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Agent Skill · 研究检索

fix-issues(解决问题)

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库中的信息转成可执行的下一步。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue、推送分支或访问私有仓库时,应确认 token 权限、目标仓库范围和用户授权。

fix-issues 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,权限为调用外部服务;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 70,834。

总安装 198周安装 8GitHub Stars 22,833下载 62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:fix-issues(解决问题)
来源仓库:https://github.com/iofficeai/aionui
仓库路径:skills/fix-issues
安装命令:
npx skills add https://github.com/iofficeai/aionui --skill fix-issues
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/iofficeai/aionui --skill fix-issues

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。

用于围绕 GitHub 仓库、Issue、Pull Request 等提供协作辅助。适合让 Agent 查询项目状态、整理变更事项。通过 npx skills add 命令从 iofficeai/aionui 仓库安装。需区分只读查询与写入操作的安全边界。建议配合本地仓库验证其准确性。

fix-issues 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/fix-issues

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/iofficeai/aionui --skill fix-issues;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

    它需要调用外部服务,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

fix-issues 怎么安装?

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

fix-issues 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。

fix-issues 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

fix-issues 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。

fix-issues 用的人多吗?

公开数据是累计安装 198 次,近一周安装 8 次,下载 62 次,GitHub 22,833 星。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。

fix-issues 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。
  • 来源仓库有 22,833 星,维护活跃度相对可查。

先想清楚的地方

  • 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

  • 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
fix-issues

解决问题 · 本页

19822,833调用外部服务未明确未通过

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

Fix Issues Skill

Automated workflow: GitHub bug issues → analyze → fix → PR.

Announce at start: "I'm using fix-issues skill to find and fix a GitHub bug issue."

Operating Modes

Batch Mode (default)

Invocation: /fix-issues

  • Fetches open bug issues, finds the best candidate, fixes it
  • Runs full Phase 1 → Phase 2 → Phase 3
  • Fixes 1 issue per invocation

Daemon Mode

Invocation: /fix-issues limit=1 (from daemon script)

  • Phase 1 uses priority descent: high-signal issues first, then progressively lower
  • Fixes only 1 issue (controlled by limit parameter), then exits
  • If no fixable issue exists → outputs [NO_FIXABLE_ISSUES] and exits

Prerequisites

  • gh CLI must be authenticated
  • Working directory will be auto-cleaned (stash + checkout main) at startup

Workflow

Phase 1: Collect & Filter Issues

Step 1.1: Verify Environment
git status --porcelain
git branch --show-current

If working directory has staged or modified tracked files, stash them and proceed:

git stash -m "fix-issues: auto-stash before starting"

Do NOT use --include-untracked — untracked files (like skill files not yet merged to main) must remain in the working directory.

Then switch to main:

git checkout main
git pull origin main
Step 1.1b: Load Skip List (Daemon Mode Only)

In daemon mode (limit > 0), load the skip list to avoid re-analyzing issues that were already triaged in previous sessions. The skip list is stored at:

~/.aionui-fix-issues/skip-list.json

Format:

{
  "1782": { "reason": "already_fixed", "summary": "PR #1800 merged" },
  "1707": { "reason": "environment_issue", "summary": "Kaspersky antivirus blocking" },
  "1697": {
    "reason": "needs_more_info",
    "summary": "Missing reproduction steps",
    "commented_at": "2026-03-27T12:00:00Z"
  },
  "1774": {
    "reason": "fix_failed",
    "summary": "Type check failed after 3 attempts",
    "commented_at": "2026-03-27T14:00:00Z"
  }
}

Entries never expire. Re-analysis is triggered only by concrete signals.

On load:

  1. Read the file (if it doesn't exist, start with an empty skip list)
  2. All entries remain active (no expiry logic)

During Phase 1.2 (Fetch Issues):

When iterating through fetched issues, if an issue number is in the active skip list, check whether re-analysis is warranted based on the reason:

ReasonRe-analyze conditionHow to check
needs_more_infoNew comment on issue since commented_atgh api check (see below)
fix_failedNew comment on issue since commented_atgh api check (see below)
already_fixedIssue was reopened (state changed back to open)Already filtered by --state open in fetch
fix_pending_mergeLinked PR was closed without mergegh pr list --state closed --search "<keyword>"
environment_issueAlways — re-run Classification Gate (Grep)Run Step 1.4 gate on every environment_issue
unclear_unfixableAlways — re-run Classification Gate (Grep)Run Step 1.4 gate on every unclear_unfixable

Re-analysis for environment_issue / unclear_unfixable (MANDATORY):

These classifications are error-prone and must be re-verified every session. For each environment_issue or unclear_unfixable entry in the skip list:

  1. Extract keywords from the skip-list summary field
  2. Run Grep against src/ with those keywords
  3. If matching code is found → remove from skip list and re-analyze as direct_fix or defensive_fix
  4. If no matching code → keep in skip list

This prevents misclassifications from becoming permanent. The Grep check is cheap and ensures issues with code paths in our repo are never permanently skipped.

