veda-rank

veda-rank — Issue Deep-Dive Analyzer

When the user provides a GitHub issue URL, analyze it for career impact.

Pipeline

1. Parse the issue URL to extract owner, repo, and issue number
2. Fetch the issue details via GitHub API:

   curl -sH "Authorization: Bearer $GITHUB_TOKEN" \
     "https://api.github.com/repos/{owner}/{repo}/issues/{number}"
   

3. Fetch repo health metrics:

   curl -sH "Authorization: Bearer $GITHUB_TOKEN" \
     "https://api.github.com/repos/{owner}/{repo}"
   

4. Fetch recent PRs to calculate merge rate:

   curl -sH "Authorization: Bearer $GITHUB_TOKEN" \
     "https://api.github.com/repos/{owner}/{repo}/pulls?state=closed&per_page=30"
   

5. Check issue comments for maintainer engagement
6. Score using the formula in references/scoring.md
7. Check skill fit against references/skill-profile.md

Output format

## Issue Analysis: {issue_title}

**Repo:** {owner}/{repo} (⭐ {stars})
**Issue:** #{number} — {title}
**Labels:** {labels}
**Age:** {days} days
**Comments:** {count} ({maintainer_engaged: yes/no})

### Career Impact Score: {score}/100

| Signal | Score | Detail |
|---|---|---|
| Repo momentum | {x}/100 | {explanation} |
| Issue quality | {x}/100 | {explanation} |
| Your skill fit | {x}/100 | {explanation} |

### Verdict: {HIGH IMPACT / MEDIUM / LOW ROI}

{2-3 sentence strategic reasoning}

### Suggested approach (if verdict is HIGH or MEDIUM)

{Specific PR strategy in 3-4 sentences}