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-prepare-citationsgit 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-prepare-citations)<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-prepare-citations"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-prepare-citations/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-prepare-citations"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-prepare-citations.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 | $0.00040 | $0.00709 |
| Opus 5 | $0.00020 | $0.00354 |
| Sonnet 5 | $0.00008 | $0.00142 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
sn-prepare-citations 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
sn-prepare-citations（引用渲染）
处理 sn-deep-research 的 stitched.md：从 evidence.json 收集 sources[]，将正文中的 [^source_id] 转换为 [N] 编号引用，插入 L0/TOC，并追加参考文献。
推荐用法（sn-deep-research v2）
python3 scripts/prepare_citations.py \
--report <report_dir>/stitched.md \
--evidence <report_dir>/sub_reports/d1.evidence.json <report_dir>/sub_reports/d2.evidence.json \
--outline <report_dir>/outline.json \
--output <report_dir>/report.md
参数
| 参数 | 说明 |
|---|---|
--report |
输入 markdown。sn-deep-research 中通常是 stitched.md |
--evidence |
全部 d*.evidence.json，用于收集 source 元数据和修复 claim-id 泄漏 |
--outline |
可选但推荐。提供 L0、TOC 和标题结构信息 |
--output |
输出 markdown。sn-deep-research 中通常是 report.md |
--no-l0 |
关闭 L0 摘要层渲染 |
--no-toc |
关闭 TOC 渲染 |
处理逻辑
- 从所有 evidence.json 的
sources[]收集引用元数据。 - 按 URL 归一化去重，同 URL source 合并为同一编号。
- 检测
[^dN.cM]claim-id 引用泄漏；能映射到 claim evidence 时替换为对应source_id，不能映射则报告 unresolved。 - 扫描正文中的
[^source_id]，按首次出现顺序分配编号。 - 替换
[^source_id]→[N]，移除脚注定义行。 - 根据 outline 插入或校准 L0 / TOC。
- 追加
## 参考文献。 - 写出
report.md和同目录citations.json。 - stdout 输出结构化 JSON，包含 orphan citations、claim-id leakage、TOC 和 L0 状态。
控制器处理要求
orphan_citations非空：不要交付，回 writer/stitcher 修正引用或删除 unsupported 内容。claim_id_leakage.unresolved非空：不要交付，回 writer 修正[^dN.cM]。claim_id_leakage.resolved非空但 unresolved 为空：可以继续，但记录为警告；writer 后续应直接输出[^source_id]。
旧兼容模式
不传 --outline / --output 时，脚本会覆写 --report 指向的文件，仅做引用编号和参考文献追加。sn-deep-research 正常流程不使用该模式。
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.
- 9d ago First seen · 51 lines · 40 tokens per session scan A 442ee2f695b5
sn-prepare-citations is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (5,570 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 709 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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