Comment check for needs_more_info / fix_failed:

First, get the authenticated user login (the bot account):

BOT_LOGIN=$(gh api user --jq '.login')

Then check for comments from other users after commented_at:

gh api repos/iOfficeAI/AionUi/issues/<number>/comments \
  --jq '[.[] | select(.created_at > "<commented_at>" and .user.login != "'$BOT_LOGIN'")] | length'
  • If result > 0 → remove from skip list and re-analyze Log: Re-analyzing #1697 (new comments from other users since last attempt)
  • If result == 0 → skip Log: Skipping #1697 (needs_more_info — no new comments from others)

This ensures:

  • Our own bot comments (analysis started, fix failed, needs info) are excluded
  • Only human-provided information triggers re-analysis

In batch mode (limit=0): skip list is ignored — always analyze everything fresh.

Step 1.2: Fetch Open Bug Issues
gh issue list --repo iOfficeAI/AionUi --state open --label bug --limit 50 \
  --json number,title,body,labels,assignees,comments,createdAt
Filtering Pipeline

Apply these filters in order to narrow down candidates:

Filter 1 — No assignee:

assignees == [] (nobody is working on it)

Filter 2 — Has sufficient description:

Issue body must contain at least ONE of:

  • Error message or stack trace
  • Steps to reproduce
  • Log output
  • Screenshot (image link) — will be analyzed in Step 1.3e
  • Code snippet or file path reference

Issues with empty body, only a title, or body like [Bug]: with no content → skip.

Note: Issues with screenshots as the only detail should NOT be skipped here. Pass them through to Step 1.3e for image analysis before deciding.

Filter 3 — No linked PR (open or merged):

# Check if this issue already has a linked PR (via "Closes #N" or manual link)
gh api repos/iOfficeAI/AionUi/issues/<number>/timeline --jq \
  '[.[] | select(.event == "cross-referenced" and .source.issue.pull_request != null)] | length'

If the issue has any linked PR (open or merged) → skip (classify as "fix pending merge" or "already fixed").

This catches PRs created by this skill (which use Closes #N) as well as manually linked PRs.

Priority Descent (Daemon Mode)

In daemon mode, evaluate candidates in this priority order:

  1. Tier 1 — Has error/stack trace in body: highest signal, most likely fixable
  2. Tier 2 — Has file/function reference: mentions specific code locations
  3. Tier 3 — Has reproduction steps only: may be fixable through investigation
  4. Tier 4 — Vague description: lowest priority, skip if nothing better exists

For each tier, attempt triage (Step 1.4). If a fixable issue is found, proceed. If all issues in a tier are unfixable, move to the next tier.

If all tiers are exhausted with no fixable issues, output:

[NO_FIXABLE_ISSUES] All tiers exhausted, no actionable issues found.
Step 1.3: Deduplicate by Root Cause

After selecting a candidate issue to fix, search for sibling issues that describe the same underlying problem. Multiple users often file separate issues for the same bug.

Step 1.3a: Extract signature from the candidate issue:

Pull distinctive identifiers from the issue body:

  • Error message (e.g., TypeError: Cannot read properties of null (reading 'addInstance'))
  • Component/module name (e.g., JsonImportModal, OfficeDocViewer)
  • File path (e.g., src/renderer/components/McpManager.ts)
  • Behavior description keywords (e.g., "white screen", "crashes on close")

Step 1.3b: Search for sibling issues:

# Search by error message fragment
gh issue list --repo iOfficeAI/AionUi --state open --label bug --limit 50 \
  --search "<error-message-fragment>" --json number,title,body

# Search by component name
gh issue list --repo iOfficeAI/AionUi --state open --label bug --limit 50 \
  --search "<component-name>" --json number,title,body

Step 1.3c: Confirm same root cause:

For each candidate sibling, verify it describes the same code-level problem (not just similar symptoms). Two issues are siblings if they share at least TWO of:

  • Same error type/message
  • Same component/file
  • Same trigger action (e.g., "toggle MCP server", "import JSON")

Step 1.3d: Merge into one fix group:

Group all confirmed siblings. The PR will:

  • Fix the shared root cause once
  • Reference all issue numbers: Closes #1786, closes #1771, closes #1778
  • Branch name uses the lowest issue number: fix/issue-1771

Example: #1786 and #1771 are both JsonImportModal + "invalid JSON" crashes → One fix group, one branch, one PR closing both issues.

