Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ChrisLamDev/hermes-core-skills --skill hermes-tweetgit clone --depth 1 https://github.com/ChrisLamDev/hermes-core-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/chrislamdev/hermes-core-skills/hermes-tweet)<a href="https://agentmods.dev/skills/chrislamdev/hermes-core-skills/hermes-tweet"><img src="https://agentmods.dev/badge/skills/chrislamdev/hermes-core-skills/hermes-tweet/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/chrislamdev/hermes-core-skills/hermes-tweet"><img src="https://agentmods.dev/badge/skills/chrislamdev/hermes-core-skills/hermes-tweet.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.00441 |
| Opus 5 | $0.00016 | $0.00220 |
| Sonnet 5 | $0.00007 | $0.00088 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
hermes-tweet scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Hermes Tweet
Use this skill when a coding or research agent needs current X/Twitter context without guessing API routes or bypassing account-safety gates.
Install
Install the native Hermes plugin:
hermes plugins install Xquik-dev/hermes-tweet --enable
hermes tools list
Set XQUIK_API_KEY in the Hermes runtime environment before authenticated
reads. Keep HERMES_TWEET_ENABLE_ACTIONS unset unless a workflow explicitly
needs approved account actions.
Workflow
- Use
tweet_exploreto find the relevant endpoint. - Use
tweet_readfor public search, replies, profiles, trends, and monitoring context. - Summarize the exact account action, payload, and reason before
tweet_action. - Do not guess endpoint paths or paste API keys into chat.
Good Fits
- Research X/Twitter discussions before planning a launch or incident response.
- Inspect replies and public profiles while debugging social feedback loops.
- Monitor project, product, or maintainer mentions.
- Draft and post only after the user approves the final content and account.
Note: This skill is contributed by the Xquik team and requires the Xquik Hermes Tweet plugin with a valid API key to function. For installation support, feature requests, or technical questions, please reach out to the Xquik team directly.
本技能由 Xquik 團隊貢獻，需配合 Xquik Hermes Tweet plugin 及 API key 使用。如有安裝疑問、功能建議或技術問題，歡迎直接聯絡 Xquik 團隊。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 52 lines · 33 tokens per session scan A f0da95d47939
hermes-tweet is a skill published in the GitHub repository ChrisLamDev/hermes-core-skills (9 stars, last pushed 2mo ago), licensed MIT. It adds 33 tokens to every session and 441 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
hermes-tweet
Use Xquik in Hermes Agent for public X research, monitoring, thread summaries, creator discovery & approved actions. Not affiliated with X Corp. Use when the user requests X data or a named action. Trigger with "search X", "monitor X", "post tweet", or "X trends".
hermes-tweet
Use Xquik from Hermes Agent for X search, posting, replies, likes, retweets, follows, DMs, monitors, extraction jobs, draws, media, and trends.
hermes-tweet
Search Twitter/X, read tweet replies, look up users, monitor tweets, export followers, and gate X actions through Xquik.
spectre
X/Twitter automation MCP server — 104 tools for search, posting, media upload, DMs, scheduled tweets, drafts, bookmark folders, lists, communities, topics, community notes, account settings, profile management, highlights, notifications.
gingiris-twitter-agent-ops
Twitter/X Agent Operations SOP v2 — Rebuilt from real dual-account operations. Real data: • CN account: grew from 1,150 → 3,679 followers (14 months), 1 tweet/day, OAuth1 direct post • EN account: Buffer API • Real incidents: cron silent-failed for 2 weeks unnoticed, analytics data off by 17×, thread performance worse…
tweet-card-generator
Given a topic, auto-searches for info, generates a tweet + matching data-card PNG (HTML→screenshot, clean cream-background style, multi-layout + multi-chart).