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address-pr-comments地址公关评论

Agent Skill

address-pr-comments 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

222

周安装

9

GitHub Stars

公开资料未说明

下载量

70
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:address-pr-comments(地址公关评论)
来源仓库:https://github.com/sepantajoshani/agents-skills
仓库路径:skills/address-pr-comments
安装命令:
npx skills add https://github.com/sepantajoshani/agents-skills --skill address-pr-comments
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/sepantajoshani/agents-skills --skill address-pr-comments

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 建议确认权限范围和维护状态,注意可能触发联网或文件读写操作。
  • address-pr-comments 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Address PR Comments

Overview

Collect PR feedback with gh, classify AI/bot vs human comments, validate each comment against current code, implement only valid changes, and summarize what was addressed vs rejected.

Workflow

Address PR comments in this order:

  1. Resolve target PR.
  2. Verify gh availability/auth.
  3. Collect comments (top-level, reviews, inline).
  4. Classify source (AI/bot vs human).
  5. Validate each comment before changing code.
  6. Apply fixes and run targeted checks.
  7. Commit each resolved comment locally (no push).
  8. Summarize addressed/rejected items with rationale.

1. Resolve PR

If user did not provide a PR number, infer from current branch:

gh pr view --json number,title,url

If that fails, ask the user for PR number or URL.

2. Verify GH CLI

gh --version
gh auth status

If missing or unauthenticated, stop and report the blocker clearly.

3. Collect Feedback

Use the helper script for normalized output:

python3 ./scripts/list_comments.py --pr <number> --json

The script aggregates:

  • Top-level comments
  • Review submissions
  • Inline review comments from unresolved threads by default (including outdated unresolved threads)
  • AI-prompt snippets when present in bot comments

To include resolved inline threads too:

python3 ./scripts/list_comments.py --pr <number> --json --include-resolved

4. Classify + Prioritize

Prioritize:

  1. Human reviewer blocking concerns
  2. High-confidence AI comments with concrete evidence
  3. Lint/style/nit comments

Treat bots as advisory. Do not apply suggestions blindly.

5. Validate Before Fixing

Use the checklist in references/validation-checklist.md.

Mark each comment as one of:

  • valid
  • invalid
  • already_fixed
  • out_of_scope
  • needs_clarification

For AI bot comments containing a "Prompt for AI Agents" block, parse and verify each requested change against current files and repo conventions before editing.

6. Implement + Verify

Apply fixes one validated comment at a time.

Run checks relevant to changed files only, scoped to the modified paths (e.g., type checks, linting, tests).

7. Commit Each Resolved Comment (No Push)

For every valid comment you resolve:

  1. Stage only the files needed for that single comment.
  2. Examine recent commits (git log --oneline -10) to understand the repository's commit message style. If a commit message generation skill is installed, use it. Otherwise, write a concise commit message from the staged diff that follows the same conventions.
  3. Create exactly one local commit for that resolved comment.
  4. Do not push.

Rules:

  • Do not combine multiple resolved comments into one commit unless technically inseparable.
  • If inseparable, note all linked comment URLs in your final report for that commit.
  • Do not commit comments marked invalid, already_fixed, out_of_scope, or needs_clarification.

8. Report Back

Provide:

  • Addressed comments (with file references and commit hashes)
  • Rejected comments (with reason)
  • Any unclear comments that need reviewer clarification
  • What checks were run and results

Quick Commands

# Current branch PR
gh pr view --json number,title,url

# Structured comment dump
python3 ./scripts/list_comments.py --json

# Structured comment dump for a specific PR
python3 ./scripts/list_comments.py --pr <number> --json

# Include resolved inline threads
python3 ./scripts/list_comments.py --pr <number> --json --include-resolved

# Per-comment local commit workflow (no push)
git add <files-for-one-comment>
git diff --staged --stat
git commit -m "<conventional-commit-message>"
# DO NOT: git push

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.07%
按下载量换算25

Claude

31.22%
按下载量换算22

Cursor

16.98%
按下载量换算12

Gemini CLI

8.17%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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