MCPInstall

multica-runtimes-and-repos

Use when a Multica runtime or daemon misbehaves: agent not running, task not claimed, runtime offline, workdir or session reuse, repository checkout.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/multica-ai/multica --skill multica-runtimes-and-repos
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads multica-runtimes-and-repos automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Multica Runtimes and Repos

Quick start

For "agent did not run" or "repo checkout failed", read the chain before changing anything:

multica agent get <agent-id> --output json
multica runtime list --output json
multica repo checkout <repo-url>

Runtime and repo commands affect active agent execution. Do not restart daemons, update runtimes, or check out arbitrary repos just to test.

Core model

A runtime is the execution target behind an agent. A daemon owns local runtime processes and claims queued tasks from the server.

The chain is:

  1. user action creates or updates an agent_task_queue row;
  2. the task points at an agent and runtime;
  3. server wakes the runtime over daemon websocket when possible;
  4. daemon polls/claims the task;
  5. server returns task context, repos, project resources, prior session/workdir hints, and task token;
  6. daemon prepares a workdir and launches the provider CLI;
  7. multica repo checkout talks to the local daemon, not directly to GitHub.

CLI

multica runtime list --output json
multica runtime usage <runtime-id> --output json
multica runtime activity <runtime-id> --output json
multica runtime update <runtime-id> --target-version <version> --output json
multica runtime delete <runtime-id>
multica repo checkout <url>
multica repo checkout <url> --ref <branch-or-sha>

runtime update and runtime delete are writes. Starting a runtime update is limited to its owner or a workspace owner/admin; the original initiator may keep polling that specific in-flight request if their admin role changes. runtime delete removes a runtime registration; if active agents are still bound, it refuses unless the user explicitly passes --cascade, which unbinds those agents and cancels their queued/running tasks before deleting the runtime. Unbinding keeps the agents and everything they own — instructions, skills, chats, labels, channel installations, autopilots and task history — and only clears agent.runtime_id; an unbound agent cannot run until it is bound to a runtime again (multica agent update <id> --runtime-id <runtime-id>), and every trigger path refuses it with agent_runtime_required. repo checkout creates a dedicated branch in the task working directory. Most runtimes use a linked worktree; Linux and Windows Codex use task-local Git metadata so a task can stage and commit without making the shared .repos cache writable.

repo checkout requires both MULTICA_DAEMON_PORT and the injected task-scoped MULTICA_TOKEN; it is intended to run inside the active daemon task and from that task's workdir (or a descendant). The local daemon authenticates the token against its active-task registry, derives workspace/task/agent identity itself, and rejects a caller-supplied workdir outside that task. If either variable is absent, you are not in the normal agent checkout path. When a project github_repo resource has resource_ref.ref, repo checkout <url> uses that ref by default for the current task; an explicit repo checkout <url> --ref <branch-or-sha> overrides it.

Task CLI boundary

The daemon injects a task-scoped mat_ credential for Multica API commands and a private task-local Multica configuration root. Inside that managed task context:

  • API commands such as issue list, issue get, and issue runs use the injected task identity and never fall back to the daemon Owner's saved Multica profile.
  • config show and config set operate only on task-local Multica state. A missing task config root fails closed.
  • auth status may verify the task identity but omits all token material from its output.
  • daemon status and daemon disk-usage report on the runtime hosting this task: status probes the daemon-injected health port, and disk-usage scans the daemon-injected workspaces root. Both refuse --profile, disk-usage also refuses --all-profiles and --workspaces-root, and its STATUS column stays blank because filling it would spend the Owner's credential.
  • Human/local profile and daemon commands — including login, logout, setup, workspace switch, local runtime profile path mutation, daemon start / stop / restart, daemon logs, and daemon probe-runtimes — are unavailable. daemon stop in particular would terminate the daemon running this task and every sibling task on it.

MULTICA_DAEMON_PORT alone is a weak, defense-in-depth signal for task-safe API and profile resolution, not task identity for human/local command rejection. Genuine tasks also carry MULTICA_AGENT_ID / MULTICA_TASK_ID, MULTICA_TASK_CONFIG_ROOT, or a daemon-managed workdir marker. When the port is the only signal, daemon status uses the selected host profile's derived health port; ordinary API and profile-resolving commands still fail closed. Host operators should not export MULTICA_DAEMON_PORT; the daemon derives its host health port from the selected profile and injects the variable into tasks itself.

The daemon still preserves the real HOME and XDG variables for provider tools such as gh, aws, kubectl, and npm. This is CLI resolution hardening, not hard filesystem confidentiality: a process under the same OS user can still open an explicitly known Owner path. Dedicated Unix users, containers, VMs, or an equivalent OS boundary are required for that stronger isolation.

Debugging an agent that did not run

Check in this order:

  1. Was a task supposed to be created? Inspect issue/comment/autopilot context.
  2. Is the assignee an agent or squad? A squad routes to its leader.
  3. Is the agent archived or bound to a runtime the actor cannot use?
  4. Is the runtime online? multica runtime list --output json.
  5. Did the daemon heartbeat recently? Runtime last_seen_at is the visible clue.
  6. Did the task get claimed or is it stuck pending/running/waiting for local directory?
  7. If repo checkout failed, classify it after checking whether repo context was present in the task/project context.

Repos

The runtime brief lists repos available to this task. Treat that list as the authority for agent checkout unless the user explicitly asks to bind a new project resource.

Workspace repos and project resources are not the same thing:

  • workspace repo metadata can appear in workspace context;
  • github_repo project resources are durable project context and can affect future tasks; optional resource_ref.ref pins the default checkout ref for tasks in that project;
  • local_directory resources point at a path owned by a daemon and carry local-machine assumptions.

Do not add a project resource just because repo checkout failed. First determine whether the user asked for durable project context or just a task checkout.

More source-backed details: references/runtimes-and-repos-source-map.md.

FAQ

What does the multica-runtimes-and-repos skill do?

Use when a Multica runtime or daemon misbehaves: agent not running, task not claimed, runtime offline, workdir or session reuse, repository checkout.

How do I install multica-runtimes-and-repos?

Run npx skills add https://github.com/multica-ai/multica --skill multica-runtimes-and-repos in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/multica-runtimes-and-repos/ (personal) or .claude/skills/multica-runtimes-and-repos/ (project).

Which AI agents can use multica-runtimes-and-repos?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is multica-runtimes-and-repos safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains multica-runtimes-and-repos?

It is published by multica-ai in multica-ai/multica. It has 45 recorded installs.

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