Agent skill

Product Review Report

编写产品评测报告的 skill。流程：询问被评测产品名、资料/链接、评测功能点、目标使用场景、竞品 → 网络核实最新状态 → 站在决策者（买不买）和使用者（好不好用）双视角 → 输出图文并茂的 markdown 评测报告到当前项目的 markdown/ 目录。报告包含：TL;DR、双视角结论、维度评分、竞品对比、选型决策树、实操指南、依据与参考。适用于"评测 XX 产品"、"对比 X 和…

GPL-2.0Auto-check passedWriting & Content

Install Product Review Report

skills CLI

$ npx skills add digoal/blog --skill product-review-report -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install digoal/blog product-review-report --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/product-review-report .claude/skills/product-review-report && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "product-review-report" agent skill from https://github.com/digoal/blog/tree/master/skills/product-review-report into .claude/skills/product-review-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-review-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

$skill-installer install https://github.com/digoal/blog/tree/master/skills/product-review-report

Type 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.

skills CLI

$ npx skills add digoal/blog --skill product-review-report -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install digoal/blog product-review-report --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/product-review-report .agents/skills/product-review-report && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "product-review-report" agent skill from https://github.com/digoal/blog/tree/master/skills/product-review-report into .agents/skills/product-review-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-review-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.

skills CLI

$ npx skills add digoal/blog --skill product-review-report -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install digoal/blog product-review-report --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/product-review-report .cursor/skills/product-review-report && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "product-review-report" agent skill from https://github.com/digoal/blog/tree/master/skills/product-review-report into .cursor/skills/product-review-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-review-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

$ gemini skills install https://github.com/digoal/blog.git --path skills/product-review-report

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add digoal/blog --skill product-review-report -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install digoal/blog product-review-report --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/product-review-report .gemini/skills/product-review-report && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "product-review-report" agent skill from https://github.com/digoal/blog/tree/master/skills/product-review-report into .gemini/skills/product-review-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-review-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.

GitHub CLI

$ gh skill install digoal/blog product-review-report

Installs 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).

skills CLI

$ npx skills add digoal/blog --skill product-review-report -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/product-review-report .github/skills/product-review-report && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "product-review-report" agent skill from https://github.com/digoal/blog/tree/master/skills/product-review-report into .github/skills/product-review-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-review-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.

skills CLI

$ npx skills add digoal/blog --skill product-review-report -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install digoal/blog product-review-report --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/product-review-report .opencode/skills/product-review-report && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "product-review-report" agent skill from https://github.com/digoal/blog/tree/master/skills/product-review-report into .opencode/skills/product-review-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-review-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: product-review-report
GitHub stars: 8.6k
Token cost: ~769 tokens
SKILL.md length: 254 words
Files: 4 (incl. references, assets)
Skills in repo: 98
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: GPL-2.0

At a glance

Works in 7 steps: 收集 4 项必填信息 → 网络核实最新状态 → 选定评测维度 → …
Tasks that involve Summarization
SKILL.md covers Overview, 何时使用, 何时不要使用 and Workflow, plus 2 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Product Review Report is an agent skill from digoal/blog. 编写产品评测报告的 skill。流程：询问被评测产品名、资料/链接、评测功能点、目标使用场景、竞品 → 网络核实最新状态 → 站在决策者（买不买）和使用者（好不好用）双视角 → 输出图文并茂的 markdown 评测报告到当前项目的 markdown/ 目录。报告包含：TL;DR、双视角结论、维度评分、竞品对比、选型决策树、实操指南、依据与参考。适用于"评测 XX 产品"、"对比 X 和 Y"、"XX 工具选型"等需求。

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files and assets (for example `agents/openai.yaml`, `assets/report-skeleton.md` and `references/evaluation-framework.md`).

It sits in Writing & Content, covering Summarization and Markdown. It works with Mermaid. The repository describes itself as: AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog. The licence is GPL-2.0.

When your agent uses it

Tasks that involve Summarization
Tasks that involve Markdown

Example prompts

“评测 XX 产品”
“对比 X 和 Y”
“XX 工具选型”
“/product-review-report”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

收集 4 项必填信息
网络核实最新状态
选定评测维度
撰写报告
图示选型
输出
自检

What it can do on your machine

Read from SKILL.md and the folder at commit ad6fcb7. 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.
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

Product Review Report loads about 769 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 254 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~59
When it runs · the whole SKILL.md, loaded when a task matches: ~769
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~1.7k

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 digoal/blog at commit ad6fcb7, republished under its GPL-2.0 licence (© digoal). 254 words, ~769 tokens.

