여러 업체와 공공기관의 사이버 보안 보고서를 검색하고 가져와 위협, 랜섬웨어, 침해 통계 등의 추세를 비교합니다. 분석에는 출처별 업체, 연도, 보고서를 표시하고 자료 간 차이도 따로 다룹니다.
- 분류별 위협 보고서를 찾을 때
- 특정 업체의 보고서를 가져올 때
- 여러 업체의 랜섬웨어 동향을 비교할 때
Cloudflare Workers, Pages, 스토리지, DNS, 큐를 배포하고 관리하며 계정 상태를 확인하고 배포 문제를 조사합니다. Wrangler 프로젝트를 변환하거나 상태 비저장 Worker 형태의 MCP 서버를 구성할 수도 있습니다.
Deploys and manages Cloudflare Workers, Pages, KV, R2, D1, DNS, and Queues with the cf CLI, converts Wrangler projects to cf, and authors MCP servers as Workers; never call cf or wrangler raw for a write. USE WHEN deploy worker, deploy pages, ship worker, push to cloudflare, wrangler deploy, Cloudflare, Pages, DNS, KV, R2, D1, Queues, Workers AI, worker logs, build an MCP server, write an MCP server, expose this as MCP, MCP server structure, what shape should our MCP server be, MCP spec, server/discover, MCP stateless. NOT FOR non-Cloudflare deploys or MCP servers we only consume.
실행 점수 미검증
설치 방법 보기Cloudflare Workers, Pages, KV, R2, D1, DNS, Queues를 배포하고 관리하며 계정 상태와 로그를 확인합니다. 배포가 실패하면 인증 상태와 권한을 살펴 원인을 좁힙니다. Wrangler 프로젝트를 Cloudflare 설정 방식으로 변환하고, 상태 비저장 Worker로 실행되는 MCP 서버의 구성을 도울 수도 있습니다. 계정 작업은 전용 CfEnv 도구로 수행하며, 실행 전 코드 검토와 배포 후 작동 확인을 포함하는 절차를 따릅니다.
Worker나 사이트를 Cloudflare에 공개하거나, DNS 및 스토리지 설정을 확인하거나, 인증 오류를 조사할 때 유용합니다. 기존 Wrangler 프로젝트를 이전하거나 Cloudflare에서 실행할 MCP 서버를 설계할 때도 사용할 수 있습니다.
사용하려면 Cloudflare API 토큰과 계정 ID를 설정해야 합니다. 계정 작업에는 cf CLI와 전용 실행 도구를 사용하며, 보통 배포 전에 코드 검토가 필요합니다. Pages 배포는 명시적으로 요청한 경우에만 진행합니다. Cloudflare 이외의 배포나 클라이언트로만 사용하는 MCP 서버의 설정에는 사용하지 않습니다.
이 소개문은 공개된 SKILL.md를 바탕으로 AI(OpenAI Codex)가 작성했습니다. 정확한 사양은 아래 원문을 확인하세요.
AI가 SKILL.md의 내용에서 주의가 필요한 작업과 도입 전제를 확인했습니다. 점수는 실제로 실행한 결과(실행 검증)만으로 매깁니다.
점수에는 넣지 않았습니다. 2026년 10월 28일 기준으로 AI(OpenAI Codex)가 판정했습니다. 참고용이므로 설치 전에 원문도 확인해 주세요.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Contents: Ideal State · Intent Routing · How It Works · Data & Config · Gotchas · Examples
Deploys and manages Cloudflare Workers, Pages, KV, R2, D1, DNS, and Queues with one tool, Cloudflare's cf CLI, run through LIFEOS/TOOLS/CfEnv.ts so the master token reaches the cf process and nothing else. A raw Cloudflare CLI call either runs on whatever token the calling shell exports (a shell profile that exports .env puts it in every interactive shell, the agent's Bash shell included), outside CfEnv's probes and review, or coasts on a stale OAuth login, which produces false "the token is dead, rotate it" diagnoses. This skill encodes one tool, one credential, one runner, and one set of verified probes so deploys and queries land the first time.
