GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
用于撰写或组织研究报告结构。按读者认知任务（全景/对比/调查/时序）和领域惯例（学术/医疗/法律/政策）选择报告模板. An agent skill from OpenSenseNova/SenseNova-Skills.
Install Sn Research Report
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-research-report -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-research-report --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sn-research-report .claude/skills/sn-research-report && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "sn-research-report" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-research-report into .claude/skills/sn-research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-research-report", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-research-reportType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-research-report -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-research-report --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sn-research-report .agents/skills/sn-research-report && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sn-research-report" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-research-report into .agents/skills/sn-research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-research-report", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-research-report -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-research-report --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sn-research-report .cursor/skills/sn-research-report && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sn-research-report" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-research-report into .cursor/skills/sn-research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-research-report", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OpenSenseNova/SenseNova-Skills.git --path skills/sn-research-report--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-research-report -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-research-report --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sn-research-report .gemini/skills/sn-research-report && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sn-research-report" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-research-report into .gemini/skills/sn-research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-research-report", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-research-reportInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-research-report -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sn-research-report .github/skills/sn-research-report && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sn-research-report" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-research-report into .github/skills/sn-research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-research-report", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-research-report -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-research-report --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sn-research-report .opencode/skills/sn-research-report && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sn-research-report" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-research-report into .opencode/skills/sn-research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-research-report", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
