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-report-format-discoverygit 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-report-format-discovery)<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-report-format-discovery"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-report-format-discovery/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-report-format-discovery"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-report-format-discovery.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 | $0.00045 | $0.00316 |
| Opus 5 | $0.00023 | $0.00158 |
| Sonnet 5 | $0.00009 | $0.00063 |
| Haiku 4.5 | $0.00005 | $0.00032 |
Grade A, and why
sn-report-format-discovery 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 9d 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.
What it actually says
最终形式推荐
根据用户需求确定一个请求级 format 字符串。该字符串和 language 一样只在本次运行上下文中传递，不写入文件。
输入
- 原始研究需求
query - 请求级
language - 用户明确提出的最终形式（如有）
规则
- 用户明确指定最终形式时，优先使用用户的名称。
- 用户未指定时，根据主要阅读任务选择一个简短名称；无法判断时使用
report。 - 常见值包括
report、paper、table、memo、timeline、faq，但这不是封闭枚举。 format只表示最终交付形式，不承载章节、摘要、目录、结构偏好或写作规则；这些要求继续保留在原始 query 中。- 不搜索外部格式规范，不生成候选对象，不创建
format_proposal.json、format.json或任何格式 schema。 - 不替用户修改研究问题、范围、语言或流程模式。
输出
只返回一行：
format: <一个简短的非空字符串>
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.
- 9d ago First seen · 32 lines · 45 tokens per session scan A 067fce61dd4b
sn-report-format-discovery is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (5,570 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 316 once invoked, about $0.0002 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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