Rapid 研究
- 作者仓库星标 3
- 作者仓库 FFT_nano
Rapid Research Loop
When not to use this skill
- Do not use when another skill is a better direct match for the task.
- Do not use when the request is outside this skill's scope.
When to use it
- The user needs a structured briefing, comparison table, FAQ, or short memo derived from multiple sources.
- The task explicitly says "research", "investigate", "summarize", or requests citations/links.
- Another agent already gathered raw notes and you must distill them.
Guardrails
- Always collect at least three independent sources unless the user provided authoritative material.
- Keep a running source log (see
templates/source_log_template.md) before drafting a summary. - Mark uncertainty or missing data instead of fabricating details.
- Prefer deterministic helper scripts for parsing (CSV/JSON) before reasoning about them.
Step-by-step workflow
- Clarify the question – restate the core decision or comparison criteria in one paragraph.
- Plan the evidence sprint – list the minimum facts you must confirm; group them by sub-question.
- Collect evidence – for each fact, gather a citation with date, outlet, and a one-sentence pull quote.
- Grade sources – label each entry with
primary,secondary, orspeculative. - Synthesize – transform the evidence table into:
- a 3-bullet executive summary,
- a risk/unknowns list,
- and next-step recommendations.
- Package output – use
templates/research_brief_template.mdas the outline and include the source log verbatim at the end.
Output template
## TL;DR (3 bullets)
- ...
## Key Findings
1. Finding + cite
2. ...
## Risks / Unknowns
- ...
## Next Best Actions
- ...
## Source Log
| Source | Date | Key Fact | Link | Confidence |
| --- | --- | --- | --- | --- |
Web Search with ddgs
Use ddgs (DuckDuckGo) for free, no-API-key web search. Available as CLI:
ddgs text -q "search query" -m 5 # text search, 5 results
ddgs news -q "search query" -m 5 # news search
ddgs images -q "search query" -m 5 # image search
Example research workflow:
# Search for evidence
ddgs text -q "OpenAI GPT-5 release date" -m 3
ddgs text -q "Claude 4 release date" -m 3
# Extract key facts from results
# (results include title, href, body/snippet)
ddgs is pre-installed in the pi container runtime. Use bash to invoke it.
- 流狐分类
- AI 智能
- 作者声明 Agent
- 未找到明确声明;不据此推断已兼容或已测试
- 静态检查
- 88 / 100 · 启发式扫描,不代表运行安全
- 作者 / 版本 / 许可
- @0-CYBERDYNE-SYSTEMS-0 · 未声明 license
- 流狐 Token 估算
- 低消耗
- 流狐接入估算
- 需简单配置
- 是否需要外部 API Key
- 需要 · Vendor-specific
- 检测到的系统要求
- 未声明
- 底层运行要求
- 未声明
- 检测到的文件与系统行为
-
- 只读
- 允许写入 / 修改
- Shell 执行
- 检测到的网络行为
- 允许外网请求
- 安装命令数
- 无(仅作为资料)
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
作者没有在当前 SKILL.md 中定义固定输出样例。 Do not use when another skill is a better direct match for the task. Do not use when the request is outside this skill's scope.
The user needs a structured briefing, comparison table, FAQ, or short memo derived from multiple sources. The task explicitly says "research", "investigate", "summarize", or requests citations/links. Another agent already gathered raw notes and you must…
Always collect at least three independent sources unless the user provided authoritative material. Keep a running source log (see templates/sourcelogtemplate.md) before drafting a summary. Mark uncertainty or missing data instead of fabricating details.
Clarify the question – restate the core decision or comparison criteria in one paragraph. Plan the evidence sprint – list the minimum facts you must confirm; group them by sub-question. Collect evidence – for each fact, gather a citation with date, outlet, and…
Output template
...
# Rapid Research Loop
## When not to use this skill
- Do not use when another skill is a better direct match for the task.
- Do not use when the request is outside this skill's scope.
## When to use it
- The user needs a structured briefing, comparison table, FAQ, or short memo derived from multiple sources.
- The task explicitly says "research", "investigate", "summarize", or requests citations/links.
- Another agent already gathered raw notes and you must distill them.
## Guardrails
1. Always collect at least three independent sources unless the user provided authoritative material.
2. Keep a running source log (see `templates/source_log_template.md`) before drafting a summary.
3. Mark uncertainty or missing data instead of fabricating details.
4. Prefer deterministic helper scripts for parsing (CSV/JSON) before reasoning about them.
## Step-by-step workflow
1. **Clarify the question** – restate the core decision or comparison criteria in one paragraph.
2. **Plan the evidence sprint** – list the minimum facts you must confirm; group them by sub-question.
3. **Collect evidence** – for each fact, gather a citation with date, outlet, and a one-sentence pull quote.
4. **Grade sources** – label each entry with `primary`, `secondary`, or `speculative`.
5. **Synthesize** – transform the evidence table into:
- a 3-bullet executive summary,
- a risk/unknowns list,
- and next-step recommendations.
6. **Package output** – use `templates/research_brief_template.md` as the outline and include the source log verbatim at the end.
## Output template
```
## TL;DR (3 bullets)
- ...
## Key Findings
1. Finding + cite
2. ...
## Risks / Unknowns
- ...
## Next Best Actions
- ...
## Source Log
| Source | Date | Key Fact | Link | Confidence |
| --- | --- | --- | --- | --- |
… 作者原文负责流程事实;流狐只索引当前章节、要点、文件与命令。
章节 -> When not to use this skill → When to use it → Guardrails → Step-by-step workflow → Output template → TL;DR (3 bullets)
要点 -> Clarify the question · Plan the evidence sprint · Collect evidence · Grade sources · Synthesize · Package output · ddgs is pre-installed in the pi container runtime.
文件/命令 -> templates/sourcelogtemplate.md · primary · secondary · speculative · templates/researchbrieftemplate.md · ddgs
内容 SHA-256 -> d0a1dce59082
方法与流程
适用与边界
原文中的明确线索
templates/sourcelogtemplate.md、primary、secondary、speculative、templates/researchbrieftemplate.md、ddgs