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Agent Skill · 研究检索

issue-finder(问题查找器)

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。

issue-finder 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,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 14,780。

总安装 8,304周安装 346GitHub Stars 公开资料未说明下载 2,768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
MIT-0
版本
1.0.0

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:issue-finder(问题查找器)
来源仓库:https://github.com/linux2010/issue-finder
安装命令:
openclaw skills install issue-finder
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install issue-finder

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。

挖掘 GitHub 仓库中有价值的 Issue 并分析修复可行性潜力。适用于开源项目贡献者寻找合适任务加入开发的场景。issue-finder 属于研究检索类 Skill,可作为该场景下的辅助能力补充。识别高影响力 Bug 与低风险新功能实现机会点。仅支持公开仓库查询,私有项目需配置有效 PAT 令牌访问权限。

建议优先选择有明确标签与重现步骤的问题进行介入处理。

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 OpenClaw;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 openclaw skills install issue-finder;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

    它需要需要联网,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

issue-finder 怎么安装?

在终端执行 openclaw skills install issue-finder。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

issue-finder 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

issue-finder 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

issue-finder 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

issue-finder 用的人多吗?

公开数据是累计安装 8,304 次,近一周安装 346 次,下载 2,768 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。

issue-finder 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 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 OpenClaw,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
issue-finder

问题查找器 · 本页

8,304—需要联网MIT-0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

name
issue-finder
description
Discover valuable GitHub issues and analyze bug fix feasibility and feature implementation potential. Use when: (1) Finding good issues to contribute to open source projects, (2) Analyzing bug complexity and fix difficulty, (3) Evaluating feature request feasibility, (4) Assessing contribution value and learning opportunities, (5) Searching for issues by labels, complexity, or project type.

GitHub Issue Finder & Analyzer

Systematically discover and evaluate GitHub issues for open source contribution opportunities.

Core Workflow

1. Issue Discovery

Search for issues using GitHub CLI:

# Find good first issues
gh issue list --repo owner/repo --label "good first issue" --state open

# Find help wanted issues
gh issue list --repo owner/repo --label "help wanted" --state open

# Find bug issues
gh issue list --repo owner/repo --label "bug" --state open

# Find feature requests
gh issue list --repo owner/repo --label "enhancement" --state open

# Search across multiple repos
gh search issues --label "good first issue" --state open --limit 20

Key labels to search:

  • good first issue - Beginner-friendly
  • help wanted - Maintainers seeking contributors
  • bug - Defects needing fixes
  • enhancement / feature - New functionality
  • documentation - Doc improvements
  • performance - Performance optimizations

2. Issue Evaluation Framework

Read the referenced evaluation criteria: references/evaluation-criteria.md

Feasibility Assessment

Bug Fix Feasibility:

  1. Reproducibility - Can you reproduce the issue?
  2. Root Cause - Is the cause identifiable from issue description/code?
  3. Scope - How many files/components affected?
  4. Dependencies - Does fix require changes to external dependencies?
  5. Test Coverage - Are there existing tests? Can you write tests?

Feature Implementation Feasibility:

  1. Clarity - Is the feature well-defined?
  2. Alignment - Does it fit project's roadmap/vision?
  3. Complexity - New code vs. modifying existing code?
  4. Breaking Changes - Will it break existing functionality?
  5. Maintainability - Long-term maintenance implications?
Value Assessment

Contribution Value Score (1-10):

FactorWeightCriteria
Impact30%User-facing vs internal, number of affected users
Learning25%New skills/concepts learned
Community20%Maintainer responsiveness, community activity
Complexity15%Time investment vs. value gained
Portfolio10%Demonstrable value for portfolio/career

Scoring Guide:

  • 9-10: High impact, great learning, active maintainers
  • 7-8: Good contribution opportunity
  • 5-6: Moderate value, consider carefully
  • 1-4: Low ROI, skip unless specific reason

3. Issue Analysis Process

Step 1: Gather Information
# Get issue details
gh issue view <issue-number> --repo owner/repo