Step 1.3e: Analyze Screenshots in Issue Body

Issue bodies often contain screenshots as the only source of error information (especially for UI bugs, error dialogs, and Chinese-language reports). Before triaging, extract and analyze all images to avoid misclassifying issues as needs_more_info.

When to analyze: If the issue body contains image markdown (![Image](url) or <img... src="url"...>) AND the text description alone is insufficient for triage.

How to analyze:

# Extract image URL from issue body (GitHub user-attachments format)
curl -sL -o /tmp/issue-<number>-<index>.png "<image-url>"

Then use Read to view the downloaded image. Claude can understand screenshots and extract:

  • Error messages and dialog text
  • UI state (which page, which component, which mode)
  • Console errors visible in DevTools
  • Stack traces shown in error overlays
  • Application version, model selection, and configuration visible in the UI

Important rules:

  • Download images to /tmp/ — do NOT commit them to the repo
  • Only analyze images from github.com or user-attachments domains (trusted sources)
  • If the image reveals error text or component names, use them for codebase search in triage
  • If the image is a generic UI screenshot with no error information, it adds no triage value — skip

Example: Issue #1298 has only a screenshot. Downloading and reading it reveals: "Internal error" on first message with Sonnet + Claude Code backend → searchable error path.

Step 1.4: Triage — Can We Fix It?

Classify each issue/group using the detailed decision flow in references/triage-rules.md.

Classification Gate (MANDATORY)

For EVERY candidate issue, you MUST complete this gate before assigning a classification:

  1. Extract 2-3 keywords from the issue (error message, component, file path, behavior)
  2. Run Grep against src/ for each keyword
  3. Record whether matching code was found: [MATCH] or [NO MATCH]
  4. Apply the gate rule below

Gate rule — code match blocks skip classifications:

  • Grep found matching code in src/ → classification MUST be direct_fix or defensive_fix. You CANNOT classify as environment_issue or unclear_unfixable when our code handles the relevant path. Even if the root cause is external (third-party API, packaged app, platform), our code can add guards, fallbacks, or adapter logic.
  • Grep found NO matching code → may classify as environment_issue or unclear_unfixable

Include the gate result in the triage report for each issue:

#1619: keywords=["cowork", "ENOENT", "rules"] → [MATCH] fsBridge.ts:748 → direct_fix
#1707: keywords=["Kaspersky", "antivirus"] → [NO MATCH] → environment_issue
Quick reference — seven categories
CategoryAction
Direct fixError + code path identified → fix
Defensive fixPattern matches our code → fix with guards
Pending mergeOpen PR exists → skip or improve
Already fixedRecent commit addresses it → skip
EnvironmentZero matching code in src/, entirely external → skip
Needs more infoCannot construct any search query from description → skip+comment
Unclear/unfixableZero matching code, AND needs new system design → skip

Output a triage report (see references/report-template.md for format), then proceed immediately — do not wait for user confirmation.

Step 1.5: Comment on needs_more_info Issues (Mandatory)

After triage, before moving to Phase 2, comment on EVERY issue classified as needs_more_info. This step is mandatory — without a comment, the skip-list commented_at field is meaningless and re-analysis will never be triggered.

gh issue comment <number> --repo iOfficeAI/AionUi --body "$(cat <<'EOF'
🔍 **Automated analysis — needs more info**

This issue was analyzed but cannot be fixed automatically due to insufficient detail.

**What would help:**
- <specific missing info>

Once the above is provided, this issue will be re-analyzed automatically.
EOF
)"

Record the current UTC timestamp as commented_at for the skip-list entry. Do NOT comment on issues skipped by filters (has assignee, has linked PR, etc.).

Phase 2: Fix the Issue

Issue Comments

Comment on the issue at key stages to keep reporters informed and enable follow-up. Use gh issue comment — all comments should be concise and actionable.

Comment 1 — Start (after triage selects this issue):

gh issue comment <number> --repo iOfficeAI/AionUi --body "$(cat <<'EOF'
🔍 **Automated analysis started**

Analyzing this issue for an automated fix. Will update with results.
EOF
)"

Comment 2a — Success (after PR is created):

gh issue comment <number> --repo iOfficeAI/AionUi --body "$(cat <<'EOF'
✅ **Fix submitted**

PR: <pr-url>

- Root cause: <one-line summary>
- Fix: <one-line summary of what changed>
- Tests: passing
EOF
)"

Comment 2b — Abandoned (if fix fails after 3 attempts):

gh issue comment <number> --repo iOfficeAI/AionUi --body "$(cat <<'EOF'
❌ **Automated fix unsuccessful**

Attempted to fix this issue but could not produce a passing solution.

**What was tried:** <brief description of approach>
**Why it failed:** <type check failure / test failure / could not locate code>

<If missing info — add specific questions:>
**To help with a future fix attempt, it would be useful to have:**
- <specific missing info, e.g., "full stack trace", "steps to reproduce", "Electron version">

A future attempt will be made if more information is provided.
EOF
)"

Comment 2c — Skipped during triage (insufficient info):

gh issue comment <number> --repo iOfficeAI/AionUi --body "$(cat <<'EOF'
🔍 **Automated analysis — needs more info**

This issue was analyzed but cannot be fixed automatically due to insufficient detail.

**What would help:**
- <specific missing info>

Once the above is provided, this issue will be re-analyzed automatically.
EOF
)"

Important: Only comment on issues that were actually analyzed or attempted. Do NOT comment on issues that were skipped by filters (no assignee, has linked PR, etc.).

Step 2.1: Create Branch
git checkout main
git pull origin main
git checkout -b fix/issue-<number>

Branch naming: fix/issue-<number> using the primary issue number.

Step 2.2: Locate and Fix Code

Architecture rules (must follow):

  • src/process/ = main process — no DOM APIs
  • src/renderer/ = renderer — no Node.js APIs
  • src/process/worker/ = fork workers — no Electron APIs
  • Cross-process communication MUST go through IPC bridge (src/preload.ts)
  • Use path aliases: @/*, @process/*, @renderer/*, @worker/*
  • Use @arco-design/web-react for UI components, @icon-park/react for icons
  • Prefer type over interface, no any, no implicit returns
  1. Extract clues from the issue body:

- Error messages → Grep for the exact string - File paths → Glob to locate the file - Component names → search for the component - Function names → search for the function

  1. Read the file(s) identified
  2. Understand the surrounding context (read neighboring code, types, callers)
  3. Implement the minimal fix:

- Add null/undefined guards - Add try-catch for unhandled exceptions - Fix incorrect type assertions - Add missing error handling - Fix race conditions with proper async handling - Fix validation logic

  1. Do NOT refactor surrounding code — fix only the reported issue
Step 2.3: Write Tests for the Fix

Every bug fix MUST have a corresponding unit test. No exceptions — if you cannot write a test for the fix, the issue is not fixable by this skill. Skip it and move to the next candidate.

  1. Check if a test file already exists for the modified module (e.g., foo.test.ts for foo.ts)
  2. If no test file exists, create one colocated with the source file
  3. Write test(s) that:

- Reproduce the bug: a test that would have failed before the fix - Verify the fix: the same test now passes with the fix applied - Cover at least one failure path

Test conventions (from project rules):

  • Framework: Vitest (vitest.config.ts)
  • Test files: colocated *.test.ts next to source file
  • Run command: bun run test
  • Mock Electron/Node APIs when needed, but test the logic
Step 2.4: Quality Gate (ALL must pass)

Run all checks in order. Every check must pass before proceeding to Step 2.6.

# 1. Lint + auto-fix
bun run lint:fix

# 2. Format + auto-fix
bun run format

# 3. Type check — MUST pass
bunx tsc --noEmit

# 4. Tests — MUST pass
bun run test

i18n check (run if any src/renderer/, locales/, or src/common/config/i18n files were modified):

bun run i18n:types
node scripts/check-i18n.js
  • i18n:types must run before check-i18n.js
  • If check-i18n.js exits with errors → fix them before proceeding
  • If check-i18n.js exits with warnings only → may proceed

Final CI verification — replicate the exact CI check locally:

prek run --from-ref origin/main --to-ref HEAD
  • If prek reports issues → fix them (run bun run lint:fix and bun run format again), then re-run prek
  • prek uses check-only commands (lint, format:check) — it will catch anything the auto-fix missed

Gate rules:

CheckResultAction
Type checkFAILFix type errors and re-run. Max 3 attempts, then abandon issue.
TestsFAILAdjust fix/test and re-run. Max 3 attempts, then abandon issue.
i18nFAILFix missing keys and re-run.
prekFAILFix reported issues and re-run.

