Agent Skills
› microsoft/Generative-AI-for-beginners-dotnet
› ralph-two-pass-scan
ralph-two-pass-scan
GitHub通过两遍扫描优化 GitHub Issue 处理，首遍轻量列表过滤减少 API 调用，次遍按需获取详情，提升监控效率。
Trigger Scenarios
需要高效扫描 GitHub Issues
降低 GitHub API 请求次数
Install
npx skills add microsoft/Generative-AI-for-beginners-dotnet --skill ralph-two-pass-scan -g -y
SKILL.md
Frontmatter
{
"name": "ralph-two-pass-scan",
"domain": "work-monitoring",
"source": "extracted",
"confidence": "high",
"description": "Cuts GitHub API calls by separating lightweight list scanning from full hydration"
}
Skill: Ralph — Two-Pass Issue Scanning
Confidence: high Domain: work-monitoring Last validated: 2026-03-24
Context
Cuts GitHub API calls from N+1 to ~7 per round (~72% reduction) by separating list scanning from full hydration. Addresses the scanning inefficiency described in issue #596.
Pattern
Pass 1 — Lightweight Scan
gh issue list --state open --json number,title,labels,assignees --limit 100
Skip hydration if ANY of these match:
| Condition | Skip reason |
|---|---|
assignees non-empty AND no status:needs-review |
Already owned |
Labels contain status:blocked or status:waiting-external |
Externally gated |
Labels contain status:done or status:postponed |
Closed loop |
Title matches stale/noisy pattern ([chore], [auto]) |
Low-signal |
Pass 2 — Selective Hydration
For each issue surviving Pass 1:
gh issue view <number> --json number,title,body,labels,assignees,comments,state
Then apply normal Ralph triage logic. Rule of thumb: hydrate ≤ 30% of scanned list. If more than 30% survive Pass 1, tighten filter rules.
Version History
- bd4e082 Current 2026-08-20 14:06
