GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Detect whether a passage shows AI-like writing signals and return an explainable risk estimate with confidence, caveats, and next steps.
MITAuto-check passed
Install AI Text Detector GitHub
$ npx skills add lynote-ai/ai-text-detector --skill ai-text-detector-github -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lynote-ai/ai-text-detector ai-text-detector-github --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ai-text-detector-github" agent skill from https://github.com/lynote-ai/ai-text-detector/tree/main into .claude/skills/ai-text-detector-github/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-text-detector-github", 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.
$ npx skills add lynote-ai/ai-text-detector --skill ai-text-detector-github -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lynote-ai/ai-text-detector ai-text-detector-github --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-text-detector-github" agent skill from https://github.com/lynote-ai/ai-text-detector/tree/main into .agents/skills/ai-text-detector-github/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-text-detector-github", 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-text-detector-github -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lynote-ai/ai-text-detector ai-text-detector-github --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-text-detector-github" agent skill from https://github.com/lynote-ai/ai-text-detector/tree/main into .cursor/skills/ai-text-detector-github/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-text-detector-github", 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.
$ npx skills add lynote-ai/ai-text-detector --skill ai-text-detector-github -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lynote-ai/ai-text-detector ai-text-detector-github --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-text-detector-github" agent skill from https://github.com/lynote-ai/ai-text-detector/tree/main into .gemini/skills/ai-text-detector-github/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-text-detector-github", 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-text-detector-githubInstalls 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-text-detector-github -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-text-detector-github" agent skill from https://github.com/lynote-ai/ai-text-detector/tree/main into .github/skills/ai-text-detector-github/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-text-detector-github", 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-text-detector-github -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-text-detector-github --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-text-detector-github" agent skill from https://github.com/lynote-ai/ai-text-detector/tree/main into .opencode/skills/ai-text-detector-github/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-text-detector-github", 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-text-detector-github- GitHub stars
- 447
- Token cost
- ~695 tokens
- SKILL.md length
- 344 words
- Files
- 104 (incl. scripts, references, assets)
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- MIT
At a glance
Detect whether a passage shows AI-like writing signals and return an explainable risk estimate with confidence, caveats, and next steps.
- Works in 4 steps: Receive the candidate text and check… → If the sample is under about 80 words,… → Save the text to a file or pipe it… → …
- SKILL.md covers Overview, Trigger Conditions, Required Behavior and Execution Flow, plus 3 more sections
- Calls python
What it does
AI Text Detector GitHub is an agent skill from 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.
Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. The skill folder holds 108 other files, including scripts, reference files and assets (for example `.github/workflows/ci.yml`, `AGENTS.md` and `CONTRIBUTING.md`).
It works with GitHub and 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-text-detector-github”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Receive the candidate text and check length.
- If the sample is under about 80 words, explain that the detector will be noisy and ask for a longer sample when possible.
- Save the text to a file or pipe it through stdin.
- Run the local detector
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
Ships 1 file in scripts/, which the agent can run.
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 Text Detector GitHub loads about 695 tokens when it runs, and up to ~961 if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 344 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 lynote-ai/ai-text-detector at commit f7db1e4, republished under its MIT licence (© lynote-ai). 344 words, ~695 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-text-detector-github/SKILL.md (or your agent's skills folder). This skill also uses 103 other files; get the full folder from GitHub.- name
- ai-text-detector-github
- description
- Detect whether a passage shows AI-like writing signals and return an explainable risk estimate with confidence, caveats, and next steps.
AI Text Detector Skill
Overview
This skill wraps the local ai-detector-skill analyzer into a reusable open source Codex-style skill.
It is designed for:
- essays
- emails
- articles
- reviews
- forum posts
- other prose where a user asks whether the writing may be AI-generated
This skill returns a risk estimate, not proof of authorship.
Trigger Conditions
Use this skill when:
- the user asks "is this AI-written?"
- the user asks to detect AI-generated text
- the user pastes a passage and asks whether it sounds machine-written
- the user wants a cautious AI-likeness review for a document or message
Required Behavior
- 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.
Execution Flow
- Receive the candidate text and check length.
- If the sample is under about 80 words, explain that the detector will be noisy and ask for a longer sample when possible.
- Save the text to a file or pipe it through stdin.
