hermes-tool-router-onboarding

hermes-tool-router-onboarding is a skill for Claude Code, Codex from AtlasOmnia/hermes-tool-router. It costs 75 tokens per session (2,022 once invoked), scanned A, original, MIT.

A first-run setup guide for Hermes Tool Router, a plugin that predicts which tool groups a request needs before the first model request and loads only those groups. It is experimental and disabled by default.

In plain words
What is it for?
Use it when setting up the router for the first time, offering its optional API key once, and verifying the installation before using it.
Why use it?
It explains the router’s behavior, handles its optional classifier-key prompt, and checks whether the router is working on a fresh Hermes profile.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when setting up the router for the first time, offering its optional API key once, and verifying the installation before using it.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/atlasomnia/hermes-tool-router/hermes-tool-router-onboarding
Install

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.

Any agent
npx skills add AtlasOmnia/hermes-tool-router --skill hermes-tool-router-onboarding
Clone the repo
git clone --depth 1 https://github.com/AtlasOmnia/hermes-tool-router

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for hermes-tool-router-onboarding

README.md
[![agentmods](https://agentmods.dev/badge/skills/atlasomnia/hermes-tool-router/hermes-tool-router-onboarding/github.svg)](https://agentmods.dev/skills/atlasomnia/hermes-tool-router/hermes-tool-router-onboarding)
Your own site
<a href="https://agentmods.dev/skills/atlasomnia/hermes-tool-router/hermes-tool-router-onboarding"><img src="https://agentmods.dev/badge/skills/atlasomnia/hermes-tool-router/hermes-tool-router-onboarding/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.

agentmods 80×15 button for hermes-tool-router-onboarding

Your own site · 80×15
<a href="https://agentmods.dev/skills/atlasomnia/hermes-tool-router/hermes-tool-router-onboarding"><img src="https://agentmods.dev/badge/skills/atlasomnia/hermes-tool-router/hermes-tool-router-onboarding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,022 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.02022
Opus 5 $0.00037 $0.01011
Sonnet 5 $0.00015 $0.00404
Haiku 4.5 $0.00007 $0.00202

Measured 12d ago against content hash e413cb47513c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

hermes-tool-router-onboarding 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 12d 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.

skills/hermes-tool-router-onboarding/SKILL.md · 149 lines

How it starts

The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hermes Tool Router — First-Run Onboarding

This skill is the onboarding surface for the hermes-tool-router plugin (the standalone pre-turn tool router). Use it once per fresh profile: explain what the router does, offer the optional classifier API key exactly once, and verify the router is live. It is written against the plugin's real behavior — read config.yaml and README.md in the plugin checkout before changing anything.

The router is disabled by default and experimental. Test it on a separate Hermes profile first; do not install it directly on a primary profile.

1. What the router does

Before the first provider request of a session, the router predicts which toolsets the request needs and narrows the live tool surface to only those toolsets, cutting first-turn token and tool-schema overhead. Key behaviors (all in this plugin, v0.2+):

  • Pre-turn toolset prediction: deterministic intent rules classify the user's first turn and load only the toolsets that request needs (hook: pre_llm_call). Measured schema reductions in the README baselines are large, but they are estimator results, not billing receipts — treat them as indicative, never as a guarantee.
  • Session-sticky surface: later turns reuse the initial routed surface instead of reclassifying and shrinking it every turn. This fixed behavior keeps the surface stable across the session.
  • Monotonic expansion: if a pruned registered tool is requested later, its owning toolset is added permanently for the session and is never re-pruned. This fixed behavior comes from the tool_request middleware and request_toolset fallback.
  • Fail open: uncertainty, invalid classifier output, missing confidence, timeout, registry mismatch, or unsupported runtime keeps the full tool surface. Nothing is ever pruned unless the router is confident (fail_open: true, confidence_threshold: 0.90).

The router is disabled by default (global.enabled: false). It must be enabled explicitly (globally or per profile) before any of the above runs.

Read the full file on GitHub · 149 lines

Changes

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.

  1. 12d ago First seen · 149 lines · 75 tokens per session scan A e413cb47513c

Subscribe to this mod's changes

hermes-tool-router-onboarding is a skill published in the GitHub repository AtlasOmnia/hermes-tool-router (117 stars, last pushed 12d ago), licensed MIT. It adds 75 tokens to every session and 2,022 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

wp-plugin-automation

Scripts and workflows to batch-test popular WordPress plugin CVEs across hundreds of domains. Covers automated plugin detection, version extraction from readme.txt, CVE matching against a curated matrix of high-impact plugin vulnerabilities (ElementsKit, Revslider, WPDM, Gravity Forms, Contact Form 7, Jetpack, WP File…

uphiago/recon-skills · 112 tokens

dspy

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming.

synthetic-sciences/openscience · 35 tokens

personal-api

Turn an Obsidian vault into an AI-readable personal identity layer. Use when setting up ME.md and AGENT.md, scaffolding the full Knowledge Palace v2 structure, onboarding AI assistants, or maintaining the vault contract. Default setup creates the complete 30.knowledge system; --minimal creates only the lightweight…

beiyuii/personal-api-skill · 68 tokens

wp-plugin-cve-hunt

Systematic approach to finding and testing CVEs for identified WordPress plugins. Covers plugin discovery, version extraction from multiple sources (readme.txt, assets, inline JS), CVE database cross-referencing with WPScan/Patchstack/NVD/NVD API, version-based vulnerability matching, exploitation PoC generation, and…

uphiago/recon-skills · 160 tokens

ml-experiment-review

Use this skill when reviewing an ML experiment, benchmark, ablation, or training run.

NeoXider/neoxider-mcp-hub · 0 tokens

m365-entra-attack

Microsoft 365 / Entra ID red-team attack chain — current 2026 reality. AADSTS code reference, user enumeration vectors (with hardening status), Smart Lockout math, Conditional Access bypass options, ROPC + SAML SSO browser flow, Burp/Playwright templates. Built from authorized red-team work where ROPC spray surfaced…

uphiago/recon-skills · 128 tokens