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Agent Skill · 研究检索

fixing-streamlit-ci(修复 streamlit ci)

fixing-streamlit-ci 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。

fixing-streamlit-ci 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,权限为操作浏览器;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 36,669。

总安装 1,885周安装 77GitHub Stars 44,377下载 604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:fixing-streamlit-ci(修复 streamlit ci)
来源仓库:https://github.com/streamlit/streamlit
仓库路径:skills/fixing-streamlit-ci
安装命令:
npx skills add https://github.com/streamlit/streamlit --skill fixing-streamlit-ci
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/streamlit/streamlit --skill fixing-streamlit-ci

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。

fixing-streamlit-ci 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于需要根据关键词或任务场景从来源线索中获取信息的场景。通过 npx skills add 命令安装,需结合原始 README 核验具体用法。

安装前建议确认权限范围、维护状态及是否触发联网或文件读写操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/fixing-streamlit-ci

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/streamlit/streamlit --skill fixing-streamlit-c…;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

    它需要操作浏览器,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

fixing-streamlit-ci 怎么安装?

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

fixing-streamlit-ci 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。

fixing-streamlit-ci 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

fixing-streamlit-ci 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。

fixing-streamlit-ci 用的人多吗?

公开数据是累计安装 1,885 次,近一周安装 77 次,下载 604 次,GitHub 44,377 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。

fixing-streamlit-ci 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。
  • 来源仓库有 44,377 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
fixing-streamlit-ci

修复 streamlit ci · 本页

1,88544,377操作浏览器未明确有提醒

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

Fix CI Failures

Diagnose and fix failed GitHub Actions CI jobs for the current branch/PR using gh CLI and git commands.

When to Use

  • CI checks have failed on a PR
  • You need to understand why a workflow failed
  • You want to apply fixes and verify locally

Workflow

Copy this checklist to track progress:

- [ ] Verify authentication
- [ ] Gather context & find failed jobs
- [ ] Download & analyze logs
- [ ] Present diagnosis to user
- [ ] Apply fix & verify locally
- [ ] Push & recheck CI

1. Verify Authentication

gh auth status

If authentication fails, prompt user to run gh auth login with appropriate scopes.

2. Gather PR Context

# Get PR for current branch
gh pr view --json number,title,url,headRefName

# Get PR description and metadata
gh pr view --json title,body,labels,author

# List changed files
gh pr diff --name-only

# All changes
gh pr diff

3. Check CI Status

# List all checks (shows pass/fail status)
gh pr checks

# Get detailed check info
gh pr checks --json name,state,conclusion,detailsUrl,startedAt,completedAt

# List only failed runs
gh run list --branch $(git branch --show-current) --status failure --limit 10

# Check if CI is still running
gh run list --branch $(git branch --show-current) --status in_progress

4. Find Failed Jobs

# View run details (get RUN_ID from previous step)
gh run view {RUN_ID}

# List failed jobs with IDs
gh run view {RUN_ID} --json jobs --jq '.jobs[] | select(.conclusion == "failure") | {id: .databaseId, name: .name}'

# List failed jobs with their failed steps
gh run view {RUN_ID} --json jobs --jq '.jobs[] | select(.conclusion == "failure") | {name: .name, steps: [.steps[] | select(.conclusion == "failure") | .name]}'

5. Download & Analyze Logs

Primary method:

# Get failed logs (last 250 lines usually contains the error)
gh run view {RUN_ID} --log-failed 2>&1 | tail -250

# Target a specific failed job by ID
gh run view {RUN_ID} --job {JOB_ID} --log-failed 2>&1 | tail -100

Fallback for pending logs:

REPO=$(gh repo view --json nameWithOwner --jq '.nameWithOwner')
gh api "/repos/${REPO}/actions/jobs/{JOB_ID}/logs"

Smart log extraction (examples):

# Context around failure markers
gh run view {RUN_ID} --log-failed 2>&1 | grep -B 5 -A 10 -iE "error|fail|exception|traceback|panic|fatal" | head -100

# Python tests - pytest summary
gh run view {RUN_ID} --log-failed 2>&1 | grep -E -A 50 "FAILED|ERROR|short test summary"

# TypeScript/ESLint errors
gh run view {RUN_ID} --log-failed 2>&1 | grep -E -B 2 -A 5 "error TS|error  "

# E2E snapshot mismatches
gh run view {RUN_ID} --log-failed 2>&1 | grep -E -B 2 -A 5 "Missing snapshot for|Snapshot mismatch for"

6. Analyze Failure

Identify:

