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review-audit审查审核

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

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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:review-audit(审查审核)
来源仓库:https://github.com/motion-team/creative-strategy-skills
仓库路径:skills/review-audit
安装命令:
npx skills add https://github.com/motion-team/creative-strategy-skills --skill review-audit
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/motion-team/creative-strategy-skills --skill review-audit

简介

review-audit 用于安全审计、权限检查和常见漏洞排查辅助。

  • 适合梳理敏感配置、分析鉴权逻辑或生成安全复核清单。
  • 通过 npx 命令从 GitHub 仓库安装并使用该技能。
  • 使用时不能直接采信输出结果,尤其涉及密钥或生产系统时应谨慎。
  • 建议先确认最小权限、脱敏方式及操作边界后再执行相关任务。

SKILL.md

Review Audit

This system mines positive customer reviews to extract the insights that make ad copy actually work — the real language, real pain, real moments, and real transformations that customers experienced. The output feeds directly into creative strategy and hook writing.

The goal is not to summarize reviews. The goal is to find the raw material for ads.


What You Need Before Starting

Reviews can be provided in any format:

  • Pasted directly into the chat
  • CSV or spreadsheet upload
  • Copy/pasted from a document

If multiple products are present in the review set, identify them before beginning. All output is separated by product.

If the format is unclear or product attribution is ambiguous, ask before proceeding.


Step 1: Group by Product

If the brand sells multiple products, sort all reviews by product first. Every subsequent step runs separately per product.

If all reviews are for a single product, skip grouping and proceed.


Step 2: Score Review Quality (1–5)

Before analysis, score every review for quality. This determines what gets analyzed and what gets discarded.

ScoreWhat it looks like
1Garbage — gibberish, swear words, 2–3 meaningless words, zero signal ("great product", "love it", "👍")
2Low signal — very short, vague, no specific detail or emotion
3Moderate — mentions the product, some specificity, but no vivid detail or emotional depth
4High quality — specific, describes a real experience, references a before/after or a feeling
5Gold — long, emotional, vivid, paragraph-level detail; the customer was so moved they wrote an essay about it

Score 5 reviews are the priority. They contain the most usable language and the deepest insight.


Step 3: Filter

Discard all reviews scored 1. Do not include them in analysis.

Analyze scores 2–5, with emphasis on 4s and 5s. Low-scoring reviews (2–3) can contribute to pattern identification but should not be the source of pulled quotes.


Step 4: Extract Insights by Bucket

Run this analysis separately for each product. Within each bucket, group similar insights together and write a brief summary of the pattern. Then pull the best word-for-word quotes that exemplify it.

Do not editorialize the quotes. Pull them exactly as written.


Bucket 1: Pain Points

*What problem were they experiencing before they found this product?*

Look for: descriptions of the problem they had, how long they'd had it, what they'd tried before, how it affected their life, the emotional weight of living with it.

For each pain theme identified:

  • Name the theme
  • Write a 2–3 sentence summary of the pattern across reviews
  • Flag the strongest quotes for the swipe file

Bucket 2: Trigger Moments

*What finally made them buy?*

Look for: the specific moment, event, or realization that pushed them over the edge. This is the thing that turned a maybe into an add-to-cart. It could be a life event (wedding, diagnosis, vacation), a recommendation (friend, doctor, TikTok), hitting a breaking point, or running out of patience with other solutions.

For each trigger theme identified:

  • Name the theme
  • Write a 2–3 sentence summary of the pattern
  • Flag the strongest quotes for the swipe file

Bucket 3: Objections Before Purchasing

*What almost stopped them from buying?*

Look for: skepticism they mention having had, comparisons to other products they'd tried, price hesitation, disbelief that this would actually work, fear of wasting money again.

Note: In positive reviews, objections are almost always mentioned in past tense — "I was skeptical but..." or "I almost didn't try it because..." These are gold for objection-handling ad copy.

For each objection theme identified:

  • Name the theme
  • Write a 2–3 sentence summary of the pattern
  • Flag the strongest quotes for the swipe file

Bucket 4: Transformations

*What changed for them after using the product?*

Look for: the specific result they experienced, how their life is different now, the emotional shift (confidence, relief, freedom, pride), and — most importantly — how they describe the transformation in their own words. The more specific and visceral, the better.

For each transformation theme identified:

  • Name the theme
  • Write a 2–3 sentence summary of the pattern
  • Flag the strongest quotes for the swipe file

Bucket 5: Standout Language & Ad-Ready Phrases

*Exact language worth stealing for ads.*

This bucket is different from the others. It is not organized by theme — it is a curated collection of the most vivid, emotionally charged, specific, and scroll-stopping phrases pulled from across all buckets. These are the lines that made you stop while reading. The ones that don't need to be rewritten. The ones a copywriter would highlight and build an ad around.

Pull these verbatim. Note which product they're from.

What to look for:

  • Unusually specific descriptions of pain or transformation
  • Phrases that capture an emotion in a way you couldn't have written yourself
  • Before/after language that is visceral and concrete
  • Lines that could work as a hook with zero editing
  • Anything that made you feel something while reading it

Output Format

Produce a separate full output for each product. Structure:

─────────────────────────────────────
PRODUCT: [Product Name]
Reviews analyzed: [X] | Discarded (score 1): [X]
─────────────────────────────────────

BUCKET 1: PAIN POINTS

[Theme Name]
Summary: [2–3 sentences on the pattern]

[Theme Name]
Summary: [2–3 sentences on the pattern]

---

BUCKET 2: TRIGGER MOMENTS

[Theme Name]
Summary: [2–3 sentences on the pattern]

---

BUCKET 3: OBJECTIONS BEFORE PURCHASING

[Theme Name]
Summary: [2–3 sentences on the pattern]

---

BUCKET 4: TRANSFORMATIONS

[Theme Name]
Summary: [2–3 sentences on the pattern]

---

BUCKET 5: STANDOUT LANGUAGE & AD-READY PHRASES

"[Exact quote]"
"[Exact quote]"
"[Exact quote]"
[etc.]

─────────────────────────────────────

All word-for-word quotes are collected in Bucket 5. Do not scatter quotes throughout buckets 1–4 — keep the summaries clean and let the swipe file be the dedicated place for raw language.


How This Feeds the Rest of the Stack

The output of this analysis plugs directly into creative strategy and execution:

  • Pain Points → Creative Strategy Engine — pain buckets map directly to the pain/desire anchor layer
  • Trigger Moments → Hook Writing — trigger moments are often the most powerful hook material; they capture the exact moment of emotional readiness
  • Objections → Hook Writing / Creative Mechanics — objections inform Borrowed Enemy, Reframe, and Risk Reversal mechanics and hook tactics
  • Transformations → Hook Writing — transformation language feeds aspirational and social proof hooks
  • Standout Language → Hook Voice Patterns — the best phrases can be added directly to the swipe file as native voice patterns pulled from real customers

Notes on Quality

  • Score 5 reviews should be read in full and treated as primary sources
  • Score 2–3 reviews are useful for pattern confirmation but not quote sourcing
  • If the review set is small (under 20 reviews), note this — patterns may not be statistically meaningful but language is still usable
  • If a product has too few quality reviews to surface meaningful patterns, flag it rather than manufacturing themes that aren't there

适合场景

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02

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能力 2

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能力 3

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能力 4

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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

35.9%
按下载量换算411

Claude

30.13%
按下载量换算345

Cursor

20.36%
按下载量换算233

Gemini CLI

9.73%
按下载量换算111

安全审计

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通过

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通过

Snyk

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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