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Agent Skill · 研究检索

resolve-checks(解决检查)

resolve-checks 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。

resolve-checks 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,权限为接触敏感数据;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 65,351。

总安装 282周安装 12GitHub Stars 1,728下载 99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:resolve-checks(解决检查)
来源仓库:https://github.com/flowglad/flowglad
仓库路径:skills/resolve-checks
安装命令:
npx skills add https://github.com/flowglad/flowglad --skill resolve-checks
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/flowglad/flowglad --skill resolve-checks

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。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限与联网能力。建议结合原始 README 核验具体用法,注意维护状态和功能边界。

使用前请检查是否会触发文件读写或命令执行,确保环境安全。

来源仓库内路径:skills/resolve-checks

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/flowglad/flowglad --skill resolve-checks;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

    它需要接触敏感数据,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

resolve-checks 怎么安装?

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

resolve-checks 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。

resolve-checks 需要什么权限?

权限级别是接触敏感数据。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。

resolve-checks 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。

resolve-checks 用的人多吗?

公开数据是累计安装 282 次,近一周安装 12 次,下载 99 次,GitHub 1,728 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。

resolve-checks 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 1,728 星,维护活跃度相对可查。

先想清楚的地方

  • 需要接触敏感数据,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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
resolve-checks

解决检查 · 本页

2821,728接触敏感数据未明确未通过

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

Resolve Checks

Systematically resolve all failing CI checks and address PR review feedback by running tests locally first, fixing issues, incorporating valid feedback, and verifying CI passes.

When to Use

  • When CI checks are failing on your PR
  • When you have unresolved PR review comments
  • Before attempting to merge a PR
  • When you want to proactively verify all checks pass
  • After making changes and before pushing
  • After receiving code review feedback

Core Principle

Run tests locally first, don't wait for CI. You have access to the full test suite locally. Catching failures locally is faster than waiting for CI round-trips.

Reference Documentation

For detailed information on test types, setup files, utilities, and common failure patterns, see test-reference.md.

Process

1. Identify the PR

# Get current branch
git branch --show-current

Use GitHub MCP to find the PR:

mcp__github__list_pull_requests with state: "open" and head: "<branch-name>"

2. Run Local Test Suite

Run all tests locally before checking CI status:

cd platform/flowglad-next

# Step 1: Type checking and linting (catches most issues)
bun run check

# Step 2: Backend tests (unit + db combined)
bun run test:backend

# Step 3: Frontend tests
bun run test:frontend

# Step 4: RLS tests (run serially)
bun run test:rls

# Step 5: Integration tests (end-to-end with real APIs)
bun run test:integration

# Step 6: Behavior tests (if credentials available)
bun run test:behavior

Run these sequentially. Fix failures at each step before proceeding to the next.

Note: test:backend combines unit and db tests for convenience. You can also run them separately with test:unit and test:db.

3. Fix Local Failures

When tests fail locally:

  1. Read the error output carefully - Understand what's actually failing
  2. Reproduce the specific failure - Run the single failing test file: bun test path/to/failing.test.ts
  3. Fix the issue - Make the necessary code changes
  4. Re-run the specific test - Verify your fix works
  5. Re-run the full suite - Ensure no regressions
Common Failure Patterns
Failure TypeLikely Cause
Type errorsSchema/interface mismatch
Lint errorsStyle violations
Unit test failuresLogic errors, missing MSW mock
DB test failuresSchema changes, test data collisions
RLS test failuresPolicy misconfiguration, parallel execution
Integration failuresInvalid credentials, service unavailable

See test-reference.md for detailed failure patterns and fixes.

4. Check CI Status

After local tests pass, check CI:

mcp__github__get_pull_request_status with owner, repo, and pull_number

Review each check's status. For failing checks:

  1. Get the failure details from GitHub
  2. Compare with local results - Did it pass locally?
  3. If CI-only failure, investigate environment differences:

- Missing environment variables - Different Node/Bun versions - Timing/race conditions - External service availability

5. Fix CI-Specific Failures

For failures that only occur in CI:

  1. Check the CI logs - Look for the actual error message
  2. Check environment differences: # Compare local vs CI environment bun --version node --version
  3. Check for parallelism issues - Some tests may not be parallel-safe (see RLS tests)
  4. Investigate flaky tests - See "Handling Flaky Tests" section below

6. Handling Flaky Tests

CRITICAL: Do not simply re-run CI hoping tests will pass. Flaky tests indicate real problems that must be diagnosed and fixed.

When a test passes locally but fails in CI (or fails intermittently):

Step 1: Identify the Flakiness Pattern

Run the failing test multiple times locally:

# Run 10 times to check for intermittent failures
for i in {1..10}; do bun test path/to/flaky.test.ts && echo "Pass $i" || echo "FAIL $i"; done
Step 2: Diagnose the Root Cause

Common causes of flaky tests:

SymptomRoot CauseFix
Different results each runNon-deterministic data (random IDs, timestamps)Use fixed test data or sort before comparing
Timeout failuresAsync operation too slow or never resolvesAdd proper await, increase timeout, or fix hanging promise
Race conditionsTest doesn't wait for async side effectsUse proper async/await, add waitFor(), or test the callback
Order-dependent failuresTest relies on state from previous testEnsure proper setup/teardown isolation
Parallel execution conflictsTests share mutable state (DB, globals, env vars)Use unique test data, proper isolation helpers
External service failuresTest depends on real API availabilityMock the service or handle unavailability gracefully
Step 3: Fix the Test (Not Just Re-run)

Always fix the underlying issue:

// BAD: Non-deterministic - order not guaranteed
const results = await db.query.users.findMany()
expect(results).toEqual([user1, user2])

