Text Analytics Methods
revfactory/harness-100
Text analytics methodology. An agent skill from revfactory/harness-100.
Chinese sentiment analysis workflows using dictionary scoring, traditional machine learning classifiers, and LLM API calls.
Install Sentiment Analysis
$ npx skills add Drchronx/ai-agent-research-starter-kit --skill sentiment-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit sentiment-analysis --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/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'综合学术部署包/05_文本挖掘与NLP Skills/sentiment-analysis' .claude/skills/sentiment-analysis && 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 "sentiment-analysis" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/05_%E6%96%87%E6%9C%AC%E6%8C%96%E6%8E%98%E4%B8%8ENLP%20Skills/sentiment-analysis into .claude/skills/sentiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentiment-analysis", 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/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/05_%E6%96%87%E6%9C%AC%E6%8C%96%E6%8E%98%E4%B8%8ENLP%20Skills/sentiment-analysisType 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 Drchronx/ai-agent-research-starter-kit --skill sentiment-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit sentiment-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'综合学术部署包/05_文本挖掘与NLP Skills/sentiment-analysis' .agents/skills/sentiment-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sentiment-analysis" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/05_%E6%96%87%E6%9C%AC%E6%8C%96%E6%8E%98%E4%B8%8ENLP%20Skills/sentiment-analysis into .agents/skills/sentiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentiment-analysis", 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 Drchronx/ai-agent-research-starter-kit --skill sentiment-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit sentiment-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'综合学术部署包/05_文本挖掘与NLP Skills/sentiment-analysis' .cursor/skills/sentiment-analysis && 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 "sentiment-analysis" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/05_%E6%96%87%E6%9C%AC%E6%8C%96%E6%8E%98%E4%B8%8ENLP%20Skills/sentiment-analysis into .cursor/skills/sentiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentiment-analysis", 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/Drchronx/ai-agent-research-starter-kit.git --path '综合学术部署包/05_文本挖掘与NLP Skills/sentiment-analysis'--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 Drchronx/ai-agent-research-starter-kit --skill sentiment-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit sentiment-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'综合学术部署包/05_文本挖掘与NLP Skills/sentiment-analysis' .gemini/skills/sentiment-analysis && 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 "sentiment-analysis" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/05_%E6%96%87%E6%9C%AC%E6%8C%96%E6%8E%98%E4%B8%8ENLP%20Skills/sentiment-analysis into .gemini/skills/sentiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentiment-analysis", 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 Drchronx/ai-agent-research-starter-kit sentiment-analysisInstalls 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 Drchronx/ai-agent-research-starter-kit --skill sentiment-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/'综合学术部署包/05_文本挖掘与NLP Skills/sentiment-analysis' .github/skills/sentiment-analysis && 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 "sentiment-analysis" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/05_%E6%96%87%E6%9C%AC%E6%8C%96%E6%8E%98%E4%B8%8ENLP%20Skills/sentiment-analysis into .github/skills/sentiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentiment-analysis", 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 Drchronx/ai-agent-research-starter-kit --skill sentiment-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit sentiment-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'综合学术部署包/05_文本挖掘与NLP Skills/sentiment-analysis' .opencode/skills/sentiment-analysis && 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 "sentiment-analysis" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/05_%E6%96%87%E6%9C%AC%E6%8C%96%E6%8E%98%E4%B8%8ENLP%20Skills/sentiment-analysis into .opencode/skills/sentiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentiment-analysis", 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
sentiment-analysis- GitHub stars
- 134
- Token cost
- ~516 tokens
- SKILL.md length
- 209 words
- Files
- 9 (incl. scripts, references)
- Skills in repo
- 53
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Chinese sentiment analysis workflows using dictionary scoring, traditional machine learning classifiers, and LLM API calls.
- Works in 5 steps: Decide whether the task is covered by… → If unsupported, say the skill cannot… → If supported, write a plan before… → …
- A user asks Codex to label sentiment
- SKILL.md covers Operating Rule, Capability Map, Input Expectations and Course Context
- Runs Python scripts from its folder
What it does
Sentiment Analysis is an agent skill from Drchronx/ai-agent-research-starter-kit. Chinese sentiment analysis workflows using dictionary scoring, traditional machine learning classifiers, and LLM API calls. Use when a user asks Codex to label sentiment, calculate dictionary sentiment scores, train a TF-IDF sentiment classifier, predict sentiment from a saved classifier, or call a large language model for sentiment classification on text files or short inputs.
Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `agents/openai.yaml`, `readme.md` and `references/dictionary-method.md`).
It sits in Sales & Support, covering Customer feedback analysis, Machine learning and Natural language processing. The repository describes itself as: AI Agent 科研全流程教学包，能教学生从零部署 Codex、Claude Code、OpenClaw、Hermes 等 Agent，学会使用 Skills、飞书、AMiner、AI4Scholar、Zotero、Obsidian…
When your agent uses it
- A user asks Codex to label sentiment
- Calculate dictionary sentiment scores
- Train a TF-IDF sentiment classifier
- Predict sentiment from a saved classifier
Example prompts
- “/sentiment-analysis”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Decide whether the task is covered by dictionary, machine-learning, or LLM sentiment analysis.