LIFEOS/TOOLS/CfEnv.ts, so the master token from .env reaches one cf process and nothing else: no raw cf or Wrangler write, no sourced .env, no OAuth fallback.auth whoami and a scope-matching probe before any rotation is considered.References/McpServerSpec.md.| Intent | Trigger | File |
|---|---|---|
| Deploy | Any Cloudflare write (deploy, secret, D1 migration or write, KV/R2 write, queue create, Pages deploy), an approved teardown, and converting a Wrangler project | Intents/Deploy.md |
| Create | Create a Worker or MCP server | Intents/Create.md |
| Troubleshoot | Deployment issues | Intents/Troubleshoot.md |
| Query | Cloudflare state (list workers, versions, KV, DNS, D1, logs, analytics), read-only via cf | Intents/Query.md |
| Explorer | Inspect Worker bindings/data live via Local Explorer | Intents/Explorer.md |
| File | Read when |
|---|---|
References/McpServerSpec.md | Before writing any MCP server. The normative 2026-07-28 build contract — stateless shape, server/discover, resultType, CacheableResult, required headers, MRTR, deprecated features not to adopt. Every MCP server built here uses this structure. |
References/CfCli.md | finding the cf command for a task (the decision table), cf output, auth order, --local mode, Access, previews, secrets-store and other capabilities, or falling back to Code Mode MCP |
References/RuntimeGotchas.md | writing or applying a D1 migration, exporting or backing up D1, long waitUntil or cron jobs, static-asset caching headers, Durable Object containers, deciding Container vs isolate, or probing an Astro POST route |
References/StaticSiteConfig.md | writing or converting a project's cloudflare.config.ts and vite.config.ts, static sites especially |
Setup.md | first-time setup: the two .env keys, the deploy review's reviewer and waivers, the Config.md entries, and the no-account check that CfEnv's allowlist guard is in place |
LIFEOS/TOOLS/CfEnv.help.md | CfEnv's usage, verb allowlist and refusals |
CF_PACKAGE in LIFEOS/TOOLS/CfEnv.ts (cf@1.0.0-beta.5 when this was written; read the constant for the current pin), not whatever cf is installed globally. The pin costs container Workers: a Durable Object container needs cf@1.0.0-beta.10 or later (References/RuntimeGotchas.md § Durable Object containers), so a container Worker cannot deploy through CfEnv until the pin moves. Moving it is a deliberate change: beta.14 dropped observability telemetry query, which scheduled log readers rely on (LifeOS's optional Vigil monitor is one), so check every command your callers run against the new version first. Its command map, discovery, output, local mode and extra capabilities are in References/CfCli.md.LIFEOS/TOOLS/CfEnv.ts runs one cf command with CLOUDFLARE_API_TOKEN and CLOUDFLARE_ACCOUNT_ID from ~/.claude/.env injected into that child process only, behind a verb allowlist. secret put is translated so the value travels on stdin, never as an argument. Every non-dry-run deploy first runs the independent code review (LIFEOS/TOOLS/Review.ts), which needs a reviewer model from the other vendor and fails closed without one (Setup.md § Deploy review); a blocker stops the deploy. After a deploy it checks each declared domain's X and LinkedIn link card, a public fetch that needs no setup.References/CfCli.md § Code Mode MCP fallback).Wrangler is retired here. Projects carry cloudflare.config.ts + vite.config.ts (the @cloudflare/vite-plugin bundles the Worker, so no project needs Wrangler installed). A repo that still has a wrangler.toml|json|jsonc is unconverted: convert it (Intents/Deploy.md § Converting a Wrangler project) before deploying.
Default to Workers for everything, static sites included; use Pages only when the user explicitly asks for Pages. A static site (HTML/CSS/JS/JSON, with or without a build step) deploys as a Worker with Static Assets, configured by cloudflare.config.ts and vite.config.ts as in References/StaticSiteConfig.md. Then deploy through Intents/Deploy.md. Add an entrypoint Worker script only if the site needs server logic. Reach for cf pages deploy only when the user explicitly requests Pages.
