How do I install the Hermes Lazyown skill?

Run npx skillmds@latest add grisuno/hermes-lazyown in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Hermes Lazyown safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Hermes Lazyown?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Hermes Lazyown free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Hermes Lazyown?

grisuno (@grisuno) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Hermes Lazyown by grisuno — Agent Skill

Name: Hermes Lazyown
Rating: 4.2 (5 reviews)
Author: grisuno

File contents

Hermes-LazyOwn Integration

Hermes-native MCP layer for the LazyOwn red-team framework.

Location: skills/hermes-lazyown/ Server: skills/hermes-lazyown/mcp_server.py Purpose: Compact, namespaced tool surface optimized for Hermes context windows.

Architecture

Hermes Agent -> MCP -> skills/hermes-lazyown/mcp_server.py
                              |
                    +---------+---------+---------+
                    |         |         |         |
              config_bridge  compactor  sync     executor
                    |         |         |         |
              payload.json  sessions/  todo      lazyown.py

Key Files

File	Purpose
`mcp_server.py`	MCP server with namespaced tools
`config_bridge.py`	Unified config: env -> payload.json -> defaults
`output_compactor.py`	Phase-aware output compaction
`hermes_sync.py`	Checkpoint, todo sync, delegation plans
`claudemd_rules.py`	Dynamic system prompt rules
`executor.py`	Subprocess execution with PTY fallback
`constants.py`	Central constants, no magic numbers

Essential Tools (7)

Tool	Purpose
`lazyown_core_session_init`	SITREP at start of every session
`lazyown_core_set_config`	Update payload.json
`lazyown_core_run_command`	Execute LazyOwn CLI commands
`lazyown_intel_recommend_next`	AI-ranked next commands
`lazyown_auto_inject_objective`	Queue attack objectives
`lazyown_hermes_checkpoint_write`	Save state for resume
`lazyown_hermes_rules_generate`	Dynamic context rules

Namespaces

Prefix	Phase	Tools
`lazyown_core_*`	All	session_init, set_config, run_command, command_help
`lazyown_intel_*`	Intel	facts_show, recommend_next, searchsploit
`lazyown_auto_*`	Autonomous	auto_loop, inject_objective
`lazyown_hermes_*`	Hermes	checkpoint_write/read, rules_generate, delegate_plan
`lazyown_c2_*`	C2	status, get_beacons

Dynamic Rules

Call lazyown_hermes_rules_generate to inject phase-specific constraints into the system prompt.

Checkpoints

Long engagements exceed Hermes max_turns. Write checkpoints with lazyown_hermes_checkpoint_write and read them at session start with lazyown_hermes_checkpoint_read.

Setup

mcp_servers:
  hermes-lazyown:
    command: python3
    args: ["${LAZYOWN_DIR}/skills/hermes-lazyown/mcp_server.py"]
    env:
      LAZYOWN_DIR: "${LAZYOWN_DIR}"

Documentation

Full MCP playbook: skills/lazyown.md
LazyOwn skill: skills/lazyown/SKILL.md

---name: hermes-lazyowndescription: Use when running LazyOwn inside a Hermes agent session. Provides Hermes-optimized MCP tools with compact output, checkpoint resume, dynamic rules, and native delegation planning.---# Hermes-LazyOwn IntegrationHermes-native MCP layer for the LazyOwn red-team framework.**Location:** `skills/hermes-lazyown/`**Server:** `skills/hermes-lazyown/mcp_server.py`**Purpose:** Compact, namespaced tool surface optimized for Hermes context windows.## Architecture```Hermes Agent -> MCP -> skills/hermes-lazyown/mcp_server.py | +---------+---------+---------+ | | | | config_bridge compactor sync executor | | | | payload.json sessions/ todo lazyown.py```## Key Files| File | Purpose ||------|---------|| `mcp_server.py` | MCP server with namespaced tools || `config_bridge.py` | Unified config: env -> payload.json -> defaults || `output_compactor.py` | Phase-aware output compaction || `hermes_sync.py` | Checkpoint, todo sync, delegation plans || `claudemd_rules.py` | Dynamic system prompt rules || `executor.py` | Subprocess execution with PTY fallback || `constants.py` | Central constants, no magic numbers |## Essential Tools (7)| Tool | Purpose ||------|---------|| `lazyown_core_session_init` | SITREP at start of every session || `lazyown_core_set_config` | Update payload.json || `lazyown_core_run_command` | Execute LazyOwn CLI commands || `lazyown_intel_recommend_next` | AI-ranked next commands || `lazyown_auto_inject_objective` | Queue attack objectives || `lazyown_hermes_checkpoint_write` | Save state for resume || `lazyown_hermes_rules_generate` | Dynamic context rules |## Namespaces| Prefix | Phase | Tools ||--------|-------|-------|| `lazyown_core_*` | All | session_init, set_config, run_command, command_help || `lazyown_intel_*` | Intel | facts_show, recommend_next, searchsploit || `lazyown_auto_*` | Autonomous | auto_loop, inject_objective || `lazyown_hermes_*` | Hermes | checkpoint_write/read, rules_generate, delegate_plan || `lazyown_c2_*` | C2 | status, get_beacons |## Dynamic RulesCall `lazyown_hermes_rules_generate` to inject phase-specific constraints into the system prompt.## CheckpointsLong engagements exceed Hermes max_turns. Write checkpoints with `lazyown_hermes_checkpoint_write` and read them at session start with `lazyown_hermes_checkpoint_read`.## SetupRegister in Hermes config.yaml:```yamlmcp_servers: hermes-lazyown: command: python3 args: ["${LAZYOWN_DIR}/skills/hermes-lazyown/mcp_server.py"] env: LAZYOWN_DIR: "${LAZYOWN_DIR}"```## Documentation- Full MCP playbook: `skills/lazyown.md`- LazyOwn skill: `skills/lazyown/SKILL.md`

Frequently asked questions

Hermes Lazyown