hermes-lazyown
Skill300 starsChanged 24 days agoGPL-3.0View on GitHub
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.
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
In this repository24 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- readmenator-maps/llms.txtllms.txt
- readmenator-askSkill
- readmenator-changeSkill
- readmenator-memorySkill
- readmenator-orientSkill
- run-lazyownSkill
- apt-emulationSkill
- atomic-exploitSkill
- c2-sessionSkill
- claude_md_orchestratorSkill
- claude_md_orchestratorSkill
- hermes-lazyownSkill
- lazyaddon-creatorSkill
- lazyaddon-creatorSkill
- lazy-loop-adminSkill
- lazy-loop-adminSkill
- lazyownSkill
- lazyownSkill
- loop-llmSkill
- loop-llmSkill
- marketplace-contributorSkill
- marketplace-contributorSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