"Abandon issue" means:

  1. git checkout main (discard the branch)
  2. git branch -D fix/issue-<number> (clean up)
  3. In daemon mode: add issue to skip-list with reason fix_failed and commented_at timestamp
  4. Proceed to Phase 3 (report the failure)

No partial passes. If tests or type check don't pass after 3 attempts, the fix is not ready and must NOT be submitted as a PR.

Step 2.6: Commit & Create PR

Delegate to existing skills — do not manually construct commit messages or PR bodies.

Pre-flight duplicate check (safety net):

gh pr list --repo iOfficeAI/AionUi --state open --search "<error-keyword-or-file>" --json number,title

If an existing OPEN PR addresses the same root cause, skip this issue — do not create a duplicate. Log it as "fix pending merge" in the triage report and proceed to Phase 3.

  1. Commit directly (do NOT invoke /commit — it may prompt for confirmation): git add <changed-files> git commit -m "<type>(<scope>): <subject>" Follow project commit conventions: <type>(<scope>): <subject> in English. No AI signatures. Reference the issue number in the commit body if needed.
  2. Push branch and create PR (do NOT invoke /pr — it may prompt for confirmation): git push -u origin fix/issue-<number> gh pr create --title "<pr-title>" --body "$(cat <<'EOF' ## Summary <1-3 bullet points> ## Related Issues Closes #<number>, closes #<number> ## Test Plan - [x] Unit tests pass - [x] Type check passes - [x] Lint and format pass EOF)" The PR body MUST include Closes #<number> for every issue in the fix group (e.g., Closes #1786, closes #1771, closes #1778). This auto-closes all sibling issues on merge and prevents them from being picked up by future daemon cycles. PR is always created as a regular (non-draft) PR — by this point all tests, type checks, and quality checks have already passed. The fix is complete and ready for review.
Step 2.7: Return to Main
git checkout main

Phase 3: Summary Report

After the issue is fixed, output a summary report. See references/report-template.md for the exact format.

Step 3.1: Update Skip List (Daemon Mode Only)

In daemon mode (limit > 0), after the summary report, update ~/.aionui-fix-issues/skip-list.json with all issues that were skipped in this session.

TTL by classification:

ClassificationRe-trigger condition
environment_issueAlways — re-run Classification Gate (Grep)
already_fixedIssue reopened (detected by --state open fetch)
fix_pending_mergeLinked PR closed without merge
unclear_unfixableAlways — re-run Classification Gate (Grep)
fix_failedNew comment on issue since commented_at
needs_more_infoNew comment on issue since commented_at

Write rules:

  1. Read the existing file first (preserve entries from previous sessions that haven't expired)
  2. For each skipped issue in this session, add or update its entry with the appropriate TTL
  3. For issues that were fixed in this session (PR created), do NOT add to skip list — they should be detected as "already fixed" by the next session's normal triage
  4. Write the merged result back to the file

Configuration

Default parameters (can be overridden via skill args):

ParameterDefaultDescription
repoiOfficeAI/AionUiGitHub repository (owner/repo)
limit0Max issues to fix per invocation (0 = batch mode, >0 = daemon mode)
labelbugIssue label to filter by

Override examples:

  • Batch mode: /fix-issues
  • Daemon mode: /fix-issues limit=1

Mandatory Rules

No AI Signature

NEVER add any AI-related signatures to commits, PRs, or issues.

Minimal Fix Only

Fix the reported error. Do NOT refactor, add features, or "improve" surrounding code.

No Blocking Questions

The entire workflow runs end-to-end without stopping for user confirmation. Output the triage report for transparency, then proceed immediately. The goal is uninterrupted automation — questions block the flow.

No Duplicate PRs

Before creating a new PR/issue, always check for existing OPEN PRs addressing the same root cause. If found, improve the existing PR instead of creating a duplicate.

One Root Cause = One Branch = One PR

Group duplicate issues by root cause. Each unique root cause gets one branch and one PR.

Skill Changes Stay Separate

Do NOT include changes to .claude/skills/ in bug-fix branches. Skill updates should go through their own branch and PR.

平台分布

Codex

38.62%
按下载量换算24

Claude

29.87%
按下载量换算19

Cursor

18.29%
按下载量换算11

Gemini CLI

10.25%
按下载量换算6

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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