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Hermes Tweet

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wshobson
hermes-tweet

Install and operate Hermes Tweet, a Hermes Agent plugin for X/Twitter research, timeline reading, tweet analysis, and approval-gated private or state-changing operations. Use this skill when installing Hermes Tweet, researching X/Twitter accounts, monitoring launch signals, investigating mentions, auditing giveaways, or preparing gated X operations. Use proactively when a Hermes Agent workflow needs current X/Twitter context. Requires XQUIK_API_KEY for read and action tools.

Overview

Publisherwshobson
Repositoryagents
Skill namehermes-tweet
Stars
40.1K
Forks
4.3K
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by wshobson on GitHub. Read the source before you install it.

Installation

Install the Hermes Tweet AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/wshobson/agents/tree/main/plugins/hermes-tweet/skills/hermes-tweet
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/wshobson/agents.git /tmp/agents
mkdir -p .claude/skills
cp -r /tmp/agents/plugins/hermes-tweet/skills/hermes-tweet .claude/skills/hermes-tweet
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hermes Tweet in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hermes Tweet on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hermes Tweet is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Hermes Tweet

Hermes Tweet adds an X/Twitter toolset to Hermes Agent. It is useful for social listening, account research, launch monitoring, support triage, giveaway audits, and controlled workflows where private or state-changing operations stay explicit.

When to Use This Skill

Use this skill when the user wants to:

  • Install Hermes Tweet into a Hermes Agent runtime
  • Discover available X/Twitter read and action routes
  • Read X/Twitter account, tweet, trend, monitor, or search data
  • Summarize public signal before drafting responses or campaigns
  • Keep private and state-changing operations gated behind explicit operator intent

Setup

Install and enable the plugin through Hermes:

bash
hermes plugins install Xquik-dev/hermes-tweet --enable

Hermes scans plugins during installation and updates. Review each warning. A dangerous verdict blocks installation or disables an update.

Set the API key on the Hermes runtime host:

bash
export XQUIK_API_KEY="<your-key>"
export HERMES_TWEET_ENABLE_ACTIONS="false"

Keep HERMES_TWEET_ENABLE_ACTIONS false for read-first sessions. Set it to true only for an approved private read, write, monitor, webhook, extraction, draw, or media operation.

Inputs

Ask for these inputs before selecting routes:

  • Objective: research, monitoring, support triage, giveaway audit, or action prep
  • Target: account handle, tweet URL, keyword, list, monitor, or trend
  • Time window and freshness needs
  • Whether any private or state-changing operation is in scope
  • Confirmation that the Hermes runtime has XQUIK_API_KEY

Workflow

  1. Search the bundled endpoint catalog with tweet_explore to find matching routes.
  2. Read public X/Twitter data through tweet_read after selecting a catalog route.
  3. Use tweet_action for private or state-changing routes only after explicit approval.
  4. Keep API keys in environment variables or the Hermes runtime env file.
  5. Do not paste credentials into prompts, issues, PR comments, or tool inputs.
  6. Load workflow patterns when the user asks for a campaign, monitor, support, or giveaway workflow instead of a single read.

Tool Model

ToolPurpose
tweet_exploreSearch the bundled endpoint catalog without using the API key.
tweet_readCall catalog-listed public read-only endpoints when XQUIK_API_KEY is set.
tweet_actionCall private reads, writes, monitors, webhooks, extractions, draws, and media operations only when action gating is enabled.

Output Format

Return concise operational output:

text
Summary:
- What was checked and why

Read routes:
- Catalog path, input, and result summary

Action plan:
- Proposed private or state-changing operations, each awaiting explicit approval

Next check:
- Follow-up route or monitoring cadence when useful

Usage Examples

Research an account before drafting a reply:

text
Use Hermes Tweet to inspect recent public context for @example before drafting a reply.
Keep actions disabled.

Monitor a launch keyword:

text
Track X/Twitter mentions for "Example Launch" today.
Summarize themes and notable accounts. Do not post.

Prepare a guarded post:

text
Draft a launch tweet and list the exact tweet_action call you would use.
Wait for approval before any action route.

Capture structured route notes:

json
{
  "objective": "support-triage",
  "route": "/api/v1/x/search",
  "action_gate": "disabled",
  "approval_required": true
}

Troubleshooting

  • If only tweet_explore appears, configure XQUIK_API_KEY on the Hermes runtime host and reload or restart the active Hermes session.
  • If action routes are unavailable, keep public reads separate. Set HERMES_TWEET_ENABLE_ACTIONS=true only for an approved private or state-changing operation.
  • If a route does not match, use tweet_explore again and choose a catalog-listed path instead of guessing endpoints.

Best Practices

  • Treat Hermes Tweet as the Hermes-native X/Twitter layer, not a generic API wrapper.
  • Keep research read-only by default. Require approval before creating or changing monitors.
  • Use Desktop or gateway operator review before private or state-changing calls.
  • Validate the exact catalog path before calling tweet_read or tweet_action.
  • Restart gateway, cron, or long-running Hermes sessions after env changes.

See Also

The social-publishing plugin complements Hermes Tweet for broad multi-platform publishing. Hermes Tweet is focused on the Hermes Agent X/Twitter toolset and its read-first, approval-gated operating model.

See the endpoint and approval contract when a route boundary is unclear. See the official guide at https://github.com/Xquik-dev/hermes-tweet#readme.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hermes Tweet AI skill do?

Install and operate Hermes Tweet, a Hermes Agent plugin for X/Twitter research, timeline reading, tweet analysis, and approval-gated private or state-changing operations. Use this skill when installing Hermes Tweet, researching X/Twitter accounts, monitoring launch signals, investigating mentions, auditing giveaways, or preparing gated X operations. Use proactively when a Hermes Agent workflow needs current X/Twitter context. Requires XQUIK_API_KEY for read and action tools.

Why use Hermes Tweet on TypingMind?

Because you install it once and use it with any model. Hermes Tweet is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hermes Tweet in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wshobson/agents/tree/main/plugins/hermes-tweet/skills/hermes-tweet. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hermes Tweet?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hermes Tweet?

As many as you like. As long as a model supports skills, you can use Hermes Tweet with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hermes Tweet AI skill free?

Yes. It is published on GitHub by wshobson under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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