Every worker serves only its authoritative URL. A worker with a custom domain or route ships workersDev: false + previewUrls: false, set explicitly as in References/StaticSiteConfig.md, so there is no *.workers.dev second origin. The one exception is a worker whose workers.dev URL is the authoritative URL because no custom domain exists (for example an internal worker, or one not yet launched on its domain). To turn a stray dev URL off: POST /accounts/{id}/workers/scripts/{name}/subdomain with {"enabled":false,"previews_enabled":false}. A scheduled check that GETs each routed worker's *.workers.dev origin and flags anything other than 404/410 is the backstop; if Config.md names one under dev_url_check:, read its latest result before treating the account as clean.
Every account-touching command runs as bun ~/.claude/LIFEOS/TOOLS/CfEnv.ts <cf args>, on the pinned version. A global cf serves only the plain calls (discovery, --help, --local, a project's dry run); updating it changes nothing CfEnv runs. Re-probe (--version, --help) on every pin move, because command names still move between betas.
bun add -g cf@latest # plain cf for discovery and local work; LifeOS rule: bun only
cf cli telemetry status # match PREFERENCES.md § Telemetry when the install sets one
cf cli search queries anonymous: describe the action and resource type, never a name, domain, ID or token.CfEnv.ts auth whoami is the auth probe.--dry-run; use it first on anything destructive.A single master CLOUDFLARE_API_TOKEN lives in ~/.claude/.env: one Account API Token granted only the scopes your deploys use. A site that ships Workers with a D1 database on its own domain, for example, needs Workers Scripts edit, Workers Routes edit, D1 edit and Zone DNS edit, and nothing account-wide beyond that; add a product's scope when you start deploying it. The token's name and exact permission set are yours to record in Config.md, never here. Every Cloudflare operation — deploys, reads, secrets, Pages, D1, R2, KV, DNS — uses it through CfEnv. Code that needs the token at runtime resolves process.env.CLOUDFLARE_API_TOKEN only, never a per-product variant; per-product names (_WORKERS_EDIT, _WORKERS_READ, _D1) split one credential into several that drift apart. Never unset the token to coast on an OAuth login; that false fix hides the real fault and restarts the rotation loop. A Worker that needs the token at runtime gets it with CfEnv.ts secret put CLOUDFLARE_API_TOKEN --name <worker> --from-env, and every such Worker is re-threaded after a rotation; keep the list of them in Config.md.
First-time setup, the Config.md entries and a no-account proof: Setup.md.
<configRoot>/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/Cloudflare/Config.md (configRoot is $CLAUDE_CONFIG_DIR when set, else ~/.claude): the token's name and permission set, the Workers that consume the token at runtime, and the optional new_zone_sweep:, dev_url_check: and scanner_registration: commands. The skill body reads it; no code parses it.PREFERENCES.md in the same directory; when present they override defaults here.CLOUDFLARE_API_TOKEN and CLOUDFLARE_ACCOUNT_ID in ~/.claude/.env, read only by LIFEOS/TOOLS/CfEnv.ts, which stops with exit 2 when the token is missing.LIFEOS/MEMORY/STATE/deploys.jsonl (commit, review, probes, version and previous version, for rollback) and records one estate event in the Ledger through LIFEOS/TOOLS/LedgerDeployEvent.ts (MEMORY/SYSTEMUPDATES/deploys.jsonl).DeployRegistrationGate checks, is in Intents/Deploy.md § Safety gates./user/tokens/verify requires User Details: Read, which an Account API Token scoped to deploy work usually lacks, so it returns code 1000 on a valid token. Never use it to test the master. Use a scope-matching probe (e.g. /accounts/{id}/workers/scripts) or CfEnv.ts auth whoami. A false negative here leads straight into needless rotation loops./accounts/{id}/d1/database, /pages/projects, /r2/buckets, /storage/kv/namespaces, /workers/scripts, /analytics_engine/sql, /zones) is the proof of scope; older notes claiming a token lost a scope go stale.bunx <CF_PACKAGE> <command> --help) before blaming the account; bun add -g cf@latest or bun add -d cf@latest updates only plain cf, never what CfEnv runs.CLOUDFLARE_API_TOKEN from its environment, which an interