# Frazer Agents, harnesses and skills

> With Frazer Agents, agents run in their own microVMs with their own identity, grants, budget and memory. Every place Frazer uses a model runs on a harness profile you choose, under one host that guarantees the cell, the budget, the Fir session, receipts and policy whatever the harness; and skills reach every harness from one registry, pinned in each session's skill lock.

Part of Frazer's docs for agents. Every page on frazer.ai: https://frazer.ai/llms.txt. Every docs page: https://frazer.ai/docs/llms.txt.

## How agents should use Frazer Agents, harnesses and skills

- You run on the harness profile your use was assigned; `frazer harnesses explain <session>` says which and why. Propose another assignment as a plan; never apply one yourself.
- Use the skills in your session's lock; never copy a skill into a repository or write to a skill folder, and propose changes as pull requests.
- An install from the Marketplace is a person's decision: search and trial agents, never install one yourself.

## Pages

- [Frazer Agents](https://frazer.ai/docs/agents.md?from=llms-txt): Always-on and triggered agents that Frazer hosts, wakes and supervises. Each one has its own identity, grants, budget and microVM, on your servers or the Frazer fleet.
- [Harnesses](https://frazer.ai/docs/agents/harnesses.md?from=llms-txt): Every place Frazer uses a model runs on a harness you choose, with the Frazer harness as the default: one host that guarantees the same cell, budget, session, receipts and policy whatever the harness, harness profiles assigned per use, the Lab to try, compare, simulate and calibrate harnesses on your own work, models switched inside a stage, and public postmortems.
- [Frazer Skills](https://frazer.ai/docs/agents/skills.md?from=llms-txt): Frazer Skills: skills for every agent in your organization: your own skill repositories synced on every merge, public skills imported through twelve checks, skill sets by layer, one store delivered to every harness, a skill lock per session, a record of which skills each session used, analytics tied to outcomes, evals on every change, suggestions to improve a skill, and gaps where agents struggled with no skill.

## Optional

- [Full text of these pages](https://frazer.ai/docs/agents/llms-full.txt): 3 pages, 94,415 characters, about 23,604 tokens