MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Evidence-based AI-generated text risk analysis for essays, emails, reviews, articles, messages, and other prose samples.
MITAuto-check passed
Install AI Detector
$ npx skills add lynote-ai/ai-text-detector --skill ai-detector -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lynote-ai/ai-text-detector ai-detector --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/lynote-ai/ai-text-detector.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/ai-detector .claude/skills/ai-detector && 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 "ai-detector" agent skill from https://github.com/lynote-ai/ai-text-detector/tree/main/.claude/skills/ai-detector into .claude/skills/ai-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-detector", 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/lynote-ai/ai-text-detector/tree/main/.claude/skills/ai-detectorType 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 lynote-ai/ai-text-detector --skill ai-detector -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lynote-ai/ai-text-detector ai-detector --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lynote-ai/ai-text-detector.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/ai-detector .agents/skills/ai-detector && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-detector" agent skill from https://github.com/lynote-ai/ai-text-detector/tree/main/.claude/skills/ai-detector into .agents/skills/ai-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-detector", 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 lynote-ai/ai-text-detector --skill ai-detector -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lynote-ai/ai-text-detector ai-detector --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lynote-ai/ai-text-detector.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/ai-detector .cursor/skills/ai-detector && 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 "ai-detector" agent skill from https://github.com/lynote-ai/ai-text-detector/tree/main/.claude/skills/ai-detector into .cursor/skills/ai-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-detector", 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/lynote-ai/ai-text-detector.git --path .claude/skills/ai-detector--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 lynote-ai/ai-text-detector --skill ai-detector -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lynote-ai/ai-text-detector ai-detector --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lynote-ai/ai-text-detector.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/ai-detector .gemini/skills/ai-detector && 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 "ai-detector" agent skill from https://github.com/lynote-ai/ai-text-detector/tree/main/.claude/skills/ai-detector into .gemini/skills/ai-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-detector", 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 lynote-ai/ai-text-detector ai-detectorInstalls 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 lynote-ai/ai-text-detector --skill ai-detector -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lynote-ai/ai-text-detector.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/ai-detector .github/skills/ai-detector && 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 "ai-detector" agent skill from https://github.com/lynote-ai/ai-text-detector/tree/main/.claude/skills/ai-detector into .github/skills/ai-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-detector", 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 lynote-ai/ai-text-detector --skill ai-detector -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lynote-ai/ai-text-detector ai-detector --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lynote-ai/ai-text-detector.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/ai-detector .opencode/skills/ai-detector && 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 "ai-detector" agent skill from https://github.com/lynote-ai/ai-text-detector/tree/main/.claude/skills/ai-detector into .opencode/skills/ai-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-detector", 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
ai-detector- GitHub stars
- 447
- Token cost
- ~318 tokens
- SKILL.md length
- 153 words
- Files
- 1
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- MIT
At a glance
Evidence-based AI-generated text risk analysis for essays, emails, reviews, articles, messages, and other prose samples.
- Works in 5 steps: Give a one-sentence conclusion with… → Show score and confidence. → List the strongest evidence signals. → …
- SKILL.md covers Core Rules, Run, Respond and Wording
- Calls python
What it does
AI Detector is an agent skill from lynote-ai/ai-text-detector. Evidence-based AI-generated text risk analysis for essays, emails, reviews, articles, messages, and other prose samples.
Its SKILL.md is about 320 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Python. The repository describes itself as: Open-source AI text detector: explainable 0-100 risk scores for AI-generated content, plus a trained document- and sentence-level model (human / AI / mixed / paraphrased)… The licence is MIT.
Example prompts
- “/ai-detector”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Give a one-sentence conclusion with uncertainty.
- Show score and confidence.
- List the strongest evidence signals.
- Include caveats.
- Suggest next steps only when useful.
What it can do on your machine
Read from SKILL.md and the folder at commit f7db1e4. 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
Shell commands in SKILL.md call:
python
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
AI Detector loads about 318 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 153 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
The full file from lynote-ai/ai-text-detector at commit f7db1e4, republished under its MIT licence (© lynote-ai). 153 words, ~318 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-detector/SKILL.md (or your agent's skills folder).- name
- ai-detector
- description
- Evidence-based AI-generated text risk analysis for essays, emails, reviews, articles, messages, and other prose samples.
AI Detector
Use this skill when a user asks whether a passage may be AI-generated.
Core Rules
- Never present the score as proof.
- Never accuse a named person of cheating, fraud, or misconduct.
- Ask for a longer sample when the text is under about 80 words.
- Prefer "AI-like signals are present" over "This was written by AI".
- For high-stakes contexts, recommend human review and comparison with known writing samples.
Run
From this repository:
ai-detect path/to/text.txt --jsonor:
python -m aidetect.cli path/to/text.txt --jsonRespond
- Give a one-sentence conclusion with uncertainty.
- Show score and confidence.
- List the strongest evidence signals.
- Include caveats.
- Suggest next steps only when useful.
Wording
Good:
- "AI-like signals are present, but this is not proof."
- "The result is uncertain because the sample is short."
- "This should be reviewed by a human and compared with known writing samples."
Avoid:
- "This was definitely written by AI."
- "The detector proves misconduct."
- Any accusation against a named person.
© lynote-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/ai-detector of lynote-ai/ai-text-detector.
Open the folder on GitHubat commit f7db1e4
Compare with similar skills
AI Detector 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 |
|---|---|---|---|---|---|---|
| AI Detector this skilllynote-ai/ai-text-detector | 447 | — | ~318 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 47 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 29k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| PPT Masterhugohe3/ppt-master | 59k | 1 repos | ~2.5k | Automated safety check: Pass | MIT |
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More from lynote-ai/ai-text-detector
AI Text Detector GitHub
lynote-ai/ai-text-detector
Detect whether a passage shows AI-like writing signals and return an explainable risk estimate with confidence, caveats, and next steps.
Related
Works with
Questions about AI Detector
What does AI Detector do?
Evidence-based AI-generated text risk analysis for essays, emails, reviews, articles, messages, and other prose samples. AI Detector is an agent skill from lynote-ai/ai-text-detector. Evidence-based AI-generated text risk analysis for essays, emails, reviews, articles, messages, and other prose samples.
How do I install AI Detector in Claude Code?
Run `npx skills add lynote-ai/ai-text-detector --skill ai-detector -a claude-code`. Or copy the skill folder (.claude/skills/ai-detector in lynote-ai/ai-text-detector) into .claude/skills/ai-detector in your project. Claude Code loads it when a task matches its description.
How do I install AI Detector in Codex?
Run `npx skills add lynote-ai/ai-text-detector --skill ai-detector -a codex`. Or copy the skill folder (.claude/skills/ai-detector in lynote-ai/ai-text-detector) into .agents/skills/ai-detector in your project. Codex loads it when a task matches its description.
Can I use AI Detector 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 lynote-ai/ai-text-detector --skill ai-detector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-detector, .gemini/skills/ai-detector, .github/skills/ai-detector and .opencode/skills/ai-detector in your project.
What does AI Detector need to run?
Going by SKILL.md and its folder, AI Detector needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does AI Detector 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 AI Detector 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 AI Detector use?
AI Detector is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AI Detector use?
About 318 tokens (SKILL.md is roughly 1.3k 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 AI Detector?
Skills that share tags, products or a category with AI Detector: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Detector?
lynote-ai (a GitHub organization) maintains it in lynote-ai/ai-text-detector, which has 447 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 8, 2026.
Source: lynote-ai/ai-text-detector on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.