ouroboros-run
FeaturedExecute a Seed specification through the workflow engine
AI & Automation 5,596 stars
559 forks Updated today MIT
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# /ouroboros:ouroboros-run
Execute a Seed specification through the Ouroboros workflow engine.
## Usage
```
/ouroboros:ouroboros-run [seed_file_or_content]
```
**Trigger keywords:** "ouroboros run", "execute seed"
## How It Works
1. **Input**: Provide seed YAML content directly or a path to a `.yaml` file
2. **Validation**: Seed is parsed and validated (goal, constraints, acceptance criteria, ontology)
3. **Execution**: The orchestrator runs the workflow with PAL routing
4. **Progress**: Real-time progress updates via session tracking
5. **Result**: Execution summary with pass/fail status
6. **Convergence**: completed runs enqueue formal evaluation by default. An
explicit rejection continues through a bounded Ralph loop until approved or
the configured evolution budget/stop condition is reached.
## Instructions
When the user invokes this skill:
### Load MCP Tools (Required first)
The Ouroboros MCP tools are often registered as **deferred tools** that must be explicitly loaded before use. **You MUST perform this step before proceeding.**
1. Use the active runtime's tool-discovery capability to find and load the execution MCP tools:
```
tool discovery query: "+ouroboros execute"
```
2. The tools will typically be named with prefix `mcp__plugin_ouroboros_ouroboros__` (e.g., `ouroboros_execute_seed`, `ouroboros_session_status`). After runtime tool discovery returns, the tools become callable.
3. If the tools are callable — already exposed, or loaded by d...
Details
- Author
- Q00
- Repository
- Q00/ouroboros
- Created
- 7 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Integrates with
Bundled in these plugins
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