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研究检索敏感数据github未标认证来源可访问许可证需确认审计提醒

pr-review公关审查

Agent Skill

pr-review 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

499

周安装

21

GitHub Stars

450

下载量

175
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:pr-review(公关审查)
来源仓库:https://github.com/ag-grid/ag-charts
仓库路径:skills/pr-review
安装命令:
npx skills add https://github.com/ag-grid/ag-charts --skill pr-review
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/ag-grid/ag-charts --skill pr-review

简介

为 ag-charts 项目 PR 提供结构化审查反馈与优先级判定。

  • 输出包含问题定位、置信度评分与修复建议的详细报告。
  • 支持多文件差异分析与统计信息汇总便于快速把握变更影响。
  • 需验证运行环境具备读取仓库 diff 的访问权限。
  • 建议结合人工复核避免自动化误判导致无效返工。pr-review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

PR Review Instructions

You are acting as a reviewer for a proposed code change. Your goal is to identify issues that could impact the quality, correctness, or safety of the codebase.

Read and follow all instructions in the co-located _review-core.md file (in this skill's directory) for the review methodology.

Arguments

Parse the ARGUMENTS environment variable (or skill arguments) for flags and the PR number:

  • --json — output structured JSON instead of Markdown (used for inline commenting in CI)
  • --devils-advocate — run an additional Devil's Advocate review pass after the standard review (see below)
  • --full — run all additional review passes: Devil's Advocate + JIRA Completeness verification (see below)
  • Remaining positional argument — the PR number

Examples: 123, --json 123, 123 --json, --devils-advocate 123, --full 123, --json --full 123

Note: --full implies --devils-advocate. You do not need to pass both.

Output Format

Default: Markdown

When --json is not specified, output the review directly to the terminal using this Markdown structure:

# PR Review: #{PR_NUMBER} - {PR_TITLE}

**PR:** {PR_URL}
**Author:** {AUTHOR} | **Base:** {BASE_BRANCH} ← **Head:** {HEAD_BRANCH}

## Summary

{1-2 sentence summary of what this PR does}

## Findings

### P0 - Critical

{List P0 issues, or "None" if empty}

-   **`{filepath}:{start_line}-{end_line}`** - {Issue title}
    {Short explanation of the issue and why it's critical}

### P1 - High

{List P1 issues, or "None" if empty}

-   **`{filepath}:{line}`** - {Issue title}
    {Short explanation}

### P2 - Medium

{List P2 issues, or "None" if empty}

-   **`{filepath}:{line}`** - {Issue title}
    {Short explanation}

---

_{N} low-priority issues omitted._

## Verdict

**Assessment:** {Patch is correct | Patch is incorrect}
**Confidence:** {0.0-1.0}

{Concise justification for the verdict - 1-2 sentences}

**Required Actions:** {Bulleted list of required fixes, or "None - ready to merge"}

JSON Mode (--json)

When --json is specified, output ONLY valid JSON. No markdown code fences, no explanatory text before or after. The output must be parseable by JSON.parse().

{
  "pr_number": 123,
  "pr_title": "Fix bug in chart rendering",
  "pr_url": "https://github.com/owner/repo/pull/123",
  "author": "username",
  "base_branch": "latest",
  "head_branch": "feature-branch",
  "commit_sha": "abc123def456...",
  "summary": "Brief 1-2 sentence summary of what this PR does",
  "findings": [
    {
      "priority": "P0",
      "file": "src/chart/series.ts",
      "line": 42,
      "end_line": 48,
      "title": "Issue title",
      "description": "Detailed explanation of the issue"
    }
  ],
  "verdict": {
    "assessment": "correct",
    "confidence": 0.85,
    "justification": "Brief reason for the verdict",
    "required_actions": ["Action 1", "Action 2"]
  },
  "stats": {
    "p0_count": 0,
    "p1_count": 1,
    "p2_count": 2,
    "p3_count": 3
  },
  "diff_stats": {
    "files_changed": 5,
    "lines_added": 150,
    "lines_removed": 20
  }
}

