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High-level deployment wrapper over RepoBrain core with graph-first knowledge injection and all-file support. Exposes `refresh_filesystem` and `ask_filesystem` for building and querying the knowledge graph.
Passed 21 of 24 test cases with the skill, and 6 of 24 without it.
and 17 more in the full report
15 fixed6 passed either way3 still failing0 broke1 errored
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
Besides generating graph, data, media, and document index files, what two existing markdown files under `.repobrain/` are maintained?
| Checked | Without skill | With skill |
|---|---|---|
| Mentions conventions.md as a preserved file | Missed | Passed |
| Mentions structure.md as a preserved file | Missed | Passed |
The instructions your model reads when the skill loads.
Provide a high-level deployment wrapper over RepoBrain core, with graph-first knowledge injection and all-file support (code, docs, data, media metadata).
refresh_filesystem(workspace=".", full=False)ask_filesystem(question, workspace=".")Refresh automatically chooses a first complete build, matching interrupted-task
resume, committed-diff update, or no-op. full=True always starts a new complete
build. The workspace defaults to the current directory and must be a clean Git
worktree. Ask stays read-only and only suggests rb-refresh when knowledge is
stale. Both refresh surfaces report failures without replacing usable knowledge.
.repobrain/:
knowledge_graph.jsonknowledge_graph.mdknowledge_graph.mmddocument_index.mddata_overview.mdmedia_manifest.mdconventions.md and structure.mdrb-refresh, rb-ask, rb-mcp) remain valid.RB_ENABLE_LAYER_ALIASES=0.structure.md and
conventions.md context.test cases passed, vs 6 / 24 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.