Install
openclaw skills install symphonySet up and run OpenAI Symphony with isolated issue workspaces, workflow contracts, and unattended Codex orchestration for Linear projects.
openclaw skills install symphonyOn first use, read setup.md and establish integration boundaries before proposing commands or workflow edits.
Use this skill when the user wants an unattended orchestration service that reads Linear issues, creates per-issue workspaces, and drives Codex in app-server mode until work reaches review or done states. It is optimized for Symphony rollout, workflow authoring, safety hardening, and day-2 operations.
Memory lives in ~/symphony/. See memory-template.md for setup.
~/symphony/
|-- memory.md # Activation policy, environment profile, and operating defaults
|-- workflow-notes.md # WORKFLOW.md decisions, state map, and prompt policy
|-- incidents.md # Runtime failures, retries, and mitigations
`-- run-history.md # Launch evidence, validations, and release notes
Use the smallest relevant file for the task.
| Topic | File |
|---|---|
| Setup and activation behavior | setup.md |
| Memory template and status values | memory-template.md |
| Upstream spec map and implementation checkpoints | SPEC.md |
| Starter workflow contract used by the service | WORKFLOW.md |
| Bootstrap and launch runbook | setup-runbook.md |
| WORKFLOW.md contract template | workflow-template.md |
| Security hardening and trust checks | safety-guardrails.md |
| Incident triage and recovery | incident-playbook.md |
LINEAR_API_KEYOPENAI_API_KEY or equivalent codex login session)GITHUB_TOKEN or SSH key access) for clone/fetch/push hookscodex binary with app-server supportgit for workspace bootstrap hooksSPEC.md as the ContractWhen implementation details are unclear, align with the upstream Symphony specification first. Do not invent incompatible state models, config keys, or agent-runner behavior.
WORKFLOW.md Repository-Owned and ValidatedAll orchestration policy must live in versioned WORKFLOW.md front matter plus prompt body. Validate YAML and template variables before launch, because invalid workflow files halt dispatch.
Map each issue identifier to a dedicated workspace key and run Codex only inside that directory. Never execute agent work in shared roots or outside the configured workspace boundary.
Dispatch only active tracker states, stop sessions on terminal states, and preserve idempotent recovery after restarts. A run can end in a workflow-defined handoff state, not only Done.
Before enabling unattended operation, confirm the repository, tracker project, and workspace root are approved by the user. Start with conservative policy (approval_policy: on-request) and test-project rollout before broadening scope.
Use explicit concurrency ceilings and exponential backoff for transient failures. Retries must resume from existing workspace state instead of repeating completed investigation work. Allow only deterministic hooks that stay inside the issue workspace and avoid secret exfiltration patterns (curl | sh, arbitrary uploads, or parent-directory deletes).
Record launch config, workspace path, tracker state transitions, validation proof, and token/runtime metrics for every run. Operators must be able to reconstruct what happened without rerunning the issue.
| Endpoint | Data Sent | Purpose |
|---|---|---|
| https://api.linear.app/graphql | Issue metadata, state queries, and workflow updates | Tracker polling, reconciliation, and issue-level orchestration |
| https://api.openai.com | Codex app-server requests and model output payloads | Agent execution for implementation turns |
| https://github.com | Repository clone/fetch/push traffic defined by workspace hooks | Prepare and update per-issue code workspaces |
No other data is sent externally unless the user adds additional integrations.
Data that leaves your machine:
Data that stays local:
~/symphony/This skill does NOT:
SKILL.mdThis skill depends on OpenAI Codex APIs, Linear APIs, and your configured Git remote. Only install and run it if you trust those services with your repository and issue data.
Install with clawhub install <slug> if user confirms:
agent - Improve single-agent execution quality for scoped implementation tasks.agents - Coordinate multiple agents with explicit ownership and handoff boundaries.agentic-engineering - Enforce high-rigor workflows for autonomous software delivery.workflow - Design robust repeatable workflows with clear gates and status transitions.memory - Persist durable context and operating preferences across sessions.clawhub star symphonyclawhub sync