Pick work with fewer blind spots.
-Score blockers, lane fit, queue pressure, and local branch preflight before opening another PR.
-Gittensor contribution intelligence
-Decision intelligence for Gittensor contributors and maintainers.
-- Use MCP and GitHub App signals to help Gittensor miners choose better work, understand score blockers, - reduce maintainer noise, and ship cleaner Gittensor submissions. -
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- Score blockers, lane fit, queue pressure, and local branch preflight before opening another PR.
-Confirmed-miner comments, configured labels, reviewability context, and public-safe next steps.
-Metadata-only MCP branch analysis for Codex, Claude, Cursor, and local automation.
-Config quality, label readiness, maintainer-lane handling, and contribution intake health.
-When to use it
-Start now
+One local command gives your agent lane fit, queue pressure, score blockers, and a public-safe PR packet.
Before opening a PR, check lane fit, linked issue expectations, validation evidence, and duplicate risk.
-After approvals, rerun scoreability projections with realistic pending-merge assumptions.
-When open PR pressure is high, decide whether cleanup beats opening new work.
-When a maintainer wants confirmed-miner context, keep the public surface quiet and sanitized.
+gittensory-mcp analyze-branch --login YOUR_GITHUB_LOGIN --json
What Gittensory is
-Gittensor context
+- Gittensory is not a Gittensor frontend. It is the private signal layer behind better Gittensor contributions: - official miner context, registry lanes, queue pressure, scoreability projections, - maintainer friction, and public-safe PR packets. + Gittensory reads the Gittensor and GitHub signals that affect contribution quality: + registered repo lanes, miner history, open PR pressure, linked issue context, and maintainer friction. +
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