CRITICAL fixes: - Installation: Remove false prerequisites (installer auto-installs everything except git) - Tools: Remove non-existent 'web_crawl' tool from tools table - Memory: Remove non-existent 'read' action (only add/replace/remove exist) - Code execution: Fix 'search' to 'search_files' in sandbox tools list - CLI commands: Fix --model/--provider/--toolsets/--verbose as chat subcommand flags IMPORTANT fixes: - Installation: Add missing installer features (Node.js, ripgrep, ffmpeg, skills seeding) - Installation: Add 6 missing package extras to table (mcp, honcho, tts-premium, etc) - Installation: Fix mkdir to include all directories the installer creates - Quickstart: Add OpenAI Codex to provider table - CLI: Fix all 'hermes --flag' to 'hermes chat --flag' across all docs - Configuration: Remove non-existent --max-turns CLI flag - Tools: Fix 'search' to 'search_files', add missing 'process' tool - Skills: Remove skills_categories() (not a registered tool) - Cron: Remove unsupported 'daily at 9am' schedule format - TTS: Fix output directory to ~/.hermes/audio_cache/ - Delegation: Clarify depth limit wording - Architecture: Fix default model, chat() signature, file names - Contributing: Fix Python requirement from 3.11+ to 3.10+ - CLI reference: Add missing commands (login, tools, sessions subcommands) - Env vars: Fix TERMINAL_DOCKER_IMAGE default, add HERMES_MODEL
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sidebar_position, title, description
| sidebar_position | title | description |
|---|---|---|
| 2 | Skills System | On-demand knowledge documents — progressive disclosure, agent-managed skills, and the Skills Hub |
Skills System
Skills are on-demand knowledge documents the agent can load when needed. They follow a progressive disclosure pattern to minimize token usage and are compatible with the agentskills.io open standard.
All skills live in ~/.hermes/skills/ — a single directory that serves as the source of truth. On fresh install, bundled skills are copied from the repo. Hub-installed and agent-created skills also go here. The agent can modify or delete any skill.
Using Skills
Every installed skill is automatically available as a slash command:
# In the CLI or any messaging platform:
/gif-search funny cats
/axolotl help me fine-tune Llama 3 on my dataset
/github-pr-workflow create a PR for the auth refactor
# Just the skill name loads it and lets the agent ask what you need:
/excalidraw
You can also interact with skills through natural conversation:
hermes chat --toolsets skills -q "What skills do you have?"
hermes chat --toolsets skills -q "Show me the axolotl skill"
Progressive Disclosure
Skills use a token-efficient loading pattern:
Level 0: skills_list() → [{name, description}, ...] (~3k tokens)
Level 1: skill_view(name) → Full content + metadata (varies)
Level 2: skill_view(name, path) → Specific reference file (varies)
The agent only loads the full skill content when it actually needs it.
SKILL.md Format
---
name: my-skill
description: Brief description of what this skill does
version: 1.0.0
metadata:
hermes:
tags: [python, automation]
category: devops
---
# Skill Title
## When to Use
Trigger conditions for this skill.
## Procedure
1. Step one
2. Step two
## Pitfalls
- Known failure modes and fixes
## Verification
How to confirm it worked.
Skill Directory Structure
~/.hermes/skills/ # Single source of truth
├── mlops/ # Category directory
│ ├── axolotl/
│ │ ├── SKILL.md # Main instructions (required)
│ │ ├── references/ # Additional docs
│ │ ├── templates/ # Output formats
│ │ └── assets/ # Supplementary files
│ └── vllm/
│ └── SKILL.md
├── devops/
│ └── deploy-k8s/ # Agent-created skill
│ ├── SKILL.md
│ └── references/
├── .hub/ # Skills Hub state
│ ├── lock.json
│ ├── quarantine/
│ └── audit.log
└── .bundled_manifest # Tracks seeded bundled skills
Agent-Managed Skills (skill_manage tool)
The agent can create, update, and delete its own skills via the skill_manage tool. This is the agent's procedural memory — when it figures out a non-trivial workflow, it saves the approach as a skill for future reuse.
When the Agent Creates Skills
- After completing a complex task (5+ tool calls) successfully
- When it hit errors or dead ends and found the working path
- When the user corrected its approach
- When it discovered a non-trivial workflow
Actions
| Action | Use for | Key params |
|---|---|---|
create |
New skill from scratch | name, content (full SKILL.md), optional category |
patch |
Targeted fixes (preferred) | name, old_string, new_string |
edit |
Major structural rewrites | name, content (full SKILL.md replacement) |
delete |
Remove a skill entirely | name |
write_file |
Add/update supporting files | name, file_path, file_content |
remove_file |
Remove a supporting file | name, file_path |
:::tip
The patch action is preferred for updates — it's more token-efficient than edit because only the changed text appears in the tool call.
:::
Skills Hub
Search, install, and manage skills from online registries:
hermes skills search kubernetes # Search all sources
hermes skills install openai/skills/k8s # Install with security scan
hermes skills inspect openai/skills/k8s # Preview before installing
hermes skills list --source hub # List hub-installed skills
hermes skills audit # Re-scan all hub skills
hermes skills uninstall k8s # Remove a hub skill
hermes skills publish skills/my-skill --to github --repo owner/repo
hermes skills snapshot export setup.json # Export skill config
hermes skills tap add myorg/skills-repo # Add a custom source
All hub-installed skills go through a security scanner that checks for data exfiltration, prompt injection, destructive commands, and other threats.
Trust Levels
| Level | Source | Policy |
|---|---|---|
builtin |
Ships with Hermes | Always trusted |
trusted |
openai/skills, anthropics/skills | Trusted sources |
community |
Everything else | Any findings = blocked unless --force |
Slash Commands (Inside Chat)
All the same commands work with /skills prefix:
/skills search kubernetes
/skills install openai/skills/skill-creator
/skills list