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akillness/jeo-skills253 installs

github-repo-candidate-quality-gate

Convert noisy GitHub repository search results into recommendation-grade candidate lists with explicit metadata, freshness, traction signal, provenance labels, and rollback-safe reporting for maintenance PR workflows.

How do I install this agent skill?

npx skills add https://github.com/akillness/jeo-skills --skill github-repo-candidate-quality-gate
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill provides a structured framework for filtering and triaging GitHub repository search results based on metadata, activity, and quality signals. It defines a deterministic gate process to generate recommendations while preserving raw discovery data. No security risks or malicious patterns were detected.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

GitHub Repo Candidate Quality Gate

Use this skill when broad GitHub search output is too noisy for merge-ready recommendations.

When to use

  • You already ran gh search repos (or equivalent) and need recommendation-grade keeps.
  • You must preserve broad discovery evidence while filtering keeps deterministically.
  • You need lane-level status + degraded-cause reporting for unattended cron review.

Minimum keep metadata

For every kept candidate, capture all fields:

  • full_name
  • url
  • license
  • pushed_at (or updated_at fallback)
  • archived
  • stars
  • one-line fit rationale
  • provenance label

Quality gate order

  1. License gate: drop missing/unknown license unless explicit exception rationale.
  2. Archive gate: drop archived repos by default.
  3. Freshness gate: drop if pushed_at older than 24 months unless exception + risk.
  4. Fit gate: drop keyword-only mismatches (low-fit).
  5. Signal gate: keep broad discovery evidence, but recommendation-grade keeps require traction (default: stars >= 3) or explicit adoption rationale.

Reporting contract

  • Keep and publish full discovery counts even when keeps are sparse.
  • Emit lane_status: pass|degraded.
  • Emit degraded_causes counts using: license, stale, low-fit, archived, low-signal, no-results.
  • When a lane ends with raw_count == 0 after documented recovery, include no-results explicitly to keep degraded reports deterministic.
  • Include lane health metrics: kept_count, raw_count, median_stars_raw, zero_star_raw.
  • State provenance labels used (direct page retrieval, indexed snippet, etc.).

Rollback-safe operation

  • Never delete raw evidence files.
  • If stricter gates reduce keep counts too far, preserve output but mark lane degraded.
  • Allow exception keeps only when rationale + risk note are explicit.

Example

  • Input: 30 raw hits, many zero-star repos.
  • Output: discovery evidence retained, recommendation keeps filtered by metadata/freshness/signal gates, degraded causes documented for reviewer.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/akillness/jeo-skills/github-repo-candidate-quality-gate">View github-repo-candidate-quality-gate on skillZs</a>