Answers questions about a codebase using source-grounded evidence. Every factual claim must cite a specific file and line; ambiguous or unsupported questions return insufficientevidence instead of a guess.
Looks up "glossary " on English Wikipedia and returns a source-grounded definition rendered as a web page. Every claim cites the exact snapshot line carrying the term; unknown terms return insufficientevidence instead of a guess.
Route any query to exactly one documented Open Mind capability (glossary / structure / search) using the deterministic if-else floor — the mode where routing never depends on a model. The decision is grounded by citing the capability's documented registry line. Runs Open Mind's real Python implementation through the…
Answer code-structure questions (definition sites, usage sites) from Open Mind's deterministic structure map — real defs, imports and call sites recovered from the corpus code, never invented nodes or edges. Runs Open Mind's real Python implementation through the skill bridge.
Resolve a term against Open Mind's deterministic, source-traceable glossary — verbatim definitions with file:line provenance, exact-token lookup, honest "not found" for unknown terms. Runs Open Mind's real Python implementation through the skill bridge.
Enrich an Open Mind project's glossary with standard term definitions from Wikipedia. For each already-extracted term, look up its authoritative Wikipedia definition, tidy it, and write it back to the glossary as a separate, attributed field; terms with no confident match keep their verbatim in-project definition. Use…
Route a request to exactly one Open Mind capability (glossary / structure / search). A local model may decide when ready, but its choice is validated against the known capability set and falls back to a deterministic if-else floor — the model never invents or overrides a capability unchecked.
Build deterministic structure / dependency / call / entry-point-flow graphs from a repository's real code, with source-traceable file nodes and definitions. No invented nodes or edges; ambiguous references are flagged, not guessed.
Extract a project's term/acronym definitions VERBATIM from its own authoritative sources, each with file:line provenance and a grounded usage profile; resolve a term deterministically or return an honest "not found" — never generated.