address-github-comments — quality + safety report

In the Skillier index (davila7__address-github-comments) · scanned 2026-06-03 · engine: builtin+triage

A
Quality
98/100
Safety

1 heuristic flag to review

Heuristic flags from the builtin scanner, which is known to over-flag (it trips on legitimate env-reading integrations, security skills, and library .eval calls). This is NOT an authoritative malicious verdict — re-scan with SkillSpector for the authoritative result. Run the authoritative scan →

Skillproof quality grade A

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Quality notes

No explicit output format / contract
low · quality · body
→ State the expected output format (structure, sections, or schema).

About this skill

Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.

📄 Read the SKILL.md
---
name: address-github-comments
description: Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.
---

# Address GitHub Comments

## Overview

Efficiently address PR review comments or issue feedback using the GitHub CLI (`gh`). This skill ensures all feedback is addressed systematically.

## Prerequisites

Ensure `gh` is authenticated.

```bash
gh auth status
```

If not logged in, run `gh auth login`.

## Workflow

### 1. Inspect Comments

Fetch the comments for the current branch's PR.

```bash
gh pr view --comments
```

Or use a custom script if available to list threads.

### 2. Categorize and Plan

- List the comments and review threads.
- Propose a fix for each.
- **Wait for user confirmation** on which comments to address first if there are many.

### 3. Apply Fixes

Apply the code changes for the selected comments.

### 4. Respond to Comments

Once fixed, respond to the threads as resolved.

```bash
gh pr comment <PR_NUMBER> --body "Addressed in latest commit."
```

## Common Mistakes

- **Applying fixes without understanding context**: Always read the surrounding code of a comment.
- **Not verifying auth**: Check `gh auth status` before starting.
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Graded independently by Skillproof — nothing to sell the author. Quality is mechanical + corpus-grounded; safety flags are heuristic (builtin+triage), not a malicious verdict.