- If unsupported, say the skill cannot solve it and name the missing method or input.
- If supported, write a plan before running commands. Include the chosen method, reference file, script, required inputs, required columns…
- Ask for missing lexicon paths, label columns, model paths, or API key environment details when required.
- Execute the script by command line and report the produced files and key metrics.
What it can do on your machine
Read from SKILL.md and the folder at commit aab1133. 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 3 files in scripts/ (Python), which the agent can run.
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
Sentiment Analysis loads about 516 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 209 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 209 words (~516 tokens).
“Use this skill as a fixed command-line workflow. Do not write ad-hoc sentiment analysis code.”
- name
- sentiment-analysis
Files
SKILL.md and 8 other files (scripts, references) in 综合学术部署包/05_文本挖掘与NLP Skills/sentiment-analysis of Drchronx/ai-agent-research-starter-kit.
- SKILL.md
- agents/openai.yaml
- readme.md
- references/dictionary-method.md
- references/llm-method.md
- references/machine-learning-method.md
- scripts/dictionary_sentiment.py
- scripts/llm_sentiment.py
- scripts/ml_sentiment.py
Open the folder on GitHubat commit aab1133
Compare with similar skills
Sentiment Analysis 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 |
|---|---|---|---|---|---|---|
| Sentiment Analysis this skillDrchronx/ai-agent-research-starter-kit | 134 | — | ~516 | Automated safety check: Pass | Custom licence | |
| Text Analytics Methodsrevfactory/harness-100 | 1.3k | — | ~877 | Automated safety check: Pass | Apache-2.0 | |
| Text Analytics Methodsrevfactory/harness-100 | 1.3k | — | ~518 | Automated safety check: Pass | Apache-2.0 | |
| Christopher ManningK-Dense-AI/mimeo | 282 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Azure AI Textanalytics Pymicrosoft/skills | 3.1k | 6 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Sentiment Analyzerguia-matthieu/clawfu-skills | 150 | — | ~923 | Automated safety check: Pass | MIT |
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Related
Questions about Sentiment Analysis
What does Sentiment Analysis do?
Chinese sentiment analysis workflows using dictionary scoring, traditional machine learning classifiers, and LLM API calls. Sentiment Analysis is an agent skill from Drchronx/ai-agent-research-starter-kit. Chinese sentiment analysis workflows using dictionary scoring, traditional machine learning classifiers, and LLM API calls.
When should I use Sentiment Analysis?
Sentiment Analysis fits situations like: A user asks Codex to label sentiment; calculate dictionary sentiment scores; train a TF-IDF sentiment classifier; predict sentiment from a saved classifier.
How do I install Sentiment Analysis in Claude Code?
Run `npx skills add Drchronx/ai-agent-research-starter-kit --skill sentiment-analysis -a claude-code`. Or copy the skill folder (综合学术部署包/05_文本挖掘与NLP Skills/sentiment-analysis in Drchronx/ai-agent-research-starter-kit) into .claude/skills/sentiment-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Sentiment Analysis in Codex?
Run `npx skills add Drchronx/ai-agent-research-starter-kit --skill sentiment-analysis -a codex`. Or copy the skill folder (综合学术部署包/05_文本挖掘与NLP Skills/sentiment-analysis in Drchronx/ai-agent-research-starter-kit) into .agents/skills/sentiment-analysis in your project. Codex loads it when a task matches its description.
Can I use Sentiment Analysis 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 Drchronx/ai-agent-research-starter-kit --skill sentiment-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sentiment-analysis, .gemini/skills/sentiment-analysis, .github/skills/sentiment-analysis and .opencode/skills/sentiment-analysis in your project.
What does Sentiment Analysis need to run?
Going by SKILL.md and its folder, Sentiment Analysis needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sentiment Analysis 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 Sentiment Analysis 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 Sentiment Analysis use?
Sentiment Analysis has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Sentiment Analysis use?
About 516 tokens (SKILL.md is roughly 2.1k 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 895 tokens, read only when the agent opens those files.
What are the alternatives to Sentiment Analysis?
Skills that share tags, products or a category with Sentiment Analysis: Text Analytics Methods (revfactory/harness-100, 1.3k stars), Text Analytics Methods (revfactory/harness-100, 1.3k stars), Christopher Manning (K-Dense-AI/mimeo, 282 stars) and Azure AI Textanalytics Py (microsoft/skills, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sentiment Analysis?
Drchronx (a GitHub user) maintains it in Drchronx/ai-agent-research-starter-kit, which has 134 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on May 19, 2026.
Source: Drchronx/ai-agent-research-starter-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.