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 inference-sh-cligit 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/inference-sh-cli)<a href="https://agentmods.dev/skills/nousresearch/hermes-agent/inference-sh-cli"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/inference-sh-cli/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/inference-sh-cli"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/inference-sh-cli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Supply Chain · line 40 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Tool Misuse · line 40 Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
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 | $0.00024 | $0.01250 |
| Opus 5.5 | $0.00010 | $0.00500 |
| Sonnet 5.5 | $0.00005 | $0.00250 |
| Haiku 4.5 | $0.00002 | $0.00125 |
Grade C, and why
inference-sh-cli scanned grade C with 2 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 1mo 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://cli.inference.sh | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://cli.inference.sh | sh Copies of this mod
8 near-identical copies found in the catalogue:
- inference-sh-cli — 100% identical, 0 lines differ
- inference-sh-cli — 100% identical, 0 lines differ
- inference-sh-cli — 100% identical, 0 lines differ
- inference-sh-cli — 92% identical, 3 lines differ
- inference-sh-cli — 92% identical, 3 lines differ
- inference-sh-cli — 92% identical, 3 lines differ
- inference-sh-cli — 91% identical, 5 lines differ
- inference-sh-cli — 91% identical, 9 lines differ
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
inference.sh CLI
Run 150+ AI apps in the cloud with a simple CLI. No GPU required.
All commands use the terminal tool to run infsh commands.
When to Use
- User asks to generate images (FLUX, Reve, Seedream, Grok, Gemini image)
- User asks to generate video (Veo, Wan, Seedance, OmniHuman)
- User asks about inference.sh or infsh
- User wants to run AI apps without managing individual provider APIs
- User asks for AI-powered search (Tavily, Exa)
- User needs avatar/lipsync generation
Prerequisites
The infsh CLI must be installed and authenticated. Check with:
infsh me
If not installed:
curl -fsSL https://cli.inference.sh | sh
infsh login
See references/authentication.md for full setup details.
Workflow
1. Always Search First
Never guess app names — always search to find the correct app ID:
infsh app list --search flux
infsh app list --search video
infsh app list --search image
2. Run an App
Use the exact app ID from the search results. Always use --json for machine-readable output:
infsh app run <app-id> --input '{"prompt": "your prompt here"}' --json
3. Parse the Output
The JSON output contains URLs to generated media. Present these to the user with MEDIA:<url> for inline display.
Common Commands
Image Generation
# Search for image apps
infsh app list --search image
# FLUX Dev with LoRA
infsh app run falai/flux-dev-lora --input '{"prompt": "sunset over mountains", "num_images": 1}' --json
# Gemini image generation
infsh app run google/gemini-2-5-flash-image --input '{"prompt": "futuristic city", "num_images": 1}' --json
# Seedream (ByteDance)
infsh app run bytedance/seedream-5-lite --input '{"prompt": "nature scene"}' --json
# Grok Imagine (xAI)
infsh app run xai/grok-imagine-image --input '{"prompt": "abstract art"}' --json
Video Generation
# Search for video apps
infsh app list --search video
# Veo 3.1 (Google)
infsh app run google/veo-3-1-fast --input '{"prompt": "drone shot of coastline"}' --json
# Seedance (ByteDance)
infsh app run bytedance/seedance-1-5-pro --input '{"prompt": "dancing figure", "resolution": "1080p"}' --json
# Wan 2.5
infsh app run falai/wan-2-5 --input '{"prompt": "person walking through city"}' --json
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 157 lines · 24 tokens per session scan C 85fba8537293
inference-sh-cli is a skill published in the GitHub repository NousResearch/hermes-agent (255,268 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 1,250 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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claude-api
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Call Claude from your HTML artifacts via window.claude.complete.
pydantic-ai
Build production-ready AI agents with PydanticAI — type-safe tool use, structured outputs, dependency injection, and multi-model support.