Token导航 LogoToken导航TokenDH.com
研究检索只读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

1,128

周安装

47

GitHub Stars

216

下载量

376
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/mathews-tom/armory
仓库路径:skills/pr-review
安装命令:
npx skills add https://github.com/mathews-tom/armory --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/mathews-tom/armory --skill pr-review

简介

pr-review 用于查找、检索和筛选相关信息。

  • 适合根据关键词、任务场景或来源线索快速定位候选结果。
  • 适用于 Codex、Claude、Cursor、Gemini CLI 中的研究类任务。
  • 通过 npx 安装,需确认权限范围和维护状态,注意可能触发联网操作。
  • 建议结合来源仓库和原始 README 核验具体用法,避免依赖未经验证的搜索结果。

SKILL.md

PR Review

Diff-based code review across five dimensions. Reads the changed files, selects applicable review methodologies, and produces an aggregated report with severity-ranked findings.

Native alternative: Claude Code's /ultrareview runs a lightweight native bug-focused review (three free per month on Pro/Max plans at Opus 4.7's launch). Use this skill for five-dimension severity-ranked analysis (code quality + tests + error handling + types + comments) with file:line references; use /ultrareview for a quick bug-hunting pass on a diff.

Reference Files

FileContentsLoad When
references/code-review.mdGuideline compliance, bug detection, confidence scoringAlways
references/test-analysis.mdBehavioral test coverage, criticality ratingTest files changed
references/error-handling.mdSilent failure patterns, catch block analysisError handling changed
references/type-design.mdInvariant analysis, 4-dimension rating rubricType definitions added/modified
references/comment-quality.mdComment accuracy, long-term value, rot detectionComments/docstrings added

Workflow

Phase 1: Scope

  1. Determine the review target:

- Default: git diff (unstaged changes) - If user specifies a PR: git diff main...HEAD or gh pr diff <number> - If user specifies files: review those files directly

  1. List all changed files with git diff --name-only
  2. Read the project's CLAUDE.md (if present) for project-specific rules

Phase 2: Route

Classify changed files and select applicable dimensions:

ConditionDimensionReference to Load
AlwaysCode reviewreferences/code-review.md
Files matching *test*, *spec*, *_test.*, test_*Test analysisreferences/test-analysis.md
Files containing try/catch, except,.catch, Result, error callbacksError handlingreferences/error-handling.md
Files containing class, interface, type, struct, enum, dataclass definitionsType designreferences/type-design.md
Files with new/modified docstrings, JSDoc, or block commentsComment qualityreferences/comment-quality.md

Load only the reference files that apply. Skip dimensions with no matching files.

Phase 3: Review

For each applicable dimension, analyze the diff using the loaded methodology:

  1. Code review — scan every changed file for guideline violations and bugs. Apply confidence scoring (0-100). Only report issues >= 80.
  2. Test analysis — map test coverage to changed code paths. Rate gaps 1-10. Only report gaps >= 5.
  3. Error handling — examine every error handler in the diff for silent failures. Classify CRITICAL/HIGH/MEDIUM.
  4. Type design — evaluate new or modified types on 4 dimensions (encapsulation, invariant expression, usefulness, enforcement). Rate each 1-10.
  5. Comment quality — verify accuracy, assess long-term value, flag comment rot.

Phase 4: Aggregate

Merge all findings into a single report, deduplicated and severity-ranked.

Deduplication rules:

  • If two dimensions flag the same file:line, keep the higher-severity finding
  • If code-review and error-handling both flag an empty catch block, merge into one finding with the error-handling severity (it's the specialist)

Severity mapping across dimensions:

DimensionMaps to CriticalMaps to ImportantMaps to Suggestion
Code reviewConfidence 90-100Confidence 80-89
Test analysisRating 9-10Rating 7-8Rating 5-6
Error handlingCRITICALHIGHMEDIUM
Type designAny rating <= 3/10Any rating 4-6/10Rating 7-8/10
Comment qualityFactually incorrectMisleading or incompleteRestates obvious code

Output Format

# PR Review Summary

**Scope:** [X files changed, Y dimensions applied]
**Dimensions:** [list of active dimensions]

## Critical Issues (must fix before merge)
- **[dimension]** `file:line` — Description. Fix suggestion.

## Important Issues (should fix)
- **[dimension]** `file:line` — Description. Fix suggestion.

## Suggestions (consider)
- **[dimension]** `file:line` — Description.

## Strengths
- What's well-done in this changeset.

## Recommended Action
1. Fix critical issues
2. Address important issues
3. Consider suggestions
4. Re-run review after fixes

If no issues are found at any severity level, confirm the code meets standards with a brief summary of what was reviewed and which dimensions were applied.


Aspect Selection

Users can request specific dimensions instead of running all:

User SaysDimensions Applied
"review my PR" / "check my changes"All applicable (default)
"review the code" / "check code quality"Code review only
"check the tests" / "is test coverage good"Test analysis only
"check error handling" / "find silent failures"Error handling only
"review the types" / "check type design"Type design only
"check the comments" / "review documentation"Comment quality only

When a specific aspect is requested, load only that reference file and skip routing.


Error Handling

ProblemResolution
No git diff availableAsk user to specify files or scope
CLAUDE.md not foundReview against general best practices; note the absence
No test files in diffSkip test analysis dimension; note in output
Diff is emptyReport "no changes to review" and stop
Diff exceeds context limitsFocus on files the user is most likely to care about; summarize skipped files

Calibration Rules

  1. Precision over recall. A false positive erodes trust in the review. Only report issues at >= 80 confidence (code review) or >= 5 criticality (tests). Silence is better than noise.
  2. File:line references are mandatory. Every finding must include a specific location. Vague findings ("consider improving error handling") are not actionable.
  3. Project rules override general rules. If CLAUDE.md says "use arrow functions", do not flag arrow functions even if conventional style prefers function declarations.
  4. Deduplication is mandatory. If two dimensions flag the same issue, merge them. Never report the same problem twice.
  5. Acknowledge strengths. A review that only lists problems is demoralizing. Note what's done well, even briefly.
  6. Code-refiner handles simplification. This skill reviews and reports. It does not refactor or simplify — that's the code-refiner skill's job. Keep the roles separate.

Rationalizations

RationalizationReality
"Tests pass, so the code is fine"Tests are necessary but insufficient — they miss architecture, security, readability, and maintainability concerns
"It's a small diff, no real review needed"Small changes cause most production incidents; a 3-line auth bypass is worse than a 300-line refactor
"We'll clean it up later"Later never comes — the review IS the quality gate before code becomes legacy
"The author is senior, I trust them"Seniority doesn't prevent mistakes; fresh eyes catch what familiarity blinds
"I already reviewed similar code recently"Each diff has unique context — assumptions from past reviews cause missed issues
"This is just a refactor, nothing can break"Refactors change behavior in subtle ways — verify with tests and trace call sites

Red Flags

  • Approving without reading every changed file in full (not just diff hunks)
  • No file:line references in findings — vague feedback is not actionable
  • Skipping a review dimension because "it looks fine"
  • Reporting only style issues while ignoring logic, security, or architecture
  • Reviewing generated code (migrations, protobuf stubs) with the same rigor as hand-written code
  • Merging findings from different dimensions without deduplication

Verification

  • Every changed file read in full, not just diff hunks
  • Each review dimension scored: correctness, security, performance, readability, architecture
  • Every finding includes a file:line reference
  • At least one actionable finding per 100 lines changed, or explicit "no issues found" with justification
  • Review summary includes risk level (LOW/MEDIUM/HIGH/CRITICAL) and blocking vs. non-blocking classification
  • Strengths acknowledged — review is not 100% negative

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

36.96%
按下载量换算139

Claude

31.32%
按下载量换算118

Cursor

18.58%
按下载量换算70

Gemini CLI

9.33%
按下载量换算35

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

继续浏览同类 Skills