  • Error type: Lint, type check, test failure, build error
  • Root cause: First/primary error (not cascading failures)
  • Affected files: Which files need changes
  • Error message: Exact error text

Common CI failure categories:

CategoryWorkflowMake CommandAuto-fix
Python lintpython-tests.ymlmake python-lint✅ make autofix
Python typespython-tests.ymlmake python-types❌ Manual
Python testspython-tests.ymlmake python-tests❌ Manual
Frontend lintjs-tests.ymlmake frontend-lint✅ make autofix
Frontend typesjs-tests.ymlmake frontend-types❌ Manual
Frontend testsjs-tests.ymlmake frontend-tests❌ Manual
E2E testsplaywright.ymlmake run-e2e-test <file>❌ Manual
E2E snapshotsplaywright.ymlmake run-e2e-test <file>✅ make update-snapshots
NOTICESjs-tests.ymlmake update-notices✅ make update-notices
Min constraintspython-tests.ymlmake update-min-deps✅ make update-min-deps
Pre-commitenforce-pre-commit.ymluv run pre-commit run --all-files✅ Mostly auto-fix
Relative importsensure-relative-imports.ymlCheck script output❌ Manual
PR Labelsrequire-labels.ymlN/A⏭️ Ignore
💡 Quick win: Run make autofix first for lint/formatting failures.

7. Present Diagnosis

For multiple failures, list all and let user choose:

CI Failure Analysis for PR #{NUMBER}: {TITLE}
═══════════════════════════════════════════════════════════════

Found {N} failed jobs/checks:

─────────────────────────────────────────────────────────────────

1. [LINT] Python Unit Tests → Run Linters
   Workflow: python-tests.yml (GitHub Actions)
   Error:    Ruff formatting error in lib/streamlit/elements/foo.py
   Auto-fix: ✅ `make autofix`

2. [TYPE] Javascript Unit Tests → Run type checks
   Workflow: js-tests.yml (GitHub Actions)
   Error:    TS2322: Type 'string' is not assignable to type 'number'
   File:     frontend/lib/src/components/Bar.tsx:42
   Auto-fix: ❌ Manual fix required

─────────────────────────────────────────────────────────────────

Which failures should I address?
Recommended: "1" (auto-fixable)
Options: "1" | "1,2" | "1-2" | "all" | "only auto-fixable"

For single failure, show detailed analysis:

─────────────────────────────────────────────────────────────────
Analyzing: [TYPE] Javascript Unit Tests → Run type checks
─────────────────────────────────────────────────────────────────

Category: TYPE
Workflow: js-tests.yml
Job:      js-unit-tests (ID: 12345678)
Step:     Run type checks

Error snippet:
  frontend/lib/src/components/Bar.tsx:42:5
  error TS2322: Type 'string' is not assignable to type 'number'.

Proposed Fix:
  Change type annotation or fix the value type

─────────────────────────────────────────────────────────────────

Would you like me to:
  [1] Apply the fix automatically
  [2] Show the proposed changes first
  [3] Run local verification only
  [4] Skip this and move to next failure

8. Apply Fix & Verify Locally

After user approval, apply fix and run verification:

# Run all checks (lint, types, tests) on changed files
make check

# Python tests (specific)
uv run pytest lib/tests/path/to/test_file.py::test_name -v

# Frontend tests (specific)
cd frontend && yarn test path/to/test.test.tsx

# E2E tests
make run-e2e-test {test_file.py}

# E2E snapshots
make update-snapshots

9. Summary & Push

git status --short
git diff --stat

Report what failed, what changed, and local verification result.

git add -A
git commit -m "fix: resolve CI failure in {workflow/step}"
git push

10. Recheck CI Status

gh pr checks --watch
# Or re-run failed jobs
gh run rerun {RUN_ID} --failed

Rules

  • Focus on root cause: First error, not cascading failures
  • Minimal fixes: Smallest change that fixes the issue
  • Don't skip tests: Never disable tests to "fix" CI
  • Verify locally: Always run appropriate local command
  • Preserve intent: Understand what code was trying to do

Error Handling

IssueSolution
Auth failedgh auth login with workflow/repo scopes
No PR for branchgh run list to check workflow runs
CI still runninggh pr checks --watch
Logs pendingRetry with job logs API
No failed checksAll passing ✅
Rate limitedWait and retry
Flaky testRe-run: gh run rerun {RUN_ID} --failed

平台分布

Codex

32.53%
按下载量换算196

Claude

29.62%
按下载量换算179

Cursor

19.39%
按下载量换算117

Gemini CLI

9.6%
按下载量换算58

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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