본문으로 건너뛰기
cccskills
무료GitHub에 공개

managing-codeball

Use when working with Codeball — codeBall AI-powered pull request risk assessment including automatic PR quality scoring, risk classification, and auto-approval for low-risk changes. Use when configuring CodeBall for automated PR triage, risk-based review routing, and review workload optimization.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md5.2 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Managing CodeBall

Overview

Manage CodeBall AI-powered PR risk assessment, including automatic quality scoring, risk classification, auto-approval for safe changes, and integration with review workflows.

Key Capabilities

  • Automatically assess PR risk level using AI analysis
  • Auto-approve low-risk PRs to reduce reviewer burden
  • Classify PRs by risk: low, medium, high
  • Integrate risk scores into existing review workflows
  • Track risk assessment accuracy over time
  • Configure risk thresholds and auto-approval policies

Workflow

1 — Risk Assessment Configuration

RISK ASSESSMENT SETUP
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[ ] Enable AI risk scoring: YES / NO
[ ] Risk classification thresholds:
    - Low risk (auto-approve eligible): score < ___
    - Medium risk (standard review): score ___ - ___
    - High risk (senior review required): score > ___
[ ] Analysis scope:
    - All PRs: YES / NO
    - Exclude draft PRs: YES / NO
    - Exclude WIP PRs: YES / NO

2 — Auto-Approval Policy

AUTO-APPROVAL RULES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[ ] Enable auto-approve for low-risk PRs: YES / NO
[ ] Additional conditions for auto-approve:
    [ ] All CI checks pass
    [ ] PR size < ___ lines
    [ ] No changes to critical paths (auth, payments, etc.)
    [ ] Author has > ___ merged PRs
[ ] Label auto-approved PRs: YES / NO
[ ] Post approval comment: YES / NO

3 — Review Routing

RISK-BASED ROUTING
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[ ] Low risk: auto-approve or assign to any reviewer
[ ] Medium risk: assign to team reviewer
[ ] High risk: assign to senior engineer + additional reviewer
[ ] Critical risk: assign to tech lead + security review
[ ] Add risk label to PR: YES / NO

Common Operations

Risk Score Dashboard

View aggregate risk scores across PRs, trending over time.

Auto-Approval Audit

Review auto-approved PRs to validate AI assessment accuracy.

Threshold Tuning

Adjust risk thresholds based on false positive/negative rates.

Troubleshooting

IssueCauseFix
All PRs marked high riskThreshold too lowIncrease high-risk threshold based on score distribution
False auto-approvalsThreshold too permissiveLower auto-approve threshold or add conditions
Risk score not appearingGitHub App permissionsVerify CodeBall app has read access to PR content
Assessment delayedQueue backlogCheck CodeBall service status

Output Format

Present results as a structured report:

Managing Codeball Report
════════════════════════
Resources discovered: [count]

Resource       Status    Key Metric    Issues
──────────────────────────────────────────────
[name]         [ok/warn] [value]       [findings]

Summary: [total] resources | [ok] healthy | [warn] warnings | [crit] critical
Action Items: [list of prioritized findings]

Target ≤50 lines of output. Use tables for multi-resource comparisons.

Anti-Hallucination Rules

  1. NEVER assume resource names — always discover via CLI/API in Phase 1 before referencing in Phase 2.
  2. NEVER fabricate metric names or dimensions — verify against the service documentation or --help output.
  3. NEVER mix CLI commands between service versions — confirm which version/API you are targeting.
  4. ALWAYS use the discovery → verify → analyze chain — every resource referenced must have been discovered first.
  5. ALWAYS handle empty results gracefully — an empty response is valid data, not an error to retry.

Counter-Rationalizations

ShortcutCounterWhy
"I'll skip discovery and check known resources"Always run Phase 1 discovery firstResource names change, new resources appear — assumed names cause errors
"The user only asked for a quick check"Follow the full discovery → analysis flowQuick checks miss critical issues; structured analysis catches silent failures
"Default configuration is probably fine"Audit configuration explicitlyDefaults often leave logging, security, and optimization features disabled
"Metrics aren't needed for this"Always check relevant metrics when availableAPI/CLI responses show current state; metrics reveal trends and intermittent issues
"I don't have access to that"Try the command and report the actual errorAssumed permission failures prevent useful investigation; actual errors are informative

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

cloudthinker-ai/CloudSkills62026년 4월 5일 업데이트

Use when working with Alloydb — google AlloyDB instance analysis, query insights, columnar engine optimization, maintenance windows, and cluster health.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

cloudthinker-ai/CloudSkills62026년 4월 5일 업데이트

Use when working with Aqua — aqua Security platform analysis. Covers container runtime protection, image assurance policies, compliance frameworks, vulnerability management, workload protection, and registry scanning. Use when analyzing container security posture, reviewing image compliance, investigating runtime alerts, or auditing security policies.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

cloudthinker-ai/CloudSkills62026년 4월 5일 업데이트

Use when working with Bigquery — google BigQuery job analysis, slot utilization, cost analysis, dataset management, and query optimization.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

cloudthinker-ai/CloudSkills62026년 4월 5일 업데이트

Use when working with Cassandra — apache Cassandra keyspace analysis, compaction strategies, repair status, nodetool operations, and cluster health monitoring.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

cloudthinker-ai/CloudSkills62026년 4월 5일 업데이트

Use when working with Checkov — checkov infrastructure-as-code security scanning. Covers Terraform, CloudFormation, Kubernetes, and Dockerfile scanning, policy management, custom checks, compliance frameworks, and suppression management. Use when scanning IaC for security misconfigurations, evaluating compliance, managing custom policies, or reviewing scan results.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

cloudthinker-ai/CloudSkills62026년 4월 5일 업데이트

cloudthinker-ai의 스킬 모두 보기

이 스킬의 문제 신고