sprintsai/review-hub-scores
skills/review-hub-scores/SKILL.md
Get AI readiness analysis (score, summaries, callouts, suggested actions) for a task's linked PR. Use to assess whether a PR is ready to merge.
$ install --global
skillsauthnpx skillsauth add sprintsai/lightsprint-claude-code-plugin review-hub-scoresInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- review-hub-scores
- description:
- Get AI readiness analysis (score, summaries, callouts, suggested actions) for a task's linked PR. Use to assess whether a PR is ready to merge.
Run this command to get AI readiness scores for a task's linked PR:
lightsprint review-hub scores $ARGUMENTS
Usage: review-hub scores <taskId> [--refresh]
<taskId>— Task ID (display ID likeLIG-024, bare number, or raw ID). Required.--refresh— Force-refresh signals from GitHub and trigger fresh AI analysis. Consumes credits.
Without --refresh, returns cached scores if available. If the cache is stale (signals changed since last analysis), the server may automatically trigger a fresh analysis.
Output fields
| Field | Description | |-------|-------------| | readinessScore | 0-100 readiness score (null if no scores available) | | readinessLabel | Human-readable label (e.g. "Ready", "Ready with minor issues") | | sectionSummaries | Object with section names as keys, summary strings as values | | changeCallouts | Array of notable changes or concerns | | suggestedActions | Array of recommended actions before merging | | addressal | Comment addressal analysis (which review comments were addressed) or null |
Examples
lightsprint review-hub scores LIG-024 --output json
lightsprint review-hub scores LIG-024 --refresh --output json
lightsprint review-hub scores 24 --fields readinessScore,readinessLabel
Invariants
- Scores cost credits when
--refreshtriggers fresh AI analysis. Always read cached scores first. - If
readinessScoreis null, no analysis has been run yet. Decide whether to--refreshbased on context. - If signals are stale, refresh signals first (
review-hub signals --refresh), then refresh scores. - This command may take up to 2 minutes when triggering fresh AI analysis (120s timeout).
- Task must have a linked PR.
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