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Open or drive the Ouroboros settings GUI (browser, TUI, or conversational fallback)

From plugin
ouroboros
6.4k26 skills22 agents3 hooks1 MCP

Claude Code

$ npx -y skills add Q00/ouroboros --skill config --agent claude-code

SKILL.md

config.SKILL.md
name: ouroboros-config
description: "Open or drive the Ouroboros settings GUI (browser, TUI, or conversational fallback)"

/ouroboros:ouroboros-config

Edit `~/.ouroboros/config.yaml`: global and per-stage runtime and model choices, the LLM backend, install badges for missing CLIs, and env-override warnings.

ooo config
/ouroboros:ouroboros-config

Instructions

Pick the branch by one question: **can the user open a browser pointed at this machine?** Run commands with the active runtime's `run_shell` capability.

Branch A: local harness on the user's own machine

1. Launch in the background (it serves until stopped):

   if command -v ouroboros >/dev/null 2>&1; then
     ouroboros config
   else
     uvx --python '>=3.12' --from 'ouroboros-ai[tui]' ouroboros config
   fi

In a non-interactive context it opens the Ouroboros console (`ouroboros gui`) on its Agents & models page in the browser, reusing a console that is already running. The `uvx` fallback covers a plugin-only install where `ouroboros` is not on `PATH`; in a development checkout use `uv run ouroboros config`.

2. Relay the `http://localhost:<port>` line in case the browser did not open.

3. Tell the user: edit, Save, then ask you to stop the server. A running MCP server may need a reconnect to pick up backend changes. `ooo config` reopens the settings any time; a saved model choice is never locked.

Branch B: remote host the user can reach (SSH box, home server)

ouroboros config --web --host 0.0.0.0 --no-browser

Relay the printed URL with this host's address substituted, plus the SSH tunnel fallback it prints (`ssh -L <port>:localhost:<port> <this-host>`).

Branch C: chat gateway with no browser path (e.g. hermes driven from Discord)

Do not start a server nobody can reach. Drive the same settings in chat:

1. Show the current state with `ouroboros config show`. 2. Offer a short menu with current values (default agent, per-stage agents, and models: `auto`, a tier, or a model id for every role) and ask what to change. 3. Apply each choice with the validated setter (same write path as the GUI):

   ouroboros config set orchestrator.runtime_backend <agent>
   ouroboros config set orchestrator.runtime_profile.stages.<interview|execute|evaluate|reflect> <agent>
   ouroboros config set models.default <auto|frugal|standard|frontier|model>  # every role
   ouroboros config set models.pin true                            # run the per-role ids below
   ouroboros config set clarification.default_model <model>        # interview & seed
   ouroboros config set execution.default_model <model>            # execute
   ouroboros config set evaluation.semantic_model <model>          # evaluate
   ouroboros config set resilience.reflect_model <model>           # reflect
   ouroboros config set llm.backend <backend>                      # internal LLM calls

4. Confirm with `ouroboros config show` and summarize what changed.

All branches

Relay any rejected `set` validation error or missing-dependency hint (`pip install 'ouroboros-ai[tui]'`) verbatim. `ouroboros config undo` restores the configuration saved before the last change.

RFC #1392 State Breadcrumb Footer

End the final response with exactly one line `◆ <current state> → next: <recommended action>`. Derive the state from live session state via `ouroboros_session_status` when available, otherwise from this skill's actual outcome. Never use a linear `Step N of M` footer; when the next step is a real choice, list 2-3 options.

Read more
@q00
Ships withouroboros

Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.

6.4k26 skills22 agents1 MCP
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Questions about config.

Which coding agents can use config?
config installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.