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Agent Skill · 研究检索

review-changes(审查变更)

review-changes 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。

review-changes 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 38,727。

总安装 1,518周安装 62GitHub Stars 公开资料未说明下载 486核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:review-changes(审查变更)
来源仓库:https://github.com/morphet81/cheat-sheets
仓库路径:skills/review-changes
安装命令:
npx skills add https://github.com/morphet81/cheat-sheets --skill review-changes
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/morphet81/cheat-sheets --skill review-changes

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,适合快速定位候选结果。可根据关键词、任务场景或来源线索进行信息定位与筛选。建议结合原始 README 和仓库内容进一步验证具体用法。安装前需确认是否会触发联网、命令执行或文件读写等操作。review-changes 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/review-changes

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/morphet81/cheat-sheets --skill review-changes;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

review-changes 怎么安装?

在终端执行 npx skills add https://github.com/morphet81/cheat-sheets --skill review-changes。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

review-changes 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

review-changes 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/morphet81/cheat-sheets --skill review-changes 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

review-changes 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

review-changes 用的人多吗?

公开数据是累计安装 1,518 次,近一周安装 62 次,下载 486 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

review-changes 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
review-changes

审查变更 · 本页

1,518—执行命令未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Review code changes in two modes: local branch review or PR review.

Usage:

  • /review-changes — Compare current branch against main (solo review)
  • /review-changes <branch> — Compare current branch against specified branch (solo review)
  • /review-changes --team — Compare current branch against main with a team of 8 specialist agents
  • /review-changes --team <branch> — Compare against specified branch with a team
  • /review-changes <PR-number> — Review PR in current repo (solo review)
  • /review-changes <PR-number> <owner/repo> — Review PR in specific repo (solo review)
  • /review-changes <PR-URL> — Review PR by URL (solo review)
  • Add --team to any command above to spawn a specialized review team instead of reviewing solo
  • Add --headless to any command above for fully autonomous execution (a challenger agent validates findings instead of asking the developer)

Instructions:

  1. Parse arguments and determine mode: Scan $1, $2, $3 for flags (--team, --headless). The first non-flag argument is the target argument; the second non-flag argument (if any) is the extra argument (used as owner/repo in PR mode).

- If any argument is --team, set team mode = true. Otherwise, set team mode = false (solo review). - If any argument is --headless, set headless = true. Otherwise, set headless = false. - If the target argument is a GitHub PR URL (matches https://github.com/.../pull/\d+) → PR mode (extract owner, repo, and PR number from the URL) - If the target argument is a pure number (e.g., 1654) → PR mode (use as PR number; if the extra argument is provided, use it as owner/repo, otherwise run gh repo view --json nameWithOwner -q.nameWithOwner to get the current repo) - Otherwise → local branch mode: - If the target argument is provided, use it as the base branch - Otherwise, check if a .agent file exists in the current directory. If it contains a baseBranch=<value> line, use that value - If no target argument and no .agent file, default to main


Local Branch Mode

  1. Gather branch changes:

- Get the current branch name and verify we're not on the base branch - Run git diff <base-branch>...HEAD to see all changes - Run git log <base-branch>..HEAD --oneline to see commit history - Run git diff --name-only <base-branch>...HEAD to get the list of changed files

  1. Review the changes:

- If team mode: Spawn the review team (see Step 3: Spawn the review team below), then follow Steps 4-6 for review, consolidation, and output. - If solo mode: Perform the review yourself (see Solo Review below).

  1. Address findings locally: If headless = false (default): After presenting the review, ask the user which findings they want addressed using AskUserQuestion. If in team mode, the team fixes the selected issues locally. If in solo mode, fix them yourself. If headless = true: Instead of asking the developer, spawn a challenger agent to validate the review findings. The challenger acts as a skeptical second opinion. a) Spawn the challenger agent with: b) Collect the challenger's assessment. The lead agent (you) reads both the original findings and the challenger's assessment, then decides: c) Fix the selected findings. If in team mode, the team fixes them. If in solo mode, fix them yourself.

- The consolidated review findings - The full diff and changed files - The instruction: "You are a senior engineer challenging a code review. For each finding, assess whether it is a real issue or a false positive. Check that severities are appropriate — is a 🔴 Critical truly critical? Is a 🔵 Suggestion actually a warning? Are any findings nitpicks that would add noise? Be concise: for each finding, state 'valid', 'false positive', or 'severity should be X' with a brief rationale." - Dismiss findings flagged as false positives (if the rationale is convincing) - Adjust severities where the challenger makes a good case - Select all remaining validated findings (🔴 Critical and 🟡 Warning) to fix automatically - 🔵 Suggestions are noted in the output but not auto-fixed

  1. Cleanup (team mode only) (see Step 8: Cleanup below)

PR Mode

  1. Gather PR context: a) Verify the PR exists and gather metadata: gh pr view <number> --repo <owner/repo> --json number,title,url,state,baseRefName,headRefName,author,additions,deletions,changedFiles,files b) Fetch the full diff and changed files: gh pr diff <number> --repo <owner/repo> gh pr view <number> --repo <owner/repo> --json files --jq '.files[].path' c) Check for Jira ticket reference: d) Build the exclusion list and collect all unresolved threads: These findings must be excluded from the final review output to avoid duplication. Additionally, every unresolved thread will receive a reply from the agent after the review (see step 5b).

- If the PR does not exist or is not open, display an error and STOP - Store the PR metadata for later reference - If the diff is extremely large (more than 5000 lines), note this for the reviewers so they can focus on the most impactful changes - Scan the PR title, description, and branch name for a Jira ticket reference (pattern: project key + number, e.g., PROJ-123, ABC-42) - If found, attempt to fetch Jira ticket details (summary, description, acceptance criteria) using the Atlassian CLI: acli jira workitem view <JIRA-ID> --fields summary,description,acceptance-criteria --json - Store the ticket details for the review team; if fetch fails, note the ticket reference but proceed without details - Existing reviews, inline comments, and general comments: Fetch in a single call: gh pr view <number> --repo <owner/repo> --json reviews,reviewComments,comments From the JSON output, record: - reviews: author, state (APPROVED, CHANGES_REQUESTED, COMMENTED), body - reviewComments: file path, line number, body, author - comments: substantive general PR conversation comments (skip bot comments and simple acknowledgements) - Unresolved review threads (requires GraphQL since gh pr view does not expose thread resolution status): gh api graphql -f query=' query($owner: String!, $repo: String!, $pr: Int!) {repository(owner: $owner, name: $repo) {pullRequest(number: $pr) {reviewThreads(first: 100) {nodes {id isResolved comments(first: 20) {nodes {body path line author {login}}}}}}}} ' -f owner='{owner}' -f repo='{repo}' -F pr={number} Collect all unresolved threads with their thread id, file paths, line numbers, and comment bodies. - Compile the exclusion list with: file path + line (if applicable), summary of the issue raised, author. - Store all unresolved threads (with their thread IDs) separately — these will be used in step 5b to post replies.

  1. Review the changes: PR mode additions (team mode only):

- If team mode: Spawn the review team (see Step 3: Spawn the review team below), then follow Steps 4-6 for review, consolidation, and output. - If solo mode: Perform the review yourself (see Solo Review below), incorporating the exclusion list to avoid duplicating existing review comments. - All reviewers also receive the exclusion list with instructions: "Do NOT report these issues — they have already been raised in existing reviews or unresolved comments. However, for each excluded comment relevant to your focus area, provide a brief assessment: do you agree with the comment, and is the issue still present in the current code? Report these assessments to senior-lead separately from your new findings." - If a Jira ticket was found, spawn a 9th agent: ticket-compliance (see table below)

  1. Review, consolidation, output (team mode: see Steps 4-6 below; solo mode: see Solo Review below) PR mode additions to consolidation:

- Re-check all findings against the exclusion list — remove any finding that overlaps with existing reviews or unresolved comments - If a ticket-compliance agent participated (team mode), include a "Ticket Compliance" section in the report noting any gaps between the code changes and the Jira ticket requirements - In solo mode with a Jira ticket, include a "Ticket Compliance" section yourself by comparing the changes against the ticket requirements

