NotebookLM Research Assistant
PleasePrompto/notebooklm-skill
Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.
記事内の事実主張(数値、日付、固有名詞、統計)を自動抽出し、Web検索で裏付け確認するスキル. An agent skill from minicoohei/ai-agent-camp.
$ npx skills add minicoohei/ai-agent-camp --skill fact-checker -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install minicoohei/ai-agent-camp fact-checker --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/minicoohei/ai-agent-camp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fact-checker .claude/skills/fact-checker && 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 "fact-checker" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/fact-checker into .claude/skills/fact-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fact-checker", 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/minicoohei/ai-agent-camp/tree/main/skills/fact-checkerType 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 minicoohei/ai-agent-camp --skill fact-checker -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install minicoohei/ai-agent-camp fact-checker --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/fact-checker .agents/skills/fact-checker && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fact-checker" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/fact-checker into .agents/skills/fact-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fact-checker", 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 minicoohei/ai-agent-camp --skill fact-checker -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install minicoohei/ai-agent-camp fact-checker --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/fact-checker .cursor/skills/fact-checker && 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 "fact-checker" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/fact-checker into .cursor/skills/fact-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fact-checker", 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/minicoohei/ai-agent-camp.git --path skills/fact-checker--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 minicoohei/ai-agent-camp --skill fact-checker -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install minicoohei/ai-agent-camp fact-checker --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/fact-checker .gemini/skills/fact-checker && 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 "fact-checker" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/fact-checker into .gemini/skills/fact-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fact-checker", 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 minicoohei/ai-agent-camp fact-checkerInstalls 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 minicoohei/ai-agent-camp --skill fact-checker -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/fact-checker .github/skills/fact-checker && 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 "fact-checker" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/fact-checker into .github/skills/fact-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fact-checker", 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 minicoohei/ai-agent-camp --skill fact-checker -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install minicoohei/ai-agent-camp fact-checker --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/fact-checker .opencode/skills/fact-checker && 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 "fact-checker" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/fact-checker into .opencode/skills/fact-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fact-checker", 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.
fact-checker記事内の事実主張(数値、日付、固有名詞、統計)を自動抽出し、Web検索で裏付け確認するスキル. An agent skill from minicoohei/ai-agent-camp.
Fact Checker is an agent skill from minicoohei/ai-agent-camp. 記事内の事実主張(数値、日付、固有名詞、統計)を自動抽出し、Web検索で裏付け確認するスキル。 「ファクトチェックして」「事実確認して」「裏付けを取って」等のリクエストで発動。 信頼度スコア付きレポートを出力。
Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `SKILL.en.md`, `SKILL.es.md` and `agents/openai.yaml`).
It works with Google Gemini. The repository describes itself as: AI Agent Camp — non-engineer-friendly AI agent training curriculum. Lessons, skills, commands, and hooks for Claude Code, Cursor, and Codex.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 048ba4c. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GEMINI_API_KEYGOOGLE_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Fact Checker loads about 992 tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 142 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
# .env に追加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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 142 words (~992 tokens).
SKILL.md and 4 other files (scripts) in skills/fact-checker of minicoohei/ai-agent-camp.
Open the folder on GitHubat commit 048ba4c
Fact Checker 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 |
|---|---|---|---|---|---|---|
| Fact Checker this skillminicoohei/ai-agent-camp | 347 | — | ~992 | Automated safety check: Notes | None | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Brand and Design Toolkitnextlevelbuilder/ui-ux-pro-max-skill | 134k | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| OpenCLI Smart Search Routerjackwener/OpenCLI | 30k | 2 repos | ~753 | Automated safety check: Pass | Apache-2.0 | |
| NotebookLM Automationteng-lin/notebooklm-py | 20k | — | ~4.1k | Automated safety check: Pass | MIT |
PleasePrompto/notebooklm-skill
Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.
nextlevelbuilder/ui-ux-pro-max-skill
Bundles design tasks behind one skill: brand identity, tokens, UI styling, logos, corporate identity mockups, slides, banners, icons and social images.
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
jackwener/OpenCLI
Routes a search question to the most suitable opencli source, normally one AI site plus up to two specialist sites, with call limits per question and a recap at the end.
teng-lin/notebooklm-py
Installs, authenticates and operates Gemini Notebook (NotebookLM) through the notebooklm-py CLI or its typed async Python API, for notebooks, sources, grounded chat and generated artifacts.
YouMind-OpenLab/nano-banana-pro-prompts-recommend-skill
Recommend suitable prompts from 10,000+ Nano Banana Pro image generation prompts based on user needs.
minicoohei/ai-agent-camp
200以上のファイル形式に対応した探索的データ分析(EDA)スキル. An agent skill from minicoohei/ai-agent-camp.
minicoohei/ai-agent-camp
コンテンツのA/Bテスト・自己改善ループを支援するプランナースキル. An agent skill from minicoohei/ai-agent-camp.
minicoohei/ai-agent-camp
TikTok/YouTube向け動画編集スキル。ffmpegでキャプション焼き込み、 Ken Burnsエフェクト、シーン結合、音声合成を行う。
minicoohei/ai-agent-camp
テーマからアウトライン生成→文体プロファイル適用→Markdown記事出力を行う記事執筆スキル. An agent skill from minicoohei/ai-agent-camp.
minicoohei/ai-agent-camp
各種SNS・広告プラットフォーム向けのバナー/クリエイティブを生成するスキル. An agent skill from minicoohei/ai-agent-camp.
minicoohei/ai-agent-camp
メールとSlackから返信すべき項目・タスクを抽出する統合型スキル. An agent skill from minicoohei/ai-agent-camp.
Works with
記事内の事実主張(数値、日付、固有名詞、統計)を自動抽出し、Web検索で裏付け確認するスキル. An agent skill from minicoohei/ai-agent-camp. Fact Checker is an agent skill from minicoohei/ai-agent-camp.
Run `npx skills add minicoohei/ai-agent-camp --skill fact-checker -a claude-code`. Or copy the skill folder (skills/fact-checker in minicoohei/ai-agent-camp) into .claude/skills/fact-checker in your project. Claude Code loads it when a task matches its description.
Run `npx skills add minicoohei/ai-agent-camp --skill fact-checker -a codex`. Or copy the skill folder (skills/fact-checker in minicoohei/ai-agent-camp) into .agents/skills/fact-checker in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add minicoohei/ai-agent-camp --skill fact-checker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fact-checker, .gemini/skills/fact-checker, .github/skills/fact-checker and .opencode/skills/fact-checker in your project.
Going by SKILL.md and its folder, Fact Checker needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named GEMINI_API_KEY and GOOGLE_API_KEY. Our summary lists: Python 3; A credential in GEMINI_API_KEY; A credential in GOOGLE_API_KEY.
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.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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.
No licence was found for Fact Checker or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 992 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Fact Checker: NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars), Brand and Design Toolkit (nextlevelbuilder/ui-ux-pro-max-skill, 134k stars), AI Image Generation and Editing (zhayujie/CowAgent, 47k stars) and OpenCLI Smart Search Router (jackwener/OpenCLI, 30k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
minicoohei (a GitHub user) maintains it in minicoohei/ai-agent-camp, which has 347 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on October 7, 2026.
Source: minicoohei/ai-agent-camp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.