Readiness scanner: cross-customer feedback loop — aggregate gap reports to decide what GitGalaxy learns next
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Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 12/100
Research direction
This is design work spanning a sharing format, an aggregation tool, a worked example and a process note, with no files or entry points named in the payload. Start by reading the linked readiness scanner epic and #4710 to learn the existing report format and priority process. Done would need an agreed JSON sharing schema, a working aggregation tool, and the example output, which the owner must approve first.
Written by the indexing model from the issue text.
Description
What. Customers (or our own trial runs) can share the anonymised readiness JSON. A tool aggregates many reports into a demand-ranked backlog: which unsupported features block the most programs across all estates. That drives what we build next (demand decides breadth) and feeds #4710 priorities.
Acceptance.
- An aggregation tool and report.
- A documented sharing format with no source and optional redaction.
- A worked example aggregating the burned estates plus the census corpora.
- A process note on how it feeds issue priorities.
Part of the estate readiness scanner epic (linked from the epic). Owner-approved direction, 2026-10-08.
🤖 Generated with Claude Code
- Dominant language
- Python
- Stars
- 57
- Forks
- 11
- Avg merge
- 1h 35m
- Merged PRs (30d)
- 975
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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