sinc-LLMCapabilities
- Six named prompt bands
- Missing-band detection and structured prompt building
- CLI and library interfaces; optional model-backed execution
Public project · Python · CLI · MCP
sinc-LLM
Make the missing parts of a prompt visible.
A prompt toolkit for persona, context, data, constraints, format and task, with structured output and a scoring heuristic.
MIT
Software use follows the repository’s terms. Installation, integration and model usage are separate considerations.
- Prompt fields
- Structure + inspect
- Review before execution
A guide to how the project is used. Read its requirements and limits before installation.
Your starting point
Prompts whose role, inputs, constraints or output format are incomplete.
Important requirements remain implicit inside unstructured prose.
The capability to add
Inspect and organize the instructions before execution.
The toolkit represents six prompt bands, detects missing fields and provides CLI/library operations for structured prompts.
What’s in the project
A tool you can inspect.
Requirements
- Python 3.10+ according to the repository
- Provider configuration and usage for optional model-backed features
Important limits
- The scoring heuristic and signal analogy do not guarantee factual accuracy or eliminate hallucinations.
- Optional provider-backed execution has separate configuration and usage requirements.
A useful fit
Consider this when…
Developers who want explicit prompt structure and inspectable input fields.
A different starting point
Choose another approach when…
Buyers expecting a mathematical guarantee of truthful model output.
Inspect the implementation
Public source, with a specific scope.
The repository and the files below show the implementation available to inspect. They do not establish results for your workflow.
Reviewed source snapshot: 5d8941ca5448.
Compatibility and behavior must be checked in your environment. No customer-result or quality-improvement guarantee is implied.
Code and implementation help
Choose the help you need.
Software. MIT. Read the repository’s terms and installation guide.
Setup and integration. Bring your current tools, a workflow and your desired result. Scope, fees, delivery and support are confirmed before work starts.
Operating costs. Existing CLI subscriptions, model-provider usage and hosting may apply depending on the tool and your configuration.
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