SWE Ownership Risk Map

What This Skill Does

Use this skill to identify where a repository is most exposed to ownership risk, not to build a people directory.

The goal is to produce a ranked map of surfaces that are likely to become fragile because of:

• concentrated commit ownership
• high churn with few distinct contributors
• unclear or missing CODEOWNERS coverage
• low test density near important code paths
• stale or orphaned modules, scripts, or configs
• recent turnover or repeated handoffs in the same surface

The output should be suitable for scheduled maintenance: short, repeatable, and easy to compare across runs.

When To Use

Use this skill when the user wants to:

• find the highest-risk ownership hotspots in a repo
• identify likely bus-factor problems before a change or release
• run a recurring maintenance pass over high-churn or low-ownership areas
• see which surfaces need better ownership, tests, or documentation

Do Not Use

Do not use this skill for:

• assigning people to teams or building an org chart
• generic repo orientation with no ownership-risk goal
• general bug hunting or refactor planning
• security audits that are not specifically about ownership risk

Inputs To Confirm

Confirm or infer:

• repository or package scope
• time window for the analysis, if any
• whether the user wants the whole repo or a selected folder/package
• whether CODEOWNERS or similar ownership metadata is available
• whether the user wants a report-only pass or a ranked maintenance backlog

If the scope is missing, infer the current repository root and use a recent history window, but say so explicitly.

What To Optimize For

• concrete repo evidence
• honest unknowns when ownership is unclear
• a short ranked list instead of a flat dump of names
• actions that reduce ownership risk without broad rewrites
• repeatable maintenance output that can be run on a schedule

Instructions

Step 1: Define The Scope

State the exact repo, package, folder, or service being reviewed.

If the user gives a time window, respect it exactly. If they do not, use the smallest recent-history window that still gives useful signal.

Step 2: Collect Ownership Evidence

Gather evidence from sources such as:

• git history and commit authorship
• churn over the chosen time window
• CODEOWNERS or similar ownership files
• test files and nearby validation coverage
• CI or flaky-test signals tied to the surface
• recent PRs or handoff clues in commit messages when available

Prefer direct evidence over inference. When you infer ownership risk from a pattern, label it as an inference.

Step 3: Identify Risk Surfaces

Look for surfaces such as:

• files with a single dominant committer
• high-change areas with only one or two contributors
• code paths with weak tests or no nearby validation
• configs, scripts, or glue code that seem maintained by no one
• modules that have changed recently but lack clear ownership metadata
• cross-cutting surfaces touched by many changes but few distinct owners

Rank each surface by the combination of:

• bus factor
• change frequency
• test or validation coverage
• ownership clarity
• operational blast radius

Step 4: Separate Facts From Inference

For every risky surface, say:

• what is directly observed
• what is inferred
• what remains unknown

Do not invent a maintainer just to make the map look complete.

Step 5: Propose Maintenance Actions

For the highest-risk surfaces, propose the smallest sensible follow-up actions such as:

• add or update CODEOWNERS coverage
• add a small validation test near the hotspot
• document the ownership boundary in repo guidance
• reduce hidden coupling with a narrow refactor
• add a recurring review item for the surface

Keep the actions small and ownership-focused. Do not turn the map into a general cleanup backlog.

Step 6: Make It Recurring-Friendly

If the user implies a scheduled pass, include what should be compared across runs:

• changed ranking
• new or removed hotspots
• surfaces that improved after prior follow-up
• surfaces that remain orphaned or under-covered

Step 7: Keep The Output Evidence-Backed

If the repo does not have enough signal for a confident map, say so directly and list the missing evidence rather than guessing.

Output Requirements

Provide a report with these sections:

1. Scope reviewed
2. Evidence summary
3. Ranked ownership-risk surfaces
4. Recommended maintenance actions
5. Unknowns or gaps

For each ranked surface, include:

• area or files
• observed evidence
• inferred risk signal
• why it matters
• confidence level
• smallest follow-up action

For any surface where evidence is weak, include:

• what made the signal weak
• what would strengthen it
• explicit no-guess decision

Quality Bar

• Rank by ownership risk, not by contributor count alone.
• Keep the output short enough to compare between recurring runs.
• Distinguish evidence from inference.
• Prefer repository signals over people assumptions.
• Be honest when ownership is unclear or missing.
• Recommend only actions that directly reduce ownership risk.