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Agent Skill · 研究检索

benchmark-to-brief(基准简报)

benchmark-to-brief 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。

benchmark-to-brief 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 55,679。

总安装 470周安装 19GitHub Stars 公开资料未说明下载 147核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:benchmark-to-brief(基准简报)
来源仓库:https://github.com/postplusai/postplus-skills
仓库路径:skills/benchmark-to-brief
安装命令:
npx skills add https://github.com/postplusai/postplus-skills --skill benchmark-to-brief
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/postplusai/postplus-skills --skill benchmark-to-brief

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

benchmark-to-brief 将已验证的研究结果转化为可执行的规划输入,如 campaign briefs 或 test matrices。适用于策略与创意交接层,连接研究与执行,产出变量控制计划或 hook families。必须基于已存在的研究事实,不能用于 greenfield 头脑风暴。

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。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/benchmark-to-brief

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/postplusai/postplus-skills --skill benchmark-t…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

benchmark-to-brief 怎么安装?

在终端执行 npx skills add https://github.com/postplusai/postplus-skills --skill benchmark-to-brief。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

benchmark-to-brief 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

benchmark-to-brief 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/postplusai/postplus-skills --skill benchmark-to-brief 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

benchmark-to-brief 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

benchmark-to-brief 用的人多吗?

公开数据是累计安装 470 次,近一周安装 19 次,下载 147 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

benchmark-to-brief 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
benchmark-to-brief

基准简报 · 本页

470—执行命令未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Benchmark To Brief

Follow shared release-shell rules in:

  • postplus-shared release-shell rules

Use this skill after research already exists.

This skill is the strategy and creative handoff layer between research and execution. It should consume validated findings and turn them into usable planning inputs before copywriting, production, outreach, or publishing moves forward.

This skill is for converting structured evidence into:

  • campaign briefs
  • concept candidates
  • hook families
  • test matrices
  • variable-control plans

It is not for greenfield brainstorming.

Fact Rule

Everything produced by this skill must be grounded in available evidence.

Allowed evidence sources include:

  • benchmark reports
  • master tables
  • pattern tables
  • strategy tables
  • comment analyses
  • validated performance data

Do not invent:

  • target personas with no source basis
  • hooks that contradict benchmark wording
  • unsupported product claims
  • audience motivations not reflected in data

If the evidence is incomplete, say so explicitly and separate:

  • Observed from sources
  • Inference
  • Open question

Default Workflow

1. Load the smallest sufficient evidence set

Prefer the most structured sources first:

  1. final report
  2. strategy table
  3. pattern table
  4. video master table
  5. comment summaries

Do not read everything by default if the answer is already supported.

Source Selection Rule

Prefer the smallest sufficient evidence set already present in the active project. If the current task clearly belongs to one client or project folder, start there. Do not assume one client folder is the global default for all future work.

When the master table contains shot-level fields, treat them as a stronger source than your own rewrite instincts:

  • videoOpeningLineExact
  • videoClosingLineApprox
  • videoShotTimeline
  • videoSpokenAudioFlow

Those fields should guide the opening shell, information order, pacing, and closing style of any derived concept or script brief.

2. Extract facts before proposing

Always extract:

  • winning lanes
  • repeated hook shells
  • repeated structure types
  • visual format tendencies
  • repeated user-language patterns
  • strong benchmark examples

Before writing concepts, write down what is actually true.

3. Map facts to brief fields

For each concept or brief recommendation, tie it back to:

  • source artifact
  • relevant benchmark ids or examples
  • reason this pattern fits the product

Each concept should answer:

  • what problem is being cut
  • what hook shell is being reused
  • what content lane it belongs to
  • what variable is being tested
  • which research evidence supports it

4. Keep concept scope narrow

Do not generate vague ideas like:

  • "make a productivity video"
  • "do a relatable AI ad"

Prefer:

  • one problem
  • one hook family
  • one format
  • one test variable

5. Preserve benchmark language

When adapting hooks, preserve the source shell whenever possible.

Do not "improve" benchmark phrasing unless the user asks for a variant test.

Good adaptation:

  • benchmark: Here is a Gmail trick I guarantee you didn't know.
  • adapted: Here is a Gmail reply shortcut I guarantee you didn't know.

Bad adaptation:

  • rewriting into abstract brand language
  • replacing concrete pain with generic value claims

Output Shapes

Common outputs for this skill:

  • campaign brief
  • 10 concept candidates
  • hook library
  • lane prioritization
  • AB test matrix

These outputs should be treated as execution inputs, not end-user proof that the underlying research happened. If the upstream research is still fuzzy, thin, or contradictory, stop and surface that gap before turning it into a brief.

Campaign Brief

Include:

  • objective
  • priority lanes
  • persona constraints if supported by data
  • approved hook families
  • prohibited directions
  • variables to test
  • source basis

Concept Candidate

Each concept should include:

  • conceptId
  • problemToCut
  • hookType
  • hookDraft
  • targetLane
  • formatType
  • whyThisFits
  • sourceBasis
  • testVariable

Source Basis Requirement

Every concept list should include a sourceBasis section.

Example:

  • final report says workflow is the top-priority lane
  • final report says high-value language includes Stop switching tabs
  • pattern table shows gmail_fix_or_hidden_setting is high fit
  • master table contains strong Gmail pain/tutorial examples

If you cannot cite source basis, do not present the idea as recommended.

Downstream Handoff Rule

This skill should usually hand off to one of these next layers:

  • script, concept, or production planning
  • asset generation workflows
  • content packaging workflows
  • outreach or publishing only when the content has already been turned into approved execution-ready material

Do not hand raw research directly into publishing from this skill. First make the execution object explicit: brief, concept list, hook set, script, or approved copy.

Project-Specific Guidance(if user specificly state a project preference when using this skills, wirting down and memory it)

Failure Mode

Stop and state the gap if:

  • the available data is too thin
  • strong benchmarks do not exist for the requested direction
  • the user asks for a claim the evidence does not support

Then offer:

  • the closest evidence-backed option
  • what additional research would be needed

平台分布

Codex

39.58%
按下载量换算58

Claude

30.91%
按下载量换算45

Cursor

17.11%
按下载量换算25

Gemini CLI

10.14%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/postplusai/postplus-skills --skill benchmark-to-brief 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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