Glossary
Context Window
Section titled “Context Window”The amount of text a model can process in a single call. Exceeding it causes truncation or failure.
Harness
Section titled “Harness”The interface to the models: the CLI, IDE extension, or application that orchestrates prompts, tools, and context. See Harness Selection.
Keepers
Section titled “Keepers”Repository Maintainers or higher. They endorse proposals, resolve objections, and ratify additions to SHRINE. See Governance.
Orchestration
Section titled “Orchestration”Coordinating multiple models, agents, or pipeline stages so each handles the part of a task it is best suited for.
Quorum
Section titled “Quorum”A majority of current keepers. Required to override a standing objection during ratification.
Ratification
Section titled “Ratification”The final step of the proposal lifecycle: after two keeper endorsements and the objection window, the draft PR merges and the content becomes part of SHRINE. See Governance.
Routing
Section titled “Routing”Selecting which model handles which task based on complexity, cost, and capability requirements.
Scaffolding
Section titled “Scaffolding”Workarounds, wrappers, and patterns built to compensate for model limitations. May become obsolete as models improve.
SHRINE
Section titled “SHRINE”Stable-Kernel Hosted Reasoning & Inference Network Environment. The org’s open forum and governance site for how we build with AI.
Skills
Section titled “Skills”Packaged, reusable instructions for accomplishing specific tasks efficiently.
Subagent
Section titled “Subagent”An agent spawned by a primary agent to handle a scoped task, often in parallel with others. Keeps the main context lean and the work isolated.
TTV (Tokens to Value)
Section titled “TTV (Tokens to Value)”How much model consumption it takes to produce a successful, useful outcome. The north star metric: maximum value per token, not minimum token usage.