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Agent Skill · 研究检索

prod-readiness(prod readiness 搜索)

prod-readiness 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。

prod-readiness 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 66,724。

总安装 259周安装 11GitHub Stars 11下载 91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:prod-readiness(prod readiness 搜索)
来源仓库:https://github.com/acedergren/agentic-tools
仓库路径:skills/prod-readiness
安装命令:
npx skills add https://github.com/acedergren/agentic-tools --skill prod-readiness
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/acedergren/agentic-tools --skill prod-readiness

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、检索和筛选产品上线准备相关的资料与 checklist。适合在发布前验证功能、合规或运维条件时使用。通过 GitHub 安装,支持 Codex、Claude、Cursor 和 Gemini CLI 等宿主环境。使用时需明确产品阶段和关键验收标准。安装前建议确认权限范围,防止访问未授权文档。

来源仓库内路径:skills/prod-readiness

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/acedergren/agentic-tools --skill prod-readines…;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

prod-readiness 怎么安装?

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

prod-readiness 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。

prod-readiness 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/acedergren/agentic-tools --skill prod-readiness 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。

prod-readiness 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。

prod-readiness 用的人多吗?

公开数据是累计安装 259 次,近一周安装 11 次,下载 91 次,GitHub 11 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。

prod-readiness 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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
prod-readiness

prod readiness 搜索 · 本页

25911执行命令未明确通过

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

Prod-Readiness

Spawns 5 specialist review agents in parallel, each writing findings to a dedicated report file. Synthesizes into a prioritized production readiness report with executive summary, blockers, and remediation plan.

Do NOT load when

  • user wants only one narrow review (use the relevant specialist skill instead)
  • codebase is mid-implementation with a knowingly broken baseline
  • task is to fix issues rather than assess readiness

NEVER

  • Never run on a dirty working tree — uncommitted changes mean agent findings don't map to a stable commit; findings become unreproducible and the report loses traceability
  • Never run on a failing baseline — a red test suite makes it impossible to distinguish pre-existing failures from review findings; always confirm baseline is green first
  • Never synthesize before all 5 agents finish writing — partial synthesis produces a report that omits entire dimensions; a CRITICAL finding from a slow agent gets buried in LOW backlog
  • Never let agents write to the same file — each agent has its own REVIEW_*.md; shared files produce interleaved, unparseable output
  • **Never commit REVIEW_*.md files from a previous run without clearing them** — stale findings from a prior session mixed with new ones produce a misleading severity distribution
  • Never rate an issue CRITICAL without a file:line reference — untraceable CRITICALs create review fatigue and get deprioritized the same as vague LOWs

Pre-flight (always run before spawning agents)

git status --short          # must be clean
git log --oneline -5        # confirm recent work is committed
npx vitest run --reporter=dot 2>&1 | tail -5  # must be green

If tests are failing: warn the user, do not proceed until baseline is green.

Agent specializations

Team name: prod-review-<YYYYMMDD>

Spawn all 5 in parallel via TeamCreate + Task.

AgentReport fileDomain
security-auditorREVIEW_SECURITY.mdOWASP Top 10, RBAC gaps, input validation, secrets, auth flows, webhook security
test-coverage-analystREVIEW_TESTING.mdUncovered critical paths, always-passing tests, missing error path tests, flaky patterns
performance-infraREVIEW_PERFORMANCE.mdN+1 queries, unbounded queries, missing indexes, memory leaks, graceful shutdown, rate limiting
observability-analystREVIEW_OBSERVABILITY.mdUnhandled rejections, PII in logs, error response consistency, structured logging, health endpoint
code-qualityREVIEW_QUALITY.mdDead code, circular deps, TODO/FIXME density, package boundary violations, type safety gaps

security-auditor prompt

Review this codebase for security vulnerabilities. Write ALL findings to REVIEW_SECURITY.md.

Check:
1. OWASP Top 10: injection, broken auth, IDOR, XSS, CSRF, misconfiguration
2. RBAC gaps: endpoints not protected by resolveOrgId() or permission checks
3. Input validation: user input reaching SQL without bind parameters
4. Secrets: hardcoded credentials, missing env var validation at startup
5. Dependency vulnerabilities: npm audit --json | jq '.vulnerabilities | length'
6. Auth flows: session fixation, token validation, logout behavior
7. Webhook security: HMAC validation, SSRF protection in isValidWebhookUrl()

Format findings as: [CRITICAL|HIGH|MEDIUM|LOW] Description — File:Line — Suggested fix

test-coverage-analyst prompt

Analyze test coverage quality. Write ALL findings to REVIEW_TESTING.md.