  1. Post findings as PR review comments: If headless = false (default): After presenting the consolidated review, ask the user which findings they want posted as PR review comments using AskUserQuestion: Here are the findings from the review. Which ones would you like me to post as review comments on the PR? Please provide the finding numbers (e.g., "1, 3, 5" or "all" or "none"). If headless = true: Instead of asking the developer, spawn a challenger agent to validate the review findings before posting. a) Spawn the challenger agent with: b) Collect the challenger's assessment. The lead agent (you) reads both the original findings and the challenger's assessment, then decides: c) Proceed to post the selected findings (steps 5a–5h below). a) Determine the authenticated user: gh api user --jq.login b) Check for an existing pending review by the user: gh api graphql -f query=' query($owner: String!, $repo: String!, $pr: Int!) {repository(owner: $owner, name: $repo) {pullRequest(number: $pr) {reviews(states: PENDING, first: 10) {nodes {id author {login}}}}}} ' -f owner='{owner}' -f repo='{repo}' -F pr={number} c) Create a pending review if none exists: gh api graphql -f query=' mutation($prId: ID!) {addPullRequestReview(input: {pullRequestId: $prId}) {pullRequestReview {id}}} ' -f prId='{pullRequest_node_id}' To get the PR node ID (if not already available): gh api graphql -f query=' query($owner: String!, $repo: String!, $pr: Int!) {repository(owner: $owner, name: $repo) {pullRequest(number: $pr) {id}}} ' -f owner='{owner}' -f repo='{repo}' -F pr={number} d) Determine the latest commit SHA: gh pr view <number> --repo <owner/repo> --json commits --jq '.commits[-1].oid' e) Add review comments for each selected finding: CRITICAL: Every comment MUST contain a meaningful body explaining the issue. Never post a comment that only pinpoints lines without explanation. The comment body is the primary value — it tells the PR author *what* the problem is, *why* it matters, and *how* to fix it. Every comment body must start with a ## From AI agent heading. Format: ## From AI agent **[<severity>]** <title> <explanation from the consolidated review — this MUST be a substantive description of the issue, not just a file/line reference. Explain what is wrong, why it matters, and what the expected behavior or correct approach should be.> **Suggested fix:** <concrete suggestion for how to resolve the issue> **Confidence:** <High|Medium|Debated> Add each comment using the GraphQL addPullRequestReviewThread mutation: gh api graphql -f query=' mutation($reviewId: ID!, $body: String!, $path: String!, $line: Int!, $side: DiffSide!) {addPullRequestReviewThread(input: {pullRequestReviewId: $reviewId, body: $body, path: $path, line: $line, side: RIGHT}) {thread {id}}} ' -f reviewId='{review_id}' -f body='{comment_body}' -f path='{file_path}' -F line={line_number} f) Reply to all existing unresolved comment threads: For every unresolved thread collected in step 2d, post a reply using the reviewers' assessments consolidated by senior-lead. This ensures every existing comment gets a response, not just those that overlap with new findings. Each reply must start with ## From AI agent and contain one of: Post each reply using: gh api graphql -f query=' mutation($threadId: ID!, $body: String!) {addPullRequestReviewThreadReply(input: {pullRequestReviewThreadId: $threadId, body: $body}) {comment {id}}} ' -f threadId='{thread_id}' -f body='{reply_body}' g) Do NOT submit the review. Never submit the review programmatically. The developer will review the comments and submit the review manually from the GitHub UI. Inform the user: Comments have been added to your pending review. Please review them and submit the review from the GitHub UI when you're ready. h) Report what was posted: ` ## Review Comments Posted **PR:** #<number> — <title> **Review:** <"New pending review created" | "Added to your existing pending review"> — submit manually from the GitHub UI **New comments posted:** <count> **Replies to existing threads:** <count> ### New findings - #<N> — <file>:<line> — <title> — Posted ✓ - #<N> — <file>:<line> — <title> — Posted ✓ ### Replies to existing comments - <file>:<line> — <summary of original comment> — Replied ✓ - <file>:<line> — <summary of original comment> — Replied ✓... `