Field Definitions

FieldTypeDescription
pr_numbernumberThe PR number
pr_titlestringThe PR title
pr_urlstringFull URL to the PR
authorstringPR author's username
base_branchstringTarget branch (e.g., "latest")
head_branchstringSource branch
commit_shastringFull SHA of the head commit (for inline comments)
summarystring1-2 sentence summary of the PR
findingsarrayList of issues found
findings[].prioritystring"P0", "P1", "P2", or "P3"
findings[].filestringRelative file path from repo root
findings[].linenumberLine number in the NEW version of the file
findings[].end_linenumberOptional end line for multi-line issues
findings[].titlestringShort issue title
findings[].descriptionstringDetailed explanation
verdict.assessmentstring"correct" or "incorrect"
verdict.confidencenumber0.0 to 1.0
verdict.justificationstringBrief reason for verdict
verdict.required_actionsarrayList of required fixes, or empty array
statsobjectCount of issues by priority
diff_statsobjectStatistics about the diff analyzed
diff_stats.files_changednumberNumber of files changed in the PR
diff_stats.lines_addednumberNumber of lines added (+)
diff_stats.lines_removednumberNumber of lines removed (-)

Example JSON Output

{
  "pr_number": 5990,
  "pr_title": "Fix tooltip positioning in polar charts",
  "pr_url": "https://github.com/ag-grid/ag-charts/pull/5990",
  "author": "developer123",
  "base_branch": "latest",
  "head_branch": "fix/tooltip-polar",
  "commit_sha": "a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6q7r8s9t0",
  "summary": "Fixes tooltip positioning issues in polar charts by correctly calculating the angle-based offset.",
  "findings": [
    {
      "priority": "P1",
      "file": "packages/ag-charts-community/src/chart/tooltip/tooltip.ts",
      "line": 142,
      "end_line": 145,
      "title": "Missing null check for polar axis",
      "description": "The polarAxis could be undefined for non-polar series, which would cause a runtime error when accessing polarAxis.angle."
    },
    {
      "priority": "P2",
      "file": "packages/ag-charts-community/src/chart/tooltip/tooltip.ts",
      "line": 150,
      "title": "Magic number should be a constant",
      "description": "The offset value 15 should be extracted to a named constant for clarity and maintainability."
    }
  ],
  "verdict": {
    "assessment": "incorrect",
    "confidence": 0.85,
    "justification": "The fix addresses the main issue but introduces a potential null reference error that must be fixed before merge.",
    "required_actions": [
      "Add null check for polarAxis before accessing its properties"
    ]
  },
  "stats": {
    "p0_count": 0,
    "p1_count": 1,
    "p2_count": 1,
    "p3_count": 0
  },
  "diff_stats": {
    "files_changed": 2,
    "lines_added": 45,
    "lines_removed": 12
  }
}

Devil's Advocate Mode (--devils-advocate)

When the --devils-advocate flag is present, run an additional adversarial review pass after the standard review completes. This mode challenges assumptions, stress-tests edge cases, and questions whether the PR's approach is the right one.

Workflow

  1. Run the standard review first. Complete the full review as described above and collect all findings.
  2. Spawn a sub-agent with the Devil's Advocate instructions. Use the Agent tool to spawn a sub-agent with the following prompt structure:

- Include the full contents of agents/devils-advocate.md (co-located in this skill's directory) as the sub-agent's instructions. - Pass the PR diff, PR metadata, and the --json flag state to the sub-agent so it has full context. - The sub-agent should read and follow _review-core.md for shared methodology.

  1. Merge findings from both passes.

- Combine standard review findings with Devil's Advocate findings (prefixed with [DA]). - Deduplicate: if both passes flag the same file and line for the same issue, keep the higher-priority version and note it was flagged by both passes. - In Markdown mode, add a ## Devil's Advocate Findings section after the standard ## Findings section. - In JSON mode, merge the Devil's Advocate findings into the findings array (the [DA] prefix in the title distinguishes them).

