No Comments
cursor/plugins
Spawn Comment Sicko, fix accepted findings, and offer encodings for claimed constraints.
评论区量化分析：对一批评论做情感分析（正/中/负占比 + 代表评论）、高频词与短语提取、 以及需求/吐槽/提问的诉求挖掘，为内容复盘和选题反哺提供数据。当用户说"评论情感分析" "评论区分析""用户在说什么""评论正负面比例""评论高频词""评论关键词""口碑分析""评论词云" "用户诉求""评论区吐槽"时使用。基于 jieba（分词）+ SnowNLP（情感）+ 社媒情感词典。
Apache-2.0Auto-check passed
Install Skill Comment Insights
$ npx skills add ZJU-REAL/Easel --skill skill-comment-insights -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJU-REAL/Easel skill-comment-insights --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/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/skill-comment-insights .claude/skills/skill-comment-insights && 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 "skill-comment-insights" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-comment-insights into .claude/skills/skill-comment-insights/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-comment-insights", 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/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-comment-insightsType 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 ZJU-REAL/Easel --skill skill-comment-insights -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJU-REAL/Easel skill-comment-insights --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openclaw/skill-comment-insights .agents/skills/skill-comment-insights && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-comment-insights" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-comment-insights into .agents/skills/skill-comment-insights/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-comment-insights", 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 ZJU-REAL/Easel --skill skill-comment-insights -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJU-REAL/Easel skill-comment-insights --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openclaw/skill-comment-insights .cursor/skills/skill-comment-insights && 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 "skill-comment-insights" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-comment-insights into .cursor/skills/skill-comment-insights/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-comment-insights", 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/ZJU-REAL/Easel.git --path skills/openclaw/skill-comment-insights--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 ZJU-REAL/Easel --skill skill-comment-insights -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJU-REAL/Easel skill-comment-insights --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openclaw/skill-comment-insights .gemini/skills/skill-comment-insights && 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 "skill-comment-insights" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-comment-insights into .gemini/skills/skill-comment-insights/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-comment-insights", 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 ZJU-REAL/Easel skill-comment-insightsInstalls 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 ZJU-REAL/Easel --skill skill-comment-insights -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openclaw/skill-comment-insights .github/skills/skill-comment-insights && 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 "skill-comment-insights" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-comment-insights into .github/skills/skill-comment-insights/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-comment-insights", 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 ZJU-REAL/Easel --skill skill-comment-insights -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZJU-REAL/Easel skill-comment-insights --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openclaw/skill-comment-insights .opencode/skills/skill-comment-insights && 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 "skill-comment-insights" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-comment-insights into .opencode/skills/skill-comment-insights/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-comment-insights", 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
skill-comment-insights- GitHub stars
- 3.4k
- Token cost
- ~427 tokens
- SKILL.md length
- 86 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 114
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
评论区量化分析：对一批评论做情感分析（正/中/负占比 + 代表评论）、高频词与短语提取、 以及需求/吐槽/提问的诉求挖掘，为内容复盘和选题反哺提供数据。当用户说"评论情感分析" "评论区分析""用户在说什么""评论正负面比例""评论高频词""评论关键词""口碑分析""评论词云" "用户诉求""评论区吐槽"时使用。基于 jieba（分词）+ SnowNLP（情感）+ 社媒情感词典。
- Works in 4 steps: 情感占比：负面偏高 → 结合负面代表评论定位问题；配合… → 高频词/短语：用户关注点与话题；可喂… → 需求（demands）：求链接/求教程/求同款 → 直接转化为下一条选题（配合… → …
- SKILL.md covers ⚠️ 依赖, 输入, 输出（outputs/主题名/） and 执行, plus 3 more sections
- Runs Python scripts from its folder; calls python and pip
What it does
Skill Comment Insights is an agent skill from ZJU-REAL/Easel. 评论区量化分析：对一批评论做情感分析（正/中/负占比 + 代表评论）、高频词与短语提取、 以及需求/吐槽/提问的诉求挖掘，为内容复盘和选题反哺提供数据。当用户说"评论情感分析" "评论区分析""用户在说什么""评论正负面比例""评论高频词""评论关键词""口碑分析""评论词云" "用户诉求""评论区吐槽"时使用。基于 jieba（分词）+ SnowNLP（情感）+ 社媒情感词典。
Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/comment_insights.py`).
