Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
日本語の概要は準備中です。原文の説明を表示しています。
Interact with X/Twitter via the x-cli terminal client using official X API credentials. Use for posting, reading timelines, searching tweets, liking, retweeting, bookmarks, mentions, and user lookups.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Use x-cli for official X/Twitter API interactions from the terminal.
This skill is for:
This skill intentionally does not vendor a separate CLI implementation into Hermes. Install and use upstream x-cli instead.
X API access is not meaningfully free for most real usage. Expect to need paid or prepaid X developer access. If commands fail with permissions or quota errors, check your X developer plan first.
Install upstream x-cli with uv:
uv tool install git+https://github.com/Infatoshi/x-cli.git
Upgrade later with:
uv tool upgrade x-cli
Verify:
x-cli --help
You need these five values from the X Developer Portal:
X_API_KEYX_API_SECRETX_BEARER_TOKENX_ACCESS_TOKENX_ACCESS_TOKEN_SECRETGet them from:
Unfortunately, the official X API splits auth across both app-level and user-level credentials:
X_API_KEY + X_API_SECRET identify your appX_BEARER_TOKEN is used for app-level read accessX_ACCESS_TOKEN + X_ACCESS_TOKEN_SECRET let the CLI act as your user account for writes and authenticated actionsSo yes — it is a lot of secrets for one integration, but this is the stable official API path and is still preferable to cookie/session scraping.
Setup requirements in the portal:
Read and writeNote: upstream x-cli expects the full credential set to be present, so even if you mostly care about read-only commands, it is simplest to configure all five.
If this setup feels heavier than it should be, that is because it is. X’s official developer flow is high-friction and often paid. This skill chooses the official API path because it is more stable and maintainable than browser-cookie/session approaches.
If the user wants the least brittle long-term setup, use this skill. If they want a zero-setup or unofficial path, that is a different trade-off and not what this skill is for.
x-cli looks for credentials in ~/.config/x-cli/.env.
If you already keep your X credentials in ~/.hermes/.env, the cleanest setup is:
mkdir -p ~/.config/x-cli
ln -sf ~/.hermes/.env ~/.config/x-cli/.env
Or create a dedicated file:
mkdir -p ~/.config/x-cli
cat > ~/.config/x-cli/.env <<'EOF'
X_API_KEY=your_consumer_key
X_API_SECRET=your_secret_key
X_BEARER_TOKEN=your_bearer_token
X_ACCESS_TOKEN=your_access_token
X_ACCESS_TOKEN_SECRET=your_access_token_secret
EOF
chmod 600 ~/.config/x-cli/.env
x-cli user get openai
x-cli tweet search "from:NousResearch" --max 3
x-cli me mentions --max 5
If reads work but writes fail, regenerate the access token after confirming Read and write permissions.
x-cli tweet post "hello world"
x-cli tweet get https://x.com/user/status/1234567890
x-cli tweet delete 1234567890
x-cli tweet reply 1234567890 "nice post"
x-cli tweet quote 1234567890 "worth reading"
x-cli tweet search "AI agents" --max 20
x-cli tweet metrics 1234567890
x-cli user get openai
x-cli user timeline openai --max 10
x-cli user followers openai --max 50
x-cli user following openai --max 50
x-cli me mentions --max 20
x-cli me bookmarks --max 20
x-cli me bookmark 1234567890
x-cli me unbookmark 1234567890
x-cli like 1234567890
x-cli retweet 1234567890
Use structured output when the agent needs to inspect fields programmatically:
x-cli -j tweet search "AI agents" --max 5
x-cli -p user get openai
x-cli -md tweet get 1234567890
x-cli -v -j tweet get 1234567890
Recommended defaults:
-j for machine-readable output-v when you need timestamps, metrics, or metadatax-cli is installeduser get, tweet search, me mentions)-j when extracting fields for later stepsRead and write.tweet quote is often more reliable than tweet reply.~/.hermes/.env, make sure ~/.config/x-cli/.env still points at the current file.x-cli accepts both.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".
日本語の概要は準備中です。原文の説明を表示しています。
Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
日本語の概要は準備中です。原文の説明を表示しています。
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
日本語の概要は準備中です。原文の説明を表示しています。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
日本語の概要は準備中です。原文の説明を表示しています。
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
日本語の概要は準備中です。原文の説明を表示しています。