sn-research-report- GitHub stars
- 5.7k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 236 words
- Files
- 1
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- MIT
At a glance
用于撰写或组织研究报告结构。按读者认知任务（全景/对比/调查/时序）和领域惯例（学术/医疗/法律/政策）选择报告模板. An agent skill from OpenSenseNova/SenseNova-Skills.
- Tasks that involve Deep research
- SKILL.md covers 模板选择, 基础结构一：全景叙述型, 基础结构二：对比选型型 and 基础结构三：实体调查型, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Sn Research Report is an agent skill from OpenSenseNova/SenseNova-Skills. 用于撰写或组织研究报告结构。按读者认知任务（全景/对比/调查/时序）和领域惯例（学术/医疗/法律/政策）选择报告模板。
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Deep research. The repository describes itself as: Modular SenseNova skills for building AI-powered office assistants and productivity workflows. The licence is MIT.
When your agent uses it
- Tasks that involve Deep research
Example prompts
- “/sn-research-report”
What it can do on your machine
Read from SKILL.md and the folder at commit 7838651. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are dot).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Sn Research Report loads about 1.2k tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 236 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from OpenSenseNova/SenseNova-Skills at commit 7838651, republished under its MIT licence (© OpenSenseNova). 236 words, ~1,229 tokens.
Download SKILL.mdSave it as
.claude/skills/sn-research-report/SKILL.md (or your agent's skills folder).- name
- sn-research-report
- description
- 用于撰写或组织研究报告结构。按读者认知任务（全景/对比/调查/时序）和领域惯例（学术/医疗/法律/政策）选择报告模板。
sn-research-report（研究报告结构模板）
报告结构的决定因素是读者需要完成的认知任务，不是研究的信息领域。同一批信息，为做决策而读和为建立全貌而读，需要完全不同的组织方式。
模板选择
digraph select {
"研究任务" [shape=doublecircle];
"领域专属?" [shape=diamond];
"主认知任务?" [shape=diamond];
"学术综述" [shape=box];
"医疗健康" [shape=box];
"法律研究" [shape=box];
"政策分析" [shape=box];
"全景叙述" [shape=box];
"对比选型" [shape=box];
"实体调查" [shape=box];
"时序追踪" [shape=box];
"研究任务" -> "领域专属?";
"领域专属?" -> "学术综述" [label="学术综述"];
"领域专属?" -> "医疗健康" [label="医疗方案报告"];
"领域专属?" -> "法律研究" [label="法律备忘录"];
"领域专属?" -> "政策分析" [label="政策简报"];
"领域专属?" -> "主认知任务?" [label="否"];
"主认知任务?" -> "全景叙述" [label="了解全貌"];
"主认知任务?" -> "对比选型" [label="比较/选择"];
"主认知任务?" -> "实体调查" [label="深挖某对象"];
"主认知任务?" -> "时序追踪" [label="还原事件"];
}领域专属触发条件：最终产出是学术综述、医疗方案报告、法律备忘录或政策简报，且读者对该类文档有强烈格式预期。商业/投资场景下涉及医疗或法律内容，优先按认知任务选模板，再叠加领域术语惯例。
复合意图处理：主意图决定整体框架，次意图压缩为一个章节。例如"先了解行业再评估某公司"→主意图是实体调查（论点驱动式），全景内容压缩为"行业背景"章节，不重复建立完整全景框架。
基础结构一：全景叙述型
适用：行业研究、可行性研究、技术趋势综述
读者认知任务：建立对一个空间的完整心智地图
| 章节 | 必须/可选 | 说明 |
|---|---|---|
| 摘要 | 必须 | 3-5 句，含关键结论和核心数据点 |
| 背景与现状 | 必须 | 界定研究范围，说明当前格局和发展阶段 |
| [核心维度 1-N] | 必须 | 按研究维度逐一展开，每维度自成小节 |
| 综合分析 | 必须 | 跨维度关联与洞察，不是各维度摘要 |
| 结论与展望 | 必须 | 基于证据的结论，标注确定性程度 |
| 附录 | 可选 | 数据表格、方法说明 |
可行性研究变体：在"综合分析"前插入"财务测算"章节，"结论与展望"改为"可行性判断（Go / No-Go / 有条件 Go）"，明确列出判断依据和关键假设。
基础结构二：对比选型型
适用：竞品分析、技术选型、消费决策
读者认知任务：在多个选项中做出有据可查的决策
| 章节 | 必须/可选 | 说明 |