// GOOD: Sort before comparing
const results = await db.query.users.findMany()
expect(results.sort((a, b) => a.id.localeCompare(b.id))).toEqual([user1, user2].sort((a, b) => a.id.localeCompare(b.id)))
// BAD: Race condition - side effect may not be complete
triggerAsyncOperation()
expect(sideEffect).toBe(true)

// GOOD: Wait for the operation
await triggerAsyncOperation()
expect(sideEffect).toBe(true)
// BAD: Timing-dependent
await sleep(100) // Hope this is enough time
expect(result).toBeDefined()

// GOOD: Poll for condition
await waitFor(() => expect(result).toBeDefined())
Step 4: Verify the Fix

After fixing:

  1. Run the test 10+ times locally to confirm it's stable
  2. Push and verify it passes in CI
  3. If it still fails in CI, there's an environment difference to investigate

7. Push Fixes and Verify

After fixing issues:

# Stage and commit fixes
git add -A
git commit -m "fix: resolve failing checks

- [describe what was fixed]

Co-Authored-By: Claude <noreply@anthropic.com>"

# Push to trigger CI
git push

Then wait for CI to complete and verify all checks pass:

mcp__github__get_pull_request_status with owner, repo, and pull_number

8. Iterate Until Green

Repeat steps 4-7 until all checks pass. Common iteration scenarios:

  • New failures appear - Your fix may have caused regressions
  • Flaky test still fails - Revisit "Handling Flaky Tests" section, dig deeper into root cause
  • CI timeout - Tests may be too slow, need optimization

Remember: The goal is a stable, passing test suite - not a lucky CI run. Every fix should address the root cause.

9. Address PR Review Feedback

After CI checks pass, review and address any PR comments left by reviewers.

Step 1: Fetch PR Comments

Get all review comments on the PR:

mcp__github__get_pull_request_comments with owner, repo, and pull_number

Also get the formal reviews:

mcp__github__get_pull_request_reviews with owner, repo, and pull_number
Step 2: Categorize Each Comment

For each comment, determine if it is:

CategoryDescriptionAction
Valid & ActionableIdentifies a real issue, bug, or improvementImplement the fix
Valid but Won't FixCorrect observation but intentional design choiceReply explaining the rationale
Already AddressedIssue was fixed in a subsequent commitResolve the comment
Invalid/MisunderstandingBased on incorrect assumptions about the codeReply with clarification
Nitpick/OptionalStyle preference or minor suggestionImplement if quick, otherwise discuss
Step 3: Incorporate Valid Feedback

For each valid comment:

  1. Read the specific file and line mentioned in the comment
  2. Understand the concern - What issue is the reviewer pointing out?
  3. Implement the fix - Make the necessary code changes
  4. Reply to the comment - Briefly explain what was changed
mcp__github__add_issue_comment with owner, repo, issue_number, and body

Or reply directly to the review comment thread.

Step 4: Resolve Addressed Comments

After incorporating feedback or providing clarification:

For comments you addressed: The comment should be resolved to indicate the feedback was incorporated. If GitHub MCP supports resolving comments, use that. Otherwise, reply with "Done" or "Fixed in [commit hash]" to signal completion.

For invalid comments: Reply with a clear, respectful explanation of why the current implementation is correct or intentional. Include:

  • What the code actually does
  • Why it's designed this way
  • Any relevant context the reviewer may have missed

Example reply for invalid feedback:

This is intentional - the `userId` here refers to the authenticated user making the request, not the target user. The authorization check happens in the middleware at line 45, so by this point we know the user has permission.
Step 5: Handle Review Requests

If the PR has "Changes Requested" status:

  1. Address all blocking comments from that review
  2. Re-request review from the reviewer once changes are made: gh pr edit <PR_NUMBER> --add-reviewer <USERNAME>
Common Review Feedback Patterns
Feedback TypeHow to Address
Missing error handlingAdd try/catch or Result type handling
Type safety concernsAdd proper types, remove any
Missing testsAdd test cases for the mentioned scenarios
Security issuesFix immediately, these are blocking
Performance concernsEvaluate and optimize if valid
Code clarityRename variables, add comments, or refactor
Breaking changesEnsure backwards compatibility or document migration

10. Final Verification

After addressing all feedback:

  1. Re-run local tests - Ensure your fixes didn't break anything
  2. Push changes - Trigger CI again
  3. Verify CI passes - All checks should be green
  4. Verify comments resolved - No unaddressed blocking feedback remains

Quick Reference

CommandWhat It Tests
bun run checkTypeScript types + ESLint
bun run test:unitPure functions, isolated logic
bun run test:dbDatabase operations, queries
bun run test:backendCombined unit + db tests
bun run test:rlsRow Level Security policies (run serially)
bun run test:frontendReact components and hooks
bun run test:integrationEnd-to-end with real services
bun run test:behaviorInvariants across dependency combinations

For detailed test types, setup files, utilities, failure patterns, and parallel safety rules, see test-reference.md.

Output

Report the final status:

If all checks pass and feedback addressed:

  • Confirm all local tests pass
  • Confirm all CI checks are green
  • List any notable fixes made
  • Summarize PR feedback that was incorporated
  • Note any comments that were resolved with explanations (not code changes)

If checks still fail:

  • List which checks are still failing
  • Describe what was attempted
  • Explain what remains to be investigated

If feedback remains unresolved:

  • List comments that still need discussion
  • Explain any disagreements with reviewer feedback
  • Suggest next steps (e.g., "discuss with reviewer" or "waiting for clarification")

平台分布

Codex

35.05%
按下载量换算35

Claude

28.41%
按下载量换算28

Cursor

19.51%
按下载量换算19

Gemini CLI

8.36%
按下载量换算8

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

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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