Analyzer
iBigQiang/feedgrab
Content Analyzer — any content (URL, text, transcript) into structured analysis report with actionable insights.
提示词分析与洞察 - 查看Prompt详情、对比差异、推荐相似提示词、元素库统计. An agent skill from huangserva/skill-prompt-generator.
No licenceAuto-check passed
Install Prompt Analyzer
$ npx skills add huangserva/skill-prompt-generator --skill prompt-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install huangserva/skill-prompt-generator prompt-analyzer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/huangserva/skill-prompt-generator.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/prompt-analyzer .claude/skills/prompt-analyzer && rm -rf skills-srcUse ~/.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/
Install the "prompt-analyzer" agent skill from https://github.com/huangserva/skill-prompt-generator/tree/main/.codex/skills/prompt-analyzer into .claude/skills/prompt-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-analyzer", 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 install https://github.com/huangserva/skill-prompt-generator/tree/main/.codex/skills/prompt-analyzerType 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.
$ npx skills add huangserva/skill-prompt-generator --skill prompt-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install huangserva/skill-prompt-generator prompt-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huangserva/skill-prompt-generator.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/prompt-analyzer .agents/skills/prompt-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prompt-analyzer" agent skill from https://github.com/huangserva/skill-prompt-generator/tree/main/.codex/skills/prompt-analyzer into .agents/skills/prompt-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-analyzer", 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.
$ npx skills add huangserva/skill-prompt-generator --skill prompt-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install huangserva/skill-prompt-generator prompt-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huangserva/skill-prompt-generator.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/prompt-analyzer .cursor/skills/prompt-analyzer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "prompt-analyzer" agent skill from https://github.com/huangserva/skill-prompt-generator/tree/main/.codex/skills/prompt-analyzer into .cursor/skills/prompt-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-analyzer", 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 https://github.com/huangserva/skill-prompt-generator.git --path .codex/skills/prompt-analyzer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add huangserva/skill-prompt-generator --skill prompt-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install huangserva/skill-prompt-generator prompt-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huangserva/skill-prompt-generator.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/prompt-analyzer .gemini/skills/prompt-analyzer && rm -rf skills-srcUse ~/.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/
Install the "prompt-analyzer" agent skill from https://github.com/huangserva/skill-prompt-generator/tree/main/.codex/skills/prompt-analyzer into .gemini/skills/prompt-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-analyzer", 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.
$ gh skill install huangserva/skill-prompt-generator prompt-analyzerInstalls 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).
$ npx skills add huangserva/skill-prompt-generator --skill prompt-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/huangserva/skill-prompt-generator.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/prompt-analyzer .github/skills/prompt-analyzer && rm -rf skills-srcUse ~/.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/
Install the "prompt-analyzer" agent skill from https://github.com/huangserva/skill-prompt-generator/tree/main/.codex/skills/prompt-analyzer into .github/skills/prompt-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-analyzer", 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.
$ npx skills add huangserva/skill-prompt-generator --skill prompt-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install huangserva/skill-prompt-generator prompt-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huangserva/skill-prompt-generator.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/prompt-analyzer .opencode/skills/prompt-analyzer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "prompt-analyzer" agent skill from https://github.com/huangserva/skill-prompt-generator/tree/main/.codex/skills/prompt-analyzer into .opencode/skills/prompt-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-analyzer", 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
prompt-analyzer- GitHub stars
- 1.5k
- Token cost
- ~2.7k tokens
- SKILL.md length
- 174 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- None found
At a glance
提示词分析与洞察 - 查看Prompt详情、对比差异、推荐相似提示词、元素库统计. An agent skill from huangserva/skill-prompt-generator.
- Works in 5 steps: 查看详情 - 分析Prompt使用了哪些元素 → 对比分析 - 对比两个Prompt的差异 → 相似推荐 - 推荐相似的Prompt → …
- SKILL.md covers 🎯 核心职责, 📋 功能1：查看Prompt详情, 📋 功能2：对比两个Prompts and 📋 功能3：推荐相似Prompts, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Prompt Analyzer is an agent skill from huangserva/skill-prompt-generator. 提示词分析与洞察 - 查看Prompt详情、对比差异、推荐相似提示词、元素库统计
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: 这是一个基于Claude Skill的AI人像Prompt生成系统，能够从特征库中智能组合生成高质量的人像描述Prompt，并具备自动学习和库扩展能力。 核心能力: Prompt生成、特征提取、自动学习、智能审核、版本控制.
Example prompts
- “/prompt-analyzer”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 查看详情 - 分析Prompt使用了哪些元素
- 对比分析 - 对比两个Prompt的差异
- 相似推荐 - 推荐相似的Prompt
- 元素统计 - 查询元素库统计信息
- 风格推荐 - 按风格推荐最佳元素组合
What it can do on your machine
Read from SKILL.md and the folder at commit e951249. 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 (its code samples are python and markdown).