Check:
1. Run: npx vitest run --reporter=json 2>/dev/null | jq '.testResults[].testFilePath' | wc -l
2. Critical paths with ZERO test coverage (routes, services, repositories)
3. Tests that always pass (vi.fn() calls with no assertions)
4. Missing error path tests (most routes only test happy path)
5. Flaky test patterns (time-dependent, missing afterEach cleanup)
6. Mock coverage: branches of mocked functions not tested

Format: [CRITICAL|HIGH|MEDIUM|LOW] Area — Current coverage — Risk — Suggested tests

performance-infra prompt

Review performance and infrastructure readiness. Write ALL findings to REVIEW_PERFORMANCE.md.

Check:
1. N+1 queries (loops with SQL inside), missing indexes for frequent queries
2. Unbounded queries: SELECT without LIMIT
3. Memory: unclosed connections, event listeners without removeListener
4. Docker: resource limits in docker-compose.yml, health check configuration
5. Graceful shutdown: SIGTERM handling, connection drain
6. Rate limiting: all public endpoints covered
7. Caching: query results that could be cached

Format: [CRITICAL|HIGH|MEDIUM|LOW] Issue — File:Line — Impact — Fix

observability-analyst prompt

Review error handling and observability completeness. Write ALL findings to REVIEW_OBSERVABILITY.md.

Check:
1. Unhandled rejections: async functions without try/catch in route handlers
2. Error boundaries: frontend error handling for route errors
3. PII in logs: user emails, tokens, or sensitive data in log statements
4. Error response consistency: all errors use the project's error hierarchy
5. Structured logging: all log calls use structured objects, not string concatenation
6. Error aggregation coverage: errors reaching the global handler vs. swallowed in try/catch
7. Health endpoint: does /health check critical dependencies (DB connection)?

Format: [CRITICAL|HIGH|MEDIUM|LOW] Issue — File:Line — Risk — Fix

code-quality prompt

Review code quality and architecture health. Write ALL findings to REVIEW_QUALITY.md.

Check:
1. Dead code: exported functions never imported
2. Circular dependencies: run pnpm run check:circular if available
3. TODO/FIXME/HACK density: grep -rn "TODO\|FIXME\|HACK" apps/ packages/ --include="*.ts"
4. Package boundary violations: cross-app imports
5. Inconsistent patterns: code not following established conventions
6. Type safety gaps: any casts, @ts-ignore, non-null assertions (!) in production code

Format: [CRITICAL|HIGH|MEDIUM|LOW] Issue — File:Line — Debt impact — Suggested refactor

Monitor agents

ls -la REVIEW_*.md   # confirm files being written
wc -l REVIEW_*.md    # track progress

If no file update from an agent in 2 minutes, send a check-in message.

Synthesize

Run after all 5 REVIEW_*.md exist. Use node scripts/summarize-review-reports.js or manually synthesize into PRODUCTION_READINESS_REPORT.md:

# Production Readiness Report — <date>

## Executive Summary
<1 paragraph: ship / don't ship with top 3 reasons>

## Quality Gate Results
- Tests: <pass/fail count>
- TypeScript: <clean / N errors>
- Lint: <clean / N warnings>

## Critical Blockers (fix before deploy)
## High Priority (fix within first sprint post-launch)
## Medium Priority (fix within first month)
## Low Priority / Tech Debt (backlog)

Each item: **[CATEGORY] Title** with File:Line, Risk, Effort (S/M/L), Fix.

Final quality gate

npx vitest run --reporter=dot 2>&1 | tail -10
cd apps/api && npx tsc --noEmit 2>&1 | tail -5
npm audit --audit-level=high 2>&1 | tail -10

Append results to report.

Commit and shutdown

git add REVIEW_*.md PRODUCTION_READINESS_REPORT.md
git commit -m "docs(review): production readiness report $(date +%Y-%m-%d)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>"

Shut down all agents, clean up team.

Arguments

  • (empty) — full review
  • --quick — skip performance and code-quality agents, focus on security and test coverage
  • --security-only — spawn only security-auditor
  • --no-commit — generate reports but don't commit

平台分布

Codex

37.21%
按下载量换算34

Claude

31.21%
按下载量换算28

Cursor

17.77%
按下载量换算16

Gemini CLI

9.81%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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/acedergren/agentic-tools --skill prod-readiness 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。目前只有一个公开来源,建议同时核对源仓库。

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