The repository describes itself as: An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨一个开源的… The licence is Apache-2.0.
Example prompts
- “评论情感分析”
- “用户在说什么”
- “评论正负面比例”
- “/skill-comment-insights”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 情感占比：负面偏高 → 结合负面代表评论定位问题；配合 skill-community-ops 做回应/危机。
- 高频词/短语：用户关注点与话题；可喂 chart-visualization/infographic 出词云图。
- 需求（demands）：求链接/求教程/求同款 → 直接转化为下一条选题（配合 community-ops 选题反哺）。
- 吐槽（complaints）：产品/服务问题信号 → 复盘改进（配合 skill-content-postmortem）。
What it can do on your machine
Read from SKILL.md and the folder at commit 278f420. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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
Skill Comment Insights loads about 427 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 86 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); the scripts in this folder are not scanned.
SKILL.md
The full file from ZJU-REAL/Easel at commit 278f420, republished under its Apache-2.0 licence (© ZJU-REAL). 86 words, ~427 tokens.
Download SKILL.mdSave it as
.claude/skills/skill-comment-insights/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- skill-comment-insights
- description
- 评论区量化分析：对一批评论做情感分析（正/中/负占比 + 代表评论）、高频词与短语提取、 以及需求/吐槽/提问的诉求挖掘，为内容复盘和选题反哺提供数据。当用户说"评论情感分析" "评论区分析""用户在说什么""评论正负面比例""评论高频词""评论关键词""口碑分析""评论词云" "用户诉求""评论区吐槽"时使用。基于 jieba（分词）+ SnowNLP（情感）+ 社媒情感词典。
- layer
- attribute
评论区量化分析（comment-insights）
对评论做量化洞察：情感分布、高频词/短语、需求与吐槽挖掘。走
scripts/comment_insights.py（jieba + SnowNLP + 社媒情感词典）。
和 skill-community-ops 的分工：community-ops 是"怎么回评论 + 危机应对"（运营动作）； 本 SKILL 是"评论区在说什么"（量化数据）。评论抓取见 skill-xhs-analyzer。
⚠️ 依赖
pip install jieba snownlp（首次 jieba 会构建词典缓存）。
输入
评论数据，三种格式：
.txt：每行一条评论.json：字符串数组，或对象数组（--column指定字段，默认 content）.csv：--column指定评论列（默认首列/content）
输出（outputs/主题名/）
- 报告 JSON：情感分布/占比 + 正负代表评论 + 高频词 + 高频短语 + 需求/吐槽/提问计数与例子
- 终端可读摘要
执行
脚本路径（相对项目根）：skills/openclaw/skill-comment-insights/scripts/comment_insights.py。
python <skill>/scripts/comment_insights.py analyze -i comments.txt --top 20 \
-o outputs/主题名/report.json
# CSV 指定列
python <skill>/scripts/comment_insights.py analyze -i comments.csv --column 评论内容结果怎么用
- 情感占比：负面偏高 → 结合负面代表评论定位问题；配合 skill-community-ops 做回应/危机。
- 高频词/短语：用户关注点与话题；可喂 chart-visualization/infographic 出词云图。
- 需求（demands）：求链接/求教程/求同款 → 直接转化为下一条选题（配合 community-ops 选题反哺）。
- 吐槽（complaints）：产品/服务问题信号 → 复盘改进（配合 skill-content-postmortem）。
规则
- 情感为 SnowNLP 基线 + 社媒词典修正的近似值，用于看趋势与占比，非逐条精判； 关键决策需人工核对代表评论，或让 LLM 对存疑评论精读。
- 高频词已做词性过滤（保留名/动/形）+ 停用词剔除，聚焦有信息量的词。
- 数据量小（<20 条）时占比参考意义有限，如实说明样本量。
- 只做分析不做回复；回复/危机用 skill-community-ops。
参考来源
沿用社媒评论分析常用组合：jieba 中文分词（#131 高频词）+ SnowNLP 情感（#130），并叠加 社媒情感词典（绝绝子/yyds/避雷/翻车等网络用语）修正 SnowNLP 在社交文本上的偏差。诉求挖掘 用规则匹配（求购/疑问/吐槽），确定可复现。
© ZJU-REAL, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in skills/openclaw/skill-comment-insights of ZJU-REAL/Easel.