- Run the local detector:
ai-detect path/to/text.txt --jsonor:
python -m aidetect.cli path/to/text.txt --jsonor from the repository helper:
python scripts/detect.py path/to/text.txt --json- Parse the JSON result and validate that it includes:
scoreconfidenceverdictconclusionsignalscaveats
Respond in this order:
One-sentence conclusion with uncertainty.
Score and confidence.
Strongest evidence signals.
Caveats.
Next steps only when useful.
Output Guidance
Good phrasing:
- "AI-like signals are present, but this is not proof."
- "The result is uncertain because the sample is short."
- "This should be reviewed against known writing samples."
Avoid:
- "This was definitely written by AI."
- "The detector proves misconduct."
- Any accusation against a named person.
Repository Layout
SKILL.md: skill contract and usage rulesscripts/detect.py: repository-local wrapper for the detectorscripts/setup.sh: local environment bootstrapreferences/api-reference.md: response contract and CLI referenceassets/templates/report.md: reusable response template
Development Notes
- Keep the analyzer explainable and lightweight.
- Prefer local heuristics over hidden network calls.
- Update this file whenever behavior or output changes.
© 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
SKILL.md and 103 other files (scripts, references, assets) in the repository root of lynote-ai/ai-text-detector.
- SKILL.md
- .claude/skills
- .gitattributes
- .github/workflows/ci.yml
- AGENTS.md
- CONTRIBUTING.md
- LICENSE
- Makefile
- README.md
- README.zh-CN.md
- SECURITY.md
- assets/hero.svg
- assets/score-bands.svg
- assets/templates/report.md
- assets/workflow.svg
- detection-model-pipeline
- … and 88 more
Open the folder on GitHubat commit f7db1e4
Compare with similar skills
AI Text Detector GitHub 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 Text Detector GitHub this skilllynote-ai/ai-text-detector | 447 | — | ~695 | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Update V8 Versionopeninterpreter/openinterpreter | 69k | 2 repos | ~845 | Automated safety check: Pass | Apache-2.0 | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT | |
| Merge Dependabot PRsonyx-dot-app/onyx | 32k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Summarise Ecosystem Resultsastral-sh/ruff | 50k | — | ~2.2k | Automated safety check: Pass | MIT |
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Research what people actually say about any topic in the last 30 days.
Merge Dependabot PRs
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Triages and lands a batch of open Dependabot PRs in the Onyx repo, where main is gated exclusively by GitHub's merge queue: approves and enqueues green PRs, closes superseded duplicates, fixes…
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Related
Questions about AI Text Detector GitHub
What does AI Text Detector GitHub do?
Detect whether a passage shows AI-like writing signals and return an explainable risk estimate with confidence, caveats, and next steps. AI Text Detector GitHub is an agent skill from 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.
How do I install AI Text Detector GitHub in Claude Code?
Run `npx skills add lynote-ai/ai-text-detector --skill ai-text-detector-github -a claude-code`. Or copy the skill folder (the lynote-ai/ai-text-detector repository) into .claude/skills/ai-text-detector-github in your project. Claude Code loads it when a task matches its description.
How do I install AI Text Detector GitHub in Codex?
Run `npx skills add lynote-ai/ai-text-detector --skill ai-text-detector-github -a codex`. Or copy the skill folder (the lynote-ai/ai-text-detector repository) into .agents/skills/ai-text-detector-github in your project. Codex loads it when a task matches its description.
Can I use AI Text Detector GitHub 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-text-detector-github -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-text-detector-github, .gemini/skills/ai-text-detector-github, .github/skills/ai-text-detector-github and .opencode/skills/ai-text-detector-github in your project.
What does AI Text Detector GitHub need to run?
Going by SKILL.md and its folder, AI Text Detector GitHub needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does AI Text Detector GitHub 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 Text Detector GitHub 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 AI Text Detector GitHub use?
AI Text Detector GitHub is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AI Text Detector GitHub use?
About 695 tokens (SKILL.md is roughly 2.8k 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 266 tokens, read only when the agent opens those files.
What are the alternatives to AI Text Detector GitHub?
Skills that share tags, products or a category with AI Text Detector GitHub: GitHub Deep Research (bytedance/deer-flow, 84k stars), Update V8 Version (openinterpreter/openinterpreter, 69k stars), Last30days (mvanhorn/last30days-skill, 64k stars) and Merge Dependabot PRs (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Text Detector GitHub?
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.