|---|---|---|
| 摘要与推荐 | 必须 | 直接给出推荐结论，一句话说明核心理由 |
| 评估背景 | 必须 | 需求场景、约束条件、评估维度定义及权重 |
| 选项概览 | 必须 | 各选项简介，说明各自定位 |
| 对比矩阵 | 必须 | 表格：行=评估维度，列=各选项，必须有 |
| 逐维度分析 | 必须 | 矩阵无法承载的定性分析，按维度逐一展开 |
| 综合建议 | 必须 | 针对不同场景/需求的差异化建议 |
| 风险与局限 | 可选 | 推荐选项的已知缺陷，便于读者预判 |
子类差异：
| 子类 | 特有章节或要求 |
|---|---|
| 竞品分析 | 评估背景加"市场格局"（各选项市占/定位）；建议部分增加战略含义 |
| 技术选型 | 对比矩阵加"迁移成本/实施风险"行；建议部分输出 ADR（架构决策记录）格式 |
| 消费决策 | 省略战略维度；建议部分针对用户具体使用场景个性化 |
基础结构三：实体调查型
适用：尽职调查、投资研究、人物/机构背景调查
读者认知任务：全面了解某一对象，形成综合判断
根据研究目的选择三种子结构之一：
3a. 系统清单式（尽职调查）
| 章节 | 说明 |
|---|---|
| 执行摘要 | 重大发现 + 关键风险 + 综合建议，可独立阅读 |
| 业务与运营审查 | 商业模式、收入结构、运营状况 |
| 财务审查 | 报表分析、现金流、债务结构 |
| 法律审查 | 合规状态、合同、潜在诉讼 |
| 团队审查 | 核心成员背景、激励结构、稳定性 |
| 重大发现汇总 | 红旗事项（Red Flags）逐条列出，标注严重程度 |
| 建议 | 交易条件建议，或中止依据 |
3b. 论点驱动式（投资研究）
| 章节 | 说明 |
|---|---|
| 投资评级与核心逻辑 | 评级（Buy/Hold/Sell）+ 3条核心投资逻辑 |
| 公司与行业概况 | 业务描述、市场定位、竞争格局 |
| 财务分析 | 历史表现、关键指标趋势、质量判断 |
| 估值分析 | 估值方法、目标价区间、敏感性分析 |
| 风险因素 | 下行风险逐条列出，标注影响程度和发生概率 |
| 投资建议 | 建议时间窗口和仓位逻辑 |
3c. 叙事式（人物/机构背景调查）
| 章节 | 说明 |
|---|---|
| 基本信息 | 身份、角色、核心标签 |
| 经历与成就 | 时间线叙述，重点事件加粗 |
| 关联网络 | 关键关系、合作伙伴、组织归属 |
| 争议与风险点 | 已知负面信息，标注来源可靠性 |
| 综合评价 | 结合上述信息的综合判断，标注确定性 |
基础结构四：时序追踪型
适用：热点事件、危机追踪、政策/监管变化历程
读者认知任务：还原事件全貌，理解影响与走向
| 章节 | 必须/可选 | 说明 |
|---|---|---|
| 摘要 | 必须 | 事件一句话定性 + 当前状态 |
| 事件时间线 | 必须 | 表格：时间 / 事件 / 关键行动方，必须有 |
| 各方立场 | 必须 | 主要利益相关方各自立场，分列不混叙 |
| 影响分析 | 必须 | 已发生的影响分类列出，标注影响程度 |
| 后续走向 | 必须 | 待观察的关键节点和不同情景下的走向 |
| 信源说明 | 可选 | 争议性事实的信息来源可靠性说明 |
领域专属模板
学术综述
摘要（Abstract）
引言（研究背景、综述范围、本文结构）
研究脉络（按时间线或流派划分的文献梳理）
方法论对比（不同研究方法的优劣分析）
核心发现综合（跨文献的共识与争议）
研究空白与展望
结论
参考文献（学术引用格式）特殊要求：每条关键结论必须指向具体文献；争议点必须呈现各方代表性文献；不得给出文献中未明确支持的结论。
医疗健康
结构化摘要（背景 / 目的 / 方法 / 结果 / 结论）
疾病或干预概述
证据综述（分级呈现）
- A级：RCT 或系统综述支撑
- B级：队列研究或权威指南
- C级：专家意见或病例报告
临床应用建议
特殊人群注意事项（老人/儿童/妊娠/合并症）
局限性与不确定性
参考文献特殊要求：所有建议必须标注证据等级（A/B/C）；涉及药物须注明适应症和禁忌症；不确定内容须明确标注，不得暗示确定性。
法律研究
遵循 IRAC 框架：
法律问题（Issue）：清晰陈述待回答的法律问题
适用法规（Rule）：相关法律条文、司法解释、判例
法律分析（Analysis）：将事实套入法规，逐条展开
结论（Conclusion）：明确的法律意见，标注确定性程度
附录（可选）：相关条文全文、参考判例摘要特殊要求：明确标注司法管辖区；引用法规注明版本和生效日期；不确定性须明确说明，不得给出超出证据的确定性意见。
政策分析
执行摘要（政策核心 + 主要建议，须可独立阅读）
政策背景（问题界定、现状、历史沿革）
政策内容解析（核心条款、目标、实施机制）
影响评估（受影响群体、经济/社会影响、国际比较）
利益相关方分析（各方立场与博弈）
建议（针对目标受众的具体行动建议）
参考依据特殊要求：执行摘要须可独立阅读；建议部分针对不同受众（企业/政府/个人）差异化呈现。
微观格式规则
宏观结构确定后，每个信息块的格式按信息类型独立决定：
| 信息类型 | 应使用的格式 | 禁止 |
|---|---|---|
| 多对象多属性对比 | 表格（强制） | 分段落逐一描述 |
| 时间序列事件 | 时间线表格或有序列表 | 散文叙述混排 |
| 有序步骤/流程 | 有序列表（1. 2. 3.） | 无序列表或段落 |
| 并列要点（≤5条） | 无序列表 | 长段堆砌 |
| 因果推导/复杂分析 | 段落叙述 | 强行拆成 bullet |
| 关键数字/指标 | 加粗或表格 | 埋入段落中间 |
| 证据等级/评级 | 标签标注（A级 / 🔴 / Buy） | 仅用文字描述 |
| 市场份额/占比分布 | Mermaid pie | 纯文字罗列百分比 |
| 多实体关系/产业链/流程 | Mermaid graph/flowchart | 文字描述 A→B→C |
| 事件时间线（有明确节点） | Mermaid timeline | 纯文字编年 |
| 趋势数据（有多个数据点） | Mermaid xychart-beta | 只说"呈上升趋势" |
| 概念性场景/全景/架构示意 | AI 生图（sn-image-base skill） | 用 Mermaid 画概念图 |
执行纪律
必须做到：
- 摘要必须可独立阅读，读者无需看完全文即可获得核心结论
- 对比选型型必须输出对比矩阵表格，不接受纯文字的并列描述各选项
- 所有结论标注确定性程度（"已确认" / "可能" / "存在争议"）
- 复合意图下，次意图内容压缩为一个章节，不重复建立完整框架
- 领域专属模板下，严格遵循对应格式惯例，不混入其他结构
禁止：
- 对所有场景使用同一套通用结构，必须选择上述模板之一
- 把对比矩阵拆成多段文字分别描述各选项
- 结论部分只做信息罗列，不给判断
- 同一事实在多个章节重复出现
- 为凑篇幅在摘要中复述正文，或在结论中复述摘要
© OpenSenseNova, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/sn-research-report of OpenSenseNova/SenseNova-Skills.