# Check issue comments/discussion
gh issue view <issue-number> --repo owner/repo --comments

# Check linked PRs
gh pr list --repo owner/repo --search "fixes #<issue-number>"

# Check project files
gh api repos/owner/repo/contents
Step 2: Analyze Codebase Context
# Clone or navigate to repo
cd /path/to/repo

# Understand structure
find . -type f -name "*.ts" | head -20

# Check recent commits
git log --oneline -20

# Look for similar patterns
grep -r "related_functionality" --include="*.ts"
Step 3: Generate Analysis Report

Use the template: references/analysis-template.md

Report Structure:

  1. Issue Summary
  2. Root Cause Analysis (for bugs) / Feature Scope (for features)
  3. Proposed Solution Approach
  4. Estimated Effort
  5. Risk Assessment
  6. Learning Opportunities
  7. Recommendation

4. Decision Framework

Go/No-Go Checklist:

✅ Proceed if:

  • Issue is well-documented
  • Maintainers are responsive (< 1 week avg)
  • You understand the affected code
  • Effort matches available time
  • Clear path to solution

❌ Skip if:

  • Issue is unclear or lacks details
  • Maintainers unresponsive for months
  • Requires deep domain expertise you lack
  • Breaking changes or major refactoring needed
  • No clear acceptance criteria

5. Execution Strategy

Once you've identified a good issue:

  1. Comment on issue - Express interest, ask clarifying questions
  2. Wait for maintainer feedback - Get assigned before starting
  3. Create feature branch - fix/issue-number-description
  4. Implement incrementally - Small, focused commits
  5. Test thoroughly - Unit tests, integration tests
  6. Document changes - Update docs if needed
  7. Submit PR - Reference issue, describe changes

Advanced Techniques

Pattern-Based Issue Finding

Search for specific code patterns that indicate common issues:

# Find TODO comments
gh search code "TODO" --repo owner/repo

# Find deprecated patterns
gh search code "deprecated" --repo owner/repo --language TypeScript

# Find error handling gaps
gh search code "catch.*{}" --repo owner/repo

Project Health Indicators

Before investing time, check project health:

# Recent activity
gh repo view owner/repo --json updatedAt,pushedAt

# Contributor count
gh api repos/owner/repo/contributors --paginate | jq length

# Open issues/PRs ratio
gh repo view owner/repo --json openIssuesCount,openPullRequestsCount

# CI/CD status
gh api repos/owner/repo/actions/workflows

Healthy Project Signs:

  • Recent commits (within days/weeks)
  • Active PR reviews
  • CI/CD passing
  • Maintainers respond to issues/PRs
  • Clear contributing guidelines

Batch Analysis

For analyzing multiple issues efficiently:

# Export issues to JSON for analysis
gh issue list --repo owner/repo --state open --limit 50 --json number,title,labels,state,createdAt,comments

# Use the analysis script
python3 scripts/analyze_issues.py --repo owner/repo --output report.md

Best Practices

  1. Start Small - Begin with good first issue or documentation
  2. Understand Before Coding - Read code, understand patterns
  3. Communicate Early - Comment on issue before starting work
  4. Test Your Changes - Write tests, run existing tests
  5. Follow Conventions - Match project's coding style
  6. Be Patient - Reviews take time, iterate on feedback

Common Pitfalls

  • Starting work without maintainer acknowledgment
  • Missing existing PRs that address the same issue
  • Underestimating scope or complexity
  • Ignoring project conventions and patterns
  • Submitting large, unfocused PRs

Quick Reference

Issue Labels Priority (easiest to hardest):

  1. documentation → good first issue → help wanted
  2. bug (small scope) → bug (medium scope)
  3. enhancement (small) → feature (medium) → feature (large)

Time Estimation Guide:

  • Hours: Documentation, typo fixes, config changes
  • Days: Small bug fixes, minor features, test additions
  • Weeks: Medium bugs, moderate features, refactoring
  • Months: Large features, architectural changes

Success Indicators:

  • Clear issue description
  • Reproducible steps (for bugs)
  • Maintainer engagement
  • Existing similar PRs to learn from
  • Well-structured codebase

平台分布

OpenClaw

90%
按下载量换算2,491

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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