- SKILL.md
- scripts/comment_insights.py
Open the folder on GitHubat commit 278f420
Compare with similar skills
Skill Comment Insights 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 |
|---|---|---|---|---|---|---|
| Skill Comment Insights this skillZJU-REAL/Easel | 3.4k | — | ~427 | Automated safety check: Pass | Apache-2.0 | |
| No Commentscursor/plugins | 11k | 7 repos | ~640 | Automated safety check: Pass | None | |
| Commentsanthropics/claude-for-legal | 9.6k | 1 repos | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Xhs Comment InsightJamailar/Beav | 1.8k | — | ~945 | Automated safety check: Pass | Custom licence | |
| Clean Up Commentsthedaviddias/Front-End-Checklist | 74k | — | ~435 | Automated safety check: Pass | MIT | |
| Formatting Insight AxesPostHog/posthog | 40k | — | ~2.1k | Automated safety check: Pass | Custom licence |
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Questions about Skill Comment Insights
What does Skill Comment Insights do?
评论区量化分析：对一批评论做情感分析（正/中/负占比 + 代表评论）、高频词与短语提取、 以及需求/吐槽/提问的诉求挖掘，为内容复盘和选题反哺提供数据。当用户说"评论情感分析" "评论区分析""用户在说什么""评论正负面比例""评论高频词""评论关键词""口碑分析""评论词云" "用户诉求""评论区吐槽"时使用。基于 jieba（分词）+ SnowNLP（情感）+ 社媒情感词典。. Skill Comment Insights is an agent skill from ZJU-REAL/Easel.
How do I install Skill Comment Insights in Claude Code?
Run `npx skills add ZJU-REAL/Easel --skill skill-comment-insights -a claude-code`. Or copy the skill folder (skills/openclaw/skill-comment-insights in ZJU-REAL/Easel) into .claude/skills/skill-comment-insights in your project. Claude Code loads it when a task matches its description.
How do I install Skill Comment Insights in Codex?
Run `npx skills add ZJU-REAL/Easel --skill skill-comment-insights -a codex`. Or copy the skill folder (skills/openclaw/skill-comment-insights in ZJU-REAL/Easel) into .agents/skills/skill-comment-insights in your project. Codex loads it when a task matches its description.
Can I use Skill Comment Insights 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 ZJU-REAL/Easel --skill skill-comment-insights -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-comment-insights, .gemini/skills/skill-comment-insights, .github/skills/skill-comment-insights and .opencode/skills/skill-comment-insights in your project.
What does Skill Comment Insights need to run?
Going by SKILL.md and its folder, Skill Comment Insights needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.
Does Skill Comment Insights access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Skill Comment Insights 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Skill Comment Insights use?
Skill Comment Insights is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Skill Comment Insights use?
About 427 tokens (SKILL.md is roughly 1.7k 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 Skill Comment Insights?
Skills that share tags, products or a category with Skill Comment Insights: No Comments (cursor/plugins, 11k stars), Comments (anthropics/claude-for-legal, 9.6k stars), Xhs Comment Insight (Jamailar/Beav, 1.8k stars) and Clean Up Comments (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Skill Comment Insights?
ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,376 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on October 9, 2026.
Source: ZJU-REAL/Easel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.