Open the folder on GitHubat commit 7838651
Compare with similar skills
Sn Research Report next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sn Research Report this skillOpenSenseNova/SenseNova-Skills | 5.7k | — | ~1.2k | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Deep Research WorkflowTokenRhythm/opensquilla | 7.1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Deep Researchsanjay3290/ai-skills | 432 | 9 repos | ~683 | Automated safety check: Notes | Apache-2.0 | |
| Horizontal-Vertical Deep ResearchKKKKhazix/khazix-skills | 21k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Academic Research PipelineImbad0202/academic-research-skills | 51k | — | ~15k | Automated safety check: Pass | Custom licence |
Similar skills
Deep Research Workflow
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Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.
Deep Research
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Horizontal-Vertical Deep Research
KKKKhazix/khazix-skills
Runs a two-axis deep research method on a product, company, concept or person: its full history over time, compared with peers today, delivered as a typeset PDF report.
Academic Research Pipeline
Imbad0202/academic-research-skills
Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.
Academic Research Suite for Codex
Imbad0202/academic-research-skills-codex
A router skill that sends academic work such as literature reviews, drafting, citation checks, peer review and revision to the right workflow in the ARS suite.
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Related
Categories
Questions about Sn Research Report
What does Sn Research Report do?
用于撰写或组织研究报告结构。按读者认知任务（全景/对比/调查/时序）和领域惯例（学术/医疗/法律/政策）选择报告模板. An agent skill from OpenSenseNova/SenseNova-Skills. Sn Research Report is an agent skill from OpenSenseNova/SenseNova-Skills.
When should I use Sn Research Report?
Sn Research Report fits situations like: tasks that involve Deep research.
How do I install Sn Research Report in Claude Code?
Run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-research-report -a claude-code`. Or copy the skill folder (skills/sn-research-report in OpenSenseNova/SenseNova-Skills) into .claude/skills/sn-research-report in your project. Claude Code loads it when a task matches its description.
How do I install Sn Research Report in Codex?
Run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-research-report -a codex`. Or copy the skill folder (skills/sn-research-report in OpenSenseNova/SenseNova-Skills) into .agents/skills/sn-research-report in your project. Codex loads it when a task matches its description.
Can I use Sn Research Report in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-research-report -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sn-research-report, .gemini/skills/sn-research-report, .github/skills/sn-research-report and .opencode/skills/sn-research-report in your project.
What does Sn Research Report need to run?
SKILL.md names no scripts, command-line tools or credentials: Sn Research Report is instructions for the agent only.
Does Sn Research Report access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Sn Research Report safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Sn Research Report use?
Sn Research Report is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Sn Research Report use?
About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Sn Research Report?
Skills that share tags, products or a category with Sn Research Report: GitHub Deep Research (bytedance/deer-flow, 84k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), Deep Research (sanjay3290/ai-skills, 432 stars) and Horizontal-Vertical Deep Research (KKKKhazix/khazix-skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sn Research Report?
OpenSenseNova (a GitHub organization) maintains it in OpenSenseNova/SenseNova-Skills, which has 5,749 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on October 9, 2026.
Source: OpenSenseNova/SenseNova-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.