- If the user says "none", skip to cleanup - If the user says "all", select every finding - Otherwise, parse the comma-separated list of finding numbers - Confirm the selection back to the user before proceeding - The consolidated review findings - The full diff, changed files, and exclusion list - The instruction: "You are a senior engineer challenging a code review before it is posted on a pull request. For each finding, assess whether it is a real issue or a false positive. Check that severities are appropriate. Flag any finding that is a nitpick, already covered by existing comments, or unlikely to be actionable. Be concise: for each finding, state 'post', 'skip' (with rationale), or 'adjust severity to X'." - Skip findings the challenger convincingly flagged as false positives or duplicates - Adjust severities where the challenger makes a good case - Select all remaining validated findings to post as PR comments - If a pending review exists for the authenticated user: use its id as review_id, set agent_created_review = false - If no pending review: set agent_created_review = true - If a finding references a range of lines, use the last line - If a finding has no specific line number, fall back to a top-level review body comment - Never post a comment with an empty or placeholder body — if you cannot produce a meaningful explanation for a finding, skip it and warn the user - Agreement + status: Confirm the issue is valid and whether it's still present or has been addressed - Disagreement + rationale: Explain why the agent believes the comment is no longer applicable or was incorrect - Partial agreement: Acknowledge part of the comment while noting what has changed

  1. Cleanup (team mode only) (see Step 8: Cleanup below)

Shared Steps

Solo Review

When team mode is false, perform the review yourself without spawning any agents or teams. Cover all focus areas in a single pass:

  • Code Quality: Bugs, edge cases, error handling issues. Think about data conflicts and overlaps — what happens when two items occupy the same slot, time range, or index?
  • Security: Vulnerabilities — injection, XSS, secrets exposure, auth issues
  • Performance: Inefficiencies, bottlenecks, unnecessary allocations, resource usage
  • Best Practices: Coding standards, design patterns, conventions, code consistency. Check new code against conventions in sibling files. Flag hardcoded values that should use existing constants/variables. Flag dead or unreachable code.
  • Testing: Missing tests for new or changed functionality. Check that test descriptions describe behavior, assertions are resilient, and there are no duplicate test cases.
  • Documentation: Missing or outdated documentation, inline comment gaps

Convention check: Before reporting findings, scan the directory of each changed file to identify sibling files. Note any conventions (naming, patterns, utilities, shared variables) that the new code should follow but doesn't.

Only report potential issues. Do NOT include findings that conclude with "no action needed" or "looks good". Every finding must identify a concrete problem, risk, or improvement opportunity.

Use the same output format as the team mode (see Steps 4-6 output format).

In PR mode, also incorporate the exclusion list — do not report issues already raised in existing reviews or unresolved comments.


Step 3: Spawn the review team

Use TeamCreate with name review-changes. Spawn all agents simultaneously using the Agent tool (subagent_type: general-purpose) with run_in_background: true and the team name.

Shared instructions for all reviewers:

Focus on the changes introduced (in the diff). Only review code that was added or modified — do not flag pre-existing issues in surrounding code that was not changed. However, when reviewing new files or significant additions, read 2-3 sibling files (same directory, same type) to understand existing patterns and conventions. Flag any deviation from established patterns (naming, variable usage, style composition, utility reuse). Convention check: Before reporting findings, scan the directory of each changed file to identify sibling files. Note any conventions (naming, patterns, utilities, shared variables) that the new code should follow but doesn't. Only report potential issues. Do NOT include findings that conclude with "no action needed", "looks good", "correctly handled", or similar affirmations. If you reviewed an area and found nothing wrong, simply state "No issues found" for that area — do not list things that are fine. Every finding you report must identify a concrete problem, risk, or improvement opportunity.

Each reviewer receives the full diff, the list of changed files, and their specific focus area:

#NameRoleFocus
1code-qualityCode Quality EngineerBugs, edge cases, error handling issues. Think about data conflicts and overlaps — what happens when two items occupy the same slot, time range, or index? What if the same entity appears twice? Question assumptions: if code skips or filters items, is the skip logic correct from a domain perspective?
2securitySecurity EngineerVulnerabilities: injection, XSS, secrets exposure, auth issues
3performancePerformance EngineerInefficiencies, bottlenecks, unnecessary allocations, resource usage
4best-practicesBest Practices EngineerCoding standards, design patterns, conventions, code consistency. Check new code against conventions in sibling files (e.g., global CSS vars vs hardcoded values, style composition patterns, prop type patterns). Flag hardcoded values that should use existing constants/variables. Flag dead or unreachable code that doesn't contribute to the outcome.
5qa-coverageQA Engineer (Coverage)Missing tests for new or changed functionality
6qa-consistencyQA Engineer (Consistency)Do test descriptions describe behavior (not implementation details like "diagonal stripes", "renders a div")? Are assertions resilient to implementation changes — would adding content to a component cause false positives/negatives? Does each test actually validate what its title claims, and does the expected behavior make domain sense? Are there duplicate or near-duplicate test cases? Would a reasonable implementation change break these tests for the wrong reasons?
7documentationDocumentation EngineerMissing or outdated documentation, changelog needs, inline comment gaps
8senior-leadSenior Engineer (Lead)See below
9ticket-complianceTicket Compliance Engineer*(PR mode only, if Jira ticket found)* Compare code changes against Jira ticket requirements and acceptance criteria, report any gaps or missing items

