A professional issue triage workflow that automates reproduction, evidence-checking, and drafting maintainer-grade GitHub responses for the Apollo ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install apollo-issue-review
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install apollo-issue-review using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Apollo Issue Review?
Apollo Issue Review is a specialized skill designed to streamline the lifecycle of GitHub issues within the Apollo configuration management ecosystem. By utilizing Openclaw Skills, developers can implement a classify-first workflow that distinguishes between technical regressions and consultative support requests. This ensures that every issue is met with a high-quality, maintainer-grade response that respects support boundaries while providing actionable paths forward.
The skill emphasizes technical accuracy by requiring mandatory validation—either through local code reproduction or deep repository evidence scans—before any response is drafted. This systematic approach reduces the manual burden on maintainers and ensures that community contributors receive clear, canonical guidance in their native language.
Apollo Issue Review Use Cases
- Triaging complex bug reports by automatically generating minimal reproduction scripts.
- Responding to user inquiries about OpenAPI availability with verified code path evidence.
- Managing community contributions by providing feasibility boundaries and refinement suggestions for new PRs.
- Maintaining consistent communication standards across English and Chinese language issues in Openclaw Skills enabled repositories.
- Reducing duplicate replies by generating concise addendums to existing issue threads.
How Apollo Issue Review Works
- Fact Extraction: The skill analyzes the issue title, body, and existing comments to identify the primary user ask and issue type.
- Classification: It categorizes the issue as either a behavior/regression issue or a consultative/support question.
- Mandatory Validation: It runs a local reproduction for bugs or performs a repository-wide evidence scan (using ripgrep) for feature inquiries.
- Draft Generation: A maintainer-grade response is drafted using canonical module names, including reproduction results and practical workarounds.
- Publish Gate: The system presents the draft to the user for a mandatory manual confirmation step.
- Automated Posting: Once confirmed, it uses the GitHub API or CLI to post the final comment to the issue thread.
Apollo Issue Review Setup
To utilize this skill within Openclaw Skills, ensure your environment has the GitHub CLI installed and authenticated. Configure your input variables to point to the target repository.
# Ensure GitHub CLI is authenticated
gh auth login
# The skill utilizes ripgrep for evidence scans
# Ensure rg is available in your path
rg --version
Define the repo and issue_number in your agent's context to initiate the review workflow.
Apollo Issue Review Data Schema & Taxonomy
The skill processes and generates data based on the following structure:
| Attribute | Description |
|---|---|
issue_context |
A compilation of the title, body, and all current comments. |
validation_path |
The logical branch taken (behavior-regression vs consultative-support). |
canonical_names |
Standardized module names derived from pom.xml or repository layout. |
publish_mode |
Control flag for draft-only or post-after-confirm. |
output_mode |
Selection between human readable summaries or pipeline YAML blocks. |
Apollo Issue Review Advanced Features
- Intelligent language detection to match the reply language (English/Chinese) to the original issue thread.
- Cross-verification of OpenAPI endpoints against Portal web APIs and token-based paths to avoid false negatives.
- Automated support for contribution claims, providing immediate feasibility feedback to volunteers.
- Integration with repository-native unit tests and temporary Go/Java scripts for logic verification.
- Pipeline-ready YAML output for integration into automated CI/CD triage workflows within Openclaw Skills.
SKILL.md
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