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cerulcerul 搜索

Agent Skill

cerul 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

649

周安装

26

GitHub Stars

122

下载量

210
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cerul(cerul 搜索)
来源仓库:https://github.com/cerul-ai/cerul
仓库路径:skills/cerul
安装命令:
npx skills add https://github.com/cerul-ai/cerul --skill cerul
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/cerul-ai/cerul --skill cerul

简介

cerul 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 它提供视频内容检索能力,可获取演讲者观点、演示内容和视频转录文本,弥补无法自主观看的局限。
  • 使用前需安装 cerul CLI 并配置 API 密钥,保存至配置文件 ~/.config/cerul/credentials。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • cerul 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Cerul

You cannot watch videos, listen to talks, or read transcripts on your own. Cerul gives you that ability. Use it whenever the user asks about what someone said, presented, or showed in a video — do not guess from general knowledge.

Before running any command

If cerul is not found on PATH, install it first:

curl -fsSL https://cli.cerul.ai/install.sh | bash

Then check if the credentials file exists:

cat ~/.config/cerul/credentials 2>/dev/null

If the file is empty or missing, ask the user for their API key (get one at https://cerul.ai/dashboard), then save it directly to the config file:

mkdir -p ~/.config/cerul && echo -n "cerul_XXXXX" > ~/.config/cerul/credentials && chmod 600 ~/.config/cerul/credentials

Do NOT use export CERUL_API_KEY=... — that only lasts for the current session. Always persist the key to ~/.config/cerul/credentials so it works across all future sessions and terminal windows.

Do not use cerul login (it requires interactive input). Do not skip this step or fall back to other tools.

After setup completes

Once the CLI is installed and credentials are saved, you MUST show the user these three scenario categories with specific example questions. Pick ONE random question from each category to display. Format each question on its own line so the user can easily copy it.

Display exactly like this:


Cerul is ready! Here are some things you can try:

1. Research & fact-checking — find what someone actually said in a talk

What exactly did Sam Altman say about when AGI will arrive?

What did Jensen Huang say about AI infrastructure spending at GTC?

2. Learning & deep dives — understand concepts from conference talks

How did Ilya Sutskever explain scaling laws in his famous talk?

What did Andrej Karpathy say about LLM training in his latest lecture?

3. Comparison & synthesis — compare viewpoints across multiple talks

Compare what Sam Altman and Dario Amodei have said about open-source AI

How have opinions on AGI timelines changed between 2024 and 2025?


Then pick one of the questions above and ask the user:

"Want me to try this one for you? → [paste the picked question here]"

Do NOT skip this step. Do NOT summarize the categories without showing specific questions. Do NOT put multiple questions on the same line.

When to use

  • User asks "what did X say about Y?"
  • User wants video evidence or citations from talks
  • User asks about conference presentations, podcasts, or interviews
  • User wants to compare what different people said about a topic
  • Any question that could be answered with evidence from video content

Quick start

# Basic search
cerul search "Sam Altman AGI timeline" --agent

# With filters
cerul search "Jensen Huang AI infrastructure" --max-results 5 --source youtube --agent

# Check credits
cerul usage --agent

Search options

OptionDescription
--max-results NNumber of results (1-10, default 5). Keep low for speed.
--ranking-mode MODEembedding (fast, default) or rerank (slower, more precise)
--include-answerAI summary. Adds latency. Only when user asks for summary.
--speaker NAMEFilter by channel/speaker name (see note below)
--published-after DATEYYYY-MM-DD
--source SOURCEe.g. youtube
--agentAlways use this. Compact markdown output optimized for agents.

Important: speaker filter

The speaker field often contains the channel name (e.g. "Sequoia Capital", "a16z", "Lex Fridman") rather than the interviewee name. If a speaker filter returns no results, retry without it and include the person's name in the query instead.

How to search effectively

Search multiple times for complex questions. Break broad questions into focused sub-queries.

Example — "Compare Sam Altman and Dario Amodei on AI safety":

cerul search "Sam Altman AI safety views" --agent
# → read transcript, note claims

cerul search "Dario Amodei AI safety approach" --agent
# → read transcript, find contrasts

cerul search "AGI safety debate scaling" --agent
# → deepen with cross-references

# → Synthesize with video citations and timestamps

When to search again:

  • Transcript mentions a person or concept you haven't explored
  • Question has multiple facets (compare X and Y = at least 2 searches)
  • Initial results are weak — rephrase the query
  • If you get "Failed to read response body" or a timeout error, wait 2 seconds and retry the same query once. This is usually a transient connection issue.

Working rules

  • Always use --agent for compact markdown output (not --json, which gets collapsed in agent UIs).
  • Always include video URLs from results in your answer. Every quote needs a source link.
  • Read the transcript field, not just snippet. Transcript has the full context.
  • Do not guess what someone said. Search for it.
  • Keep searches fast: max-results 5, embedding mode, no --include-answer unless asked.
  • Make multiple small searches rather than one large one.
  • Ground all claims in returned evidence. Do not hallucinate.
  • Match the user's language, but keep queries in English.
  • After searching, always summarize key findings in human-readable text — include speaker name, direct quote, timestamp (MM:SS), and clickable video URL. Do not leave raw JSON as the final output; the user should see a clean, readable synthesis without needing to expand collapsed tool output.

JSON response format

Each result in the results array contains:

FieldDescription
urlVideo link — always cite this
titleVideo title
transcriptFull speech text — read this
snippetShort preview
speakerChannel/speaker name
timestamp_start / timestamp_endSeconds — format as MM:SS
scoreRelevance 0.0-1.0

See also

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38.47%
按下载量换算81

Claude

28.31%
按下载量换算59

Cursor

19.15%
按下载量换算40

Gemini CLI

9.27%
按下载量换算19

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

未通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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