Senior Engineer responsibilities:

  • Available throughout the review to answer questions and assist other reviewers — reviewers should message senior-lead when they need guidance or want to validate a finding
  • Once all specialists have reported their findings, verify each finding for accuracy and relevance
  • Orchestrate a team-wide conversation (via broadcast and direct messages) where reviewers share findings and debate the best approaches
  • Produce the final consolidated report (step format below) incorporating the team's discussion
  • After the final report is ready, clean up: send shutdown_request to each reviewer, then TeamDelete

Ticket Compliance Engineer *(only spawned in PR mode when a Jira ticket is referenced)*:

  • Receives the Jira ticket details (summary, description, acceptance criteria) and the full diff
  • Compares the code changes against every requirement and acceptance criterion in the ticket
  • Reports: which requirements are addressed, which are partially addressed, and which are missing entirely
  • Messages senior-lead with the compliance assessment

Steps 4-6: Review, consolidation, output

  1. Each specialist reviewer must:

- Read the full diff and changed files relevant to their focus area - Message senior-lead with their findings (or confirm no issues found) - Mark their task as completed - Respond to any follow-up questions from senior-lead during the team discussion

  1. The senior-lead consolidates all findings and produces the report.

- Filter out non-issues: During consolidation, discard any finding that concludes as "no action needed", "good as is", "correctly implemented", or otherwise affirms the current code without identifying a concrete problem. Only actionable findings (bugs, risks, missing coverage, improvement opportunities) belong in the final report.

  1. Format the review as:

- Start with a brief summary of what the changes do - List specific issues found with file paths and line references - Categorize feedback by severity: 🔴 Critical, 🟡 Warning, 🔵 Suggestion - Assign a sequential number to each finding (e.g., #1, #2, #3) across all severity categories, so the developer can easily reference specific findings (e.g., "fix #3, dismiss #5") - End with an overall assessment and recommendation

Example output format:

## Summary
Brief description of what the changes introduce.

## Changes Reviewed
- `path/to/file.ts` - Description of changes
- `path/to/other.ts` - Description of changes

## Findings

### 🔴 Critical
- **#1** — **file.ts:42** - Description of critical issue
- **#2** — **file.ts:58** - Description of another critical issue

### 🟡 Warnings
- **#3** — **other.ts:15** - Description of warning

### 🔵 Suggestions
- **#4** — **file.ts:78** - Suggestion for improvement
- **#5** — **other.ts:90** - Another suggestion

## Ticket Compliance (PR mode only, if applicable)
- ✅ Requirement A — addressed in `file.ts`
- ⚠️ Requirement B — partially addressed, missing edge case handling
- ❌ Requirement C — not addressed in this PR

## Overall Assessment
Summary and recommendation (approve, request changes, etc.)

Step 8: Cleanup

  • Send shutdown_request to all agents via SendMessage
  • Once confirmed, call TeamDelete
  • Present the final summary to the user

Edge Cases

  • If the PR diff is empty, report "No changes to review" and STOP
  • If gh is not authenticated (PR mode), display setup instructions and STOP
  • If the exclusion list is very large (>30 items), summarize it for reviewers by grouping related items
  • If reviewers find no new issues beyond the exclusion list, report: "No new issues found beyond the already-raised items in existing reviews."
  • If the PR URL points to a different host (e.g., GitHub Enterprise), pass the full URL to gh commands which handle enterprise hosts automatically
  • If a GraphQL mutation fails when posting a comment (e.g., invalid line number because the diff has changed), skip that comment, log a warning, and continue with the remaining comments
  • If all comment postings fail, inform the user and suggest they post manually based on the findings

平台分布

Codex

35.13%
按下载量换算171

Claude

31.06%
按下载量换算151

Cursor

20.3%
按下载量换算99

Gemini CLI

11.14%
按下载量换算54

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/morphet81/cheat-sheets --skill review-changes 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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