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
Prompt Analyzer loads about 2.7k tokens when it runs. Until then it costs about 14 tokens; SKILL.md has 174 words of instructions outside code blocks.
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 174 words (~2,659 tokens).
- name
- prompt-analyzer
Files
Just SKILL.md in .codex/skills/prompt-analyzer of huangserva/skill-prompt-generator.
Open the folder on GitHubat commit e951249
Compare with similar skills
Prompt Analyzer 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Prompt Analyzer this skillhuangserva/skill-prompt-generator | 1.5k | — | ~2.7k | Automated safety check: Pass | None | |
| AnalyzeriBigQiang/feedgrab | 614 | — | ~1k | Automated safety check: Pass | MIT | |
| Agent Code Analyzerruvnet/ruflo | 74k | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Agent Pagerank Analyzerruvnet/ruflo | 74k | 2 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Agent Performance Analyzerruvnet/ruflo | 74k | 2 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Diff Analyzeruvnet/ruflo | 74k | — | ~450 | Automated safety check: Notes | MIT |
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Agent Performance Analyzer
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Agent skill for performance-analyzer - invoke with $agent-performance-analyzer
Diff Analyze
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Analyze git diffs for risk scoring, reviewer recommendations, and change classification.
Analyze GitHub Flake
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Expertise in analyzing flake github issues in the flutter/flutter repository.
More from huangserva/skill-prompt-generator
All 12 skills in this repoDesign Master
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平面设计主控 - 自动生成平面设计提示词，支持海报、logo、插画等多种设计类型. An agent skill from huangserva/skill-prompt-generator.
Domain Classifier
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AI领域分类器 - 智能分析提示词内容，准确判断所属领域（人像/艺术/设计/产品/视频）. An agent skill from huangserva/skill-prompt-generator.
Prompt Master
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提示词主控 - 智能选择合适的领域skill并生成提示词，支持自动领域分类和调度. An agent skill from huangserva/skill-prompt-generator.
Universal Learner
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通用学习器 - 从任何领域的Prompt中自动提取可复用元素，持续学习和积累知识. An agent skill from huangserva/skill-prompt-generator.
Art Master
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艺术风格主控 - 自动生成艺术风格提示词，支持水墨画、油画、超现实、插画等多种艺术风格. An agent skill from huangserva/skill-prompt-generator.
Intelligent Prompt Generator
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智能提示词生成器 v2.0 - 支持人像/跨domain/设计三种模式，语义理解、常识推理、一致性检查. An agent skill from huangserva/skill-prompt-generator.
Questions about Prompt Analyzer
What does Prompt Analyzer do?
提示词分析与洞察 - 查看Prompt详情、对比差异、推荐相似提示词、元素库统计. An agent skill from huangserva/skill-prompt-generator. Prompt Analyzer is an agent skill from huangserva/skill-prompt-generator.
How do I install Prompt Analyzer in Claude Code?
Run `npx skills add huangserva/skill-prompt-generator --skill prompt-analyzer -a claude-code`. Or copy the skill folder (.codex/skills/prompt-analyzer in huangserva/skill-prompt-generator) into .claude/skills/prompt-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install Prompt Analyzer in Codex?
Run `npx skills add huangserva/skill-prompt-generator --skill prompt-analyzer -a codex`. Or copy the skill folder (.codex/skills/prompt-analyzer in huangserva/skill-prompt-generator) into .agents/skills/prompt-analyzer in your project. Codex loads it when a task matches its description.
Can I use Prompt Analyzer 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 huangserva/skill-prompt-generator --skill prompt-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prompt-analyzer, .gemini/skills/prompt-analyzer, .github/skills/prompt-analyzer and .opencode/skills/prompt-analyzer in your project.
What does Prompt Analyzer need to run?
SKILL.md names no scripts, command-line tools or credentials: Prompt Analyzer is instructions for the agent only. Our summary lists: Python 3.
Does Prompt Analyzer 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 Prompt Analyzer 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 Prompt Analyzer use?
No licence was found for Prompt Analyzer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Prompt Analyzer use?
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Prompt Analyzer?
Skills that share tags, products or a category with Prompt Analyzer: Analyzer (iBigQiang/feedgrab, 614 stars), Agent Code Analyzer (ruvnet/ruflo, 74k stars), Agent Pagerank Analyzer (ruvnet/ruflo, 74k stars) and Agent Performance Analyzer (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Prompt Analyzer?
huangserva (a GitHub user) maintains it in huangserva/skill-prompt-generator, which has 1,500 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on May 10, 2026.
Source: huangserva/skill-prompt-generator on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.