  1. Update the verdict. If the Devil's Advocate pass surfaces P0 or P1 issues not found in the standard review, adjust the verdict and confidence accordingly.

Full Review Mode (--full)

When --full is present, run all additional review passes in parallel after the standard review completes:

  1. Devil's Advocate (as described above)
  2. JIRA Completeness Verification (described below)
  3. Code Simplification Review (described below)

All three sub-agents can be spawned simultaneously since they are independent of each other.

JIRA Completeness Verification

1. Extract JIRA IDs

Scan these sources (in order) for JIRA ticket references matching the pattern AG-\d+ or ST-\d+:

  1. Branch name — e.g., ag-12345/fix-tooltip or ST-6789-update-utils
  2. PR title and description — from gh pr view or $PR_TITLE
  3. Commit messages — from git log of the PR's commits

Collect all unique ticket IDs found. The pattern match is case-insensitive (both ag-12345 and AG-12345 should match). Normalise to uppercase for the sub-agent (e.g., AG-12345).

2. Spawn the JIRA Completeness Sub-agent

Use the Agent tool to spawn a sub-agent with:

  • The full contents of agents/jira-completeness.md (co-located in this skill's directory) as instructions.
  • The extracted JIRA IDs.
  • A brief PR summary (from the standard review or PR metadata).
  • The list of changed files and diff stats.
  • The --json flag state.

3. Merge JIRA Findings

  • Combine JIRA findings (prefixed with [JIRA]) with the standard review and Devil's Advocate findings.
  • In Markdown mode, add a ## JIRA Completeness section after ## Devil's Advocate Findings (or after ## Findings if Devil's Advocate is not separately flagged).
  • In JSON mode, merge the JIRA findings into the findings array. Additionally, include the jira_summary object as a top-level field in the JSON output.
  • If no JIRA IDs were found at all, include a P1 finding noting the PR has no associated JIRA ticket.

4. Update the Verdict

If the JIRA verification reveals significant scope mismatches (PR does substantially different work than the ticket describes) or a missing JIRA link, factor this into the confidence score. JIRA hygiene findings alone (missing components, wrong status) should not change the code correctness verdict but should appear in required_actions.

Code Simplification Review

1. Spawn the Simplification Sub-agent

Use the Agent tool to spawn a sub-agent that performs the /simplify skill's analysis on the files changed by this PR. The sub-agent prompt should:

  • List the files changed in the PR (from git diff --name-only).
  • Instruct the agent to read those files and review the changed sections for opportunities to simplify — reuse existing utilities, reduce duplication, improve clarity, or eliminate unnecessary complexity.
  • Instruct the agent to report findings only, not make edits — this is a review, not an auto-fix.
  • Pass the --json flag state so output format matches.

The sub-agent should focus on the same concerns as the /simplify skill: reuse, quality, and efficiency. It should not flag style issues handled by linters or raise concerns about code it hasn't read.

2. Merge Simplification Findings

  • Combine simplification findings (prefixed with [SIMPLIFY]) with other findings.
  • In Markdown mode, add a ## Simplification Opportunities section after the JIRA section (or after whatever the last preceding section is).
  • In JSON mode, merge findings into the findings array with the [SIMPLIFY] title prefix.
  • Deduplicate against standard review findings — if the standard review already flagged the same issue (e.g., duplicated logic), keep the standard review version.

3. Verdict Impact

Simplification findings are advisory and should not change the code correctness verdict or confidence score. They appear as P2 or P3 suggestions in required_actions only if they represent genuine quality concerns (e.g., copy-pasted logic that should be extracted).

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

31.73%
按下载量换算56

Claude

28.96%
按下载量换算51

Cursor

20.64%
按下载量换算36

Gemini CLI

9.28%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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