Hermes Agent is an AI assistant that learns from its use by creating and improving skills, retaining knowledge, searching past conversations, and adapting to its users. It is for people who want to run an agent through a terminal or messaging platforms while connecting it to different AI models and scheduled tasks.
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 NousResearch/hermes-agent --skill social-media-content-calendargit clone --depth 1 https://github.com/NousResearch/hermes-agentWrote 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/nousresearch/hermes-agent/social-media-content-calendar)<a href="https://agentmods.dev/skills/nousresearch/hermes-agent/social-media-content-calendar"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/social-media-content-calendar/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/nousresearch/hermes-agent/social-media-content-calendar"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/social-media-content-calendar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00015 | $0.00814 |
| Opus 5 | $0.00008 | $0.00407 |
| Sonnet 5 | $0.00003 | $0.00163 |
| Haiku 4.5 | $0.00002 | $0.00081 |
Grade A, and why
social-media-content-calendar 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 13d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- social-media-content-calendar — 100% identical, 0 lines differ
- social-media-content-calendar — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Media Content Calendar
Plan a concrete calendar across selected social platforms. This skill owns campaign structure, post briefs, channel adaptation, approvals, and publishing verification; platform skills such as xurl own API commands. For platforms without a connector, the verified handoff ends at approved drafts for the user's scheduler — say so rather than claiming publication.
When to Use
- "Build next month's social calendar."
- "Turn this launch into posts for X, LinkedIn, Instagram, and TikTok."
- "Draft and schedule a campaign."
- "Repurpose these articles/videos into social content."
Don't use for: single one-off posts (use the platform skill directly).
Procedure
1. Define campaign constraints
Record objective, audience, offer/message, platforms, date range, cadence, voice, mandatory/prohibited claims, links, tracking convention, localization, and approval/publishing authority. Done when each proposed post has a clear business purpose.
2. Inventory source material
Collect verified product facts, launches, articles, media, testimonials with permission, brand assets, and key dates using read_file and web_extract. Mark claim owners and expiration. Done when unsupported claims and missing assets are visible.
3. Build themes and calendar slots
Create a balanced mix such as education, proof, product, community, event, behind-the-scenes, and conversation. Account for platform cadence and campaign milestones. Done when dates, platforms, themes, and objectives form a coherent calendar rather than duplicate cross-posts.
4. Write platform-specific briefs
For each post specify hook, core message, format, copy length, CTA, link, asset dimensions/content, accessibility text, tags/mentions, and success metric. Adapt rather than copy-paste between platforms. Done when a creator can produce the asset without hidden context.
5. Draft copy and assets
Load humanizer for voice; generate visuals with the image_generate tool where assets are needed. Preserve factual claims and shared campaign identity while respecting platform norms. Done when every calendar slot has draft copy and asset status.
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.
- 13d ago First seen · 71 lines · 15 tokens per session scan A f12b235ea3ee
social-media-content-calendar is a skill published in the GitHub repository NousResearch/hermes-agent (244,603 stars, last pushed today), licensed MIT. It adds 15 tokens to every session and 814 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
rubyllm
Build and maintain Ruby or Rails applications with the RubyLLM AI framework. Use for chats, agents, tools, structured output, media generation, transcription, OCR, moderation, embeddings, reranking, Rails integration, and RubyLLM upgrades; not for contributing to the framework itself.
rust-patterns
Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.
claude-api
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude…
deep-research
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
golang-patterns
Go-specific design patterns and best practices including functional options, small interfaces, dependency injection, concurrency patterns, error handling, and package organization. Use when working with Go code to apply idiomatic Go patterns.
verification-loop
A comprehensive verification system for Claude Code sessions. Use when verifying a Claude Code session's work before claiming it is complete.