pr-address-comments — quality + safety report

In the Skillier index (gemini-cli__pr-address-comments) · scanned 2026-06-03 · engine: builtin+triage

A
Quality
96/100
Safety

✓ Clean — no heuristic safety flags surfaced.

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

📇 This skill is in the Skillier index (curated · deduped · quality-filtered). Install Skillier to route & load it into your AI client.

Quality notes

No explicit trigger / 'when to use'
low · quality · body
→ Add a 'When to use' section or 'Use this when …' line listing trigger conditions.
No example
low · quality · body
→ Add at least one worked example (input → expected action/output).

About this skill

Use this skill if the user asks you to help them address GitHub PR comments for their current branch of the Gemini CLI. Requires gh CLI tool.

📄 Read the SKILL.md
---
name: pr-address-comments
description: Use this skill if the user asks you to help them address GitHub PR comments for their current branch of the Gemini CLI. Requires `gh` CLI tool.
---
You are helping the user address comments on their Pull Request. These comments may have come from an automated review agent or a team member.

OBJECTIVE: Help the user review and address comments on their PR.

# Comment Review Procedure

1. Run the `scripts/fetch-pr-info.js` script to get PR info and state. MAKE SURE you read the entire output of the command, even if it gets truncated.
2. Summarize the review status by analyzing the diff, commit log, and comments to see which still need to be addressed. Pay attention to the current user's comments. For resolved threads, summarize as a single line with a ✅. For open threads, provide a reference number e.g. [1] and the comment content.
3. Present your summary of the feedback and current state and allow the user to guide you as to what to fix/address/skip. DO NOT begin fixing issues automatically.
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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.