Download SKILL.mdSave it as .claude/skills/product-review-report/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: product-review-report
description: 编写产品评测报告的 skill。流程：询问被评测产品名、资料/链接、评测功能点、目标使用场景、竞品 → 网络核实最新状态 → 站在决策者（买不买）和使用者（好不好用）双视角 → 输出图文并茂的 markdown 评测报告到当前项目的 markdown/ 目录。报告包含：TL;DR、双视角结论、维度评分、竞品对比、选型决策树、实操指南、依据与参考。适用于"评测 XX 产品"、"对比 X 和 Y"、"XX 工具选型"等需求。

Product Review Report

Overview

为决策者和使用者同时编写一份可决策的产品评测报告，覆盖业务价值 / 成本 / 风险 / 易用性 / 日常效率等维度，输出图文并茂的 markdown 报告到当前项目 markdown/ 目录。

何时使用

用户说 "评测 XX 产品"、"对比 X 和 Y 的差异"、"帮我选型"、"XX 工具好不好用"
用户给出产品名 + 1-2 个评测维度，需要结构化报告
涉及付费 / 长期投入决策，需要论据和依据

何时不要使用

用户只是简单问"XX 是什么"——直接回答即可，不需要评测报告
单纯技术问题（API 怎么用、bug 排查）—— 用相关技术 skill
用户没给产品名——直接问，不用启动完整 skill

Workflow

Step 1: 收集 4 项必填信息

用 AskUserQuestion 一次性收集（避免多轮来回）。如果用户已经提供部分信息，跳过对应项：

被评测产品名（必填）— 厂商 + 产品全称
资料/链接（可选项）— 官网、文档、白皮书、博客文章、第三方测评链接
评测功能点（必填）— 重点考察哪些功能（如"向量检索性能"、"多租户隔离"、"中文支持"）
目标使用场景（必填）— 谁会用、用来干什么、规模多大
对比的竞品（必填，至少 1 个）— 候选方案有哪些

多选题用 multiSelect=true 即可；用户没填的可选项允许跳过。

Step 2: 网络核实最新状态

必须用 mcp__MiniMax__web_search 搜索验证以下事实，禁止只用训练记忆：

产品的最新版本、最近一次大版本发布时间
厂商融资 / 收购 / 重大公告
竞品的最新动态（避免单方面稻草人）
公开的 benchmark / 性能数据
真实用户反馈（Reddit / Hacker News / V2EX / 即刻 / 知乎）

金融类产品（IPO 状态、估值、营收、市场份额）必须二次核实，绝不照搬训练记忆。跨公司对比时双方都要查最新状态。

Step 3: 选定评测维度

读 references/evaluation-framework.md：

按"产品类型"选用对应维度（功能 / 性能 / 易用性 / 生态 / 安全 / 成本 / 厂商 / 扩展性 / 可靠性 / AI 智能化）
不要全用——只选真正影响决策的 3-7 个
同时明确"决策者关注点"和"使用者关注点"在每个维度上的差异

Step 4: 撰写报告

报告结构参考 assets/report-skeleton.md：

TL;DR（30 秒读完）— 一句话定位 + 双视角结论 + 总评分
产品概览— 基本信息、关键时间线（mermaid timeline）、核心定位
评测维度详解— 每个维度小标题 + 打分 + 论据
竞品对比— 对比表（1-5 星）+ 差异化分析 + mermaid 选型决策树
决策者视角结论— 业务价值、ROI、风险、战略契合度、决策建议
使用者视角结论— 上手体验、日常效率、故障求助、推荐上手路径
实操指南— 3 步上手，含代码 / 命令
参考与依据— 所有引用的链接（数据来源、官方文档、用户反馈）

Step 5: 图示选型

架构 / 流程 / 决策树 / 时序 / 状态 / 类图 → Mermaid（首选）
组织关系 / 业务流 → Mermaid
复杂数据可视化 / 品牌色块 / Logo → 外挂 SVG
简单结构 → ASCII text 图

SVG 外挂强制规则：

SVG 文件保存到 markdown/svg/{report-name}-{chart-name}.svg
markdown 中用 ![描述](./svg/xxx.svg) 引用
SVG 内禁止外链资源（防失效）
字体用系统通用字体（system-ui, -apple-system, sans-serif）

Step 6: 输出

将最终报告保存到当前工作目录下的 markdown/ 目录：

文件名：{产品名}-评测报告.md（中文产品名直接用；含空格或特殊字符用连字符替换）
路径示例：/Users/digoal/new/markdown/{产品名}-评测报告.md
SVG 子目录：/Users/digoal/new/markdown/svg/
如目录不存在，先 mkdir -p markdown/svg

Step 7: 自检

输出前逐项检查：

决策者结论清晰可执行（采购/试用/观望/放弃 + 关键决策点）
使用者结论可感知（上手难度 + 推荐路径）
每个对比打分都有依据 / 引用
推演逻辑链完整（事实 → 推断 → 结论）
至少 1 张图示（mermaid / svg / ascii）
引用链接齐全，且都是实际访问过的（不是训练记忆编造）
实操指南 ≤ 5 步

完成后向用户报告文件路径 + 关键结论速览。

Resources

references/evaluation-framework.md

评测维度、权重、双视角关注点的完整定义。写报告前必读。

assets/report-skeleton.md

报告结构的 markdown 骨架，用于规范化输出，避免章节遗漏。

scripts/

（本 skill 不需要确定性脚本——报告生成是 LLM 推理任务，无重复代码。）

写作规范

结论先行：每个章节第一句话就是结论/判断，论据跟在后面
避免模糊：用"延迟 P99 200ms"代替"性能不错"
数据可追溯：所有数字必须有来源（官方文档 / 第三方测评 / 用户报告）
承认局限：找不到的数据写"未公开"或"无独立验证"，不要编
语言：默认中文输出；用户明确要求英文则英文
长度：典型报告 1500-4000 字；超过 5000 字考虑分章节或合并简化

Files

SKILL.md and 3 other files (references, assets) in skills/product-review-report of digoal/blog.

SKILL.md
agents/openai.yaml
assets/report-skeleton.md
references/evaluation-framework.md

Open the folder on GitHubat commit ad6fcb7

Compare with similar skills

Product Review 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.

Product Review Report compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Product Review Report this skilldigoal/blog	8.6k	—	~769	Automated safety check: Pass	GPL-2.0	2 days ago
AI Daily Newsgeekjourneyx/ai-daily-skill	235	—	~2.3k	Automated safety check: Pass	None	yesterday
Publish X Articlesugarforever/01coder-agent-skills	137	—	~5k	Automated safety check: Pass	MIT	3 mo ago
Blog WriteAgriciDaniel/claude-blog	2.3k	1 repos	~5.6k	Automated safety check: Pass	MIT	2 days ago
Blog WriteAgriciDaniel/claude-blog	2.3k	—	~5.6k	Automated safety check: Pass	MIT	2 days ago
Moai Domain HTML Reportmodu-ai/moai-adk	1.2k	—	~6.4k	Automated safety check: Notes	Apache-2.0	yesterday

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Works with

Mermaid

Questions about Product Review Report

What does Product Review Report do?

When should I use Product Review Report?

Product Review Report fits situations like: tasks that involve Summarization; tasks that involve Markdown.

How do I install Product Review Report in Claude Code?

Run `npx skills add digoal/blog --skill product-review-report -a claude-code`. Or copy the skill folder (skills/product-review-report in digoal/blog) into .claude/skills/product-review-report in your project. Claude Code loads it when a task matches its description.

How do I install Product Review Report in Codex?

Run `npx skills add digoal/blog --skill product-review-report -a codex`. Or copy the skill folder (skills/product-review-report in digoal/blog) into .agents/skills/product-review-report in your project. Codex loads it when a task matches its description.

Can I use Product Review 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 digoal/blog --skill product-review-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/product-review-report, .gemini/skills/product-review-report, .github/skills/product-review-report and .opencode/skills/product-review-report in your project.

What does Product Review Report need to run?

SKILL.md names no scripts, command-line tools or credentials: Product Review Report is instructions for the agent only.

Does Product Review 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 Product Review 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 Product Review Report use?

Product Review Report is published under the GPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Product Review Report use?

About 769 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 976 tokens, read only when the agent opens those files.

What are the alternatives to Product Review Report?

Skills that share tags, products or a category with Product Review Report: AI Daily News (geekjourneyx/ai-daily-skill, 235 stars), Publish X Article (sugarforever/01coder-agent-skills, 137 stars), Blog Write (AgriciDaniel/claude-blog, 2.3k stars) and Blog Write (AgriciDaniel/claude-blog, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Review Report?

digoal (a GitHub user) maintains it in digoal/blog, which has 8,588 GitHub stars. The repository holds 98 skills in this directory. The repository was last updated on October 9, 2026.

Source: digoal/blog on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Product Review Report

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Product Review Report

Overview

何时使用

何时不要使用

Workflow

Step 1: 收集 4 项必填信息

Step 2: 网络核实最新状态

Step 3: 选定评测维度

Step 4: 撰写报告

Step 5: 图示选型

Step 6: 输出

Step 7: 自检

Resources

references/evaluation-framework.md

assets/report-skeleton.md

scripts/

写作规范

Files

Compare with similar skills

Similar skills

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Questions about Product Review Report