict-contrast.md 1.0 KB
- references/layouts/containerization.md 1011 B
- references/layouts/dashboard.md 775 B
- references/layouts/data-landscape.md 953 B
- references/layouts/deconstruction.md 992 B
- references/layouts/diagonal-composition.md 1.0 KB
- references/layouts/disrupted-flow.md 1009 B
- references/layouts/edge-tension.md 1.1 KB
- references/layouts/editorial-vogue.md 999 B
- references/layouts/emotional-gradient.md 1.0 KB
- references/layouts/f-pattern.md 934 B
- references/layouts/flashback.md 1.0 KB
- references/layouts/four-quadrant-grid.md 1.1 KB
- references/layouts/frame-composition.md 1.0 KB
- references/layouts/full-bleed-image.md 957 B
- references/layouts/full-illustration.md 1.0 KB
- references/layouts/funnel.md 815 B
- references/layouts/gallery-style.md 929 B
- references/layouts/generous-margins.md 1.0 KB
- references/layouts/golden-ratio-split.md 1.0 KB
- references/layouts/hard-alignment.md 961 B
- references/layouts/header-body.md 884 B
- references/layouts/heading-subheading.md 928 B
- references/layouts/hidden-details.md 958 B
- references/layouts/hierarchical-layers.md 1.2 KB
- references/layouts/hub-spoke.md 864 B
- references/layouts/iceberg.md 882 B
- references/layouts/isometric-map.md 828 B
- references/layouts/isometric-tech-stack.md 1.1 KB
- references/layouts/jigsaw.md 844 B
- references/layouts/left-image-right-text.md 833 B
- references/layouts/left-text-right-image.md 815 B
- references/layouts/linear-progression.md 1.2 KB
- references/layouts/luxury-layout.md 898 B
- references/layouts/macro-closeup.md 939 B
- references/layouts/maximalism.md 954 B
- references/layouts/modular-repetition.md 965 B
- references/layouts/multi-directional.md 938 B
- references/layouts/multi-focal.md 1.0 KB
- references/layouts/multi-scale.md 941 B
- references/layouts/nine-grid.md 791 B
- references/layouts/nonlinear-path.md 956 B
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.
- 4d ago Changed 4aee01cd6824
- 9d ago First seen · 555 lines · 57 tokens per session scan A 51fa0c4339f5
sn-infographic is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (5,570 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 8,644 once invoked, about $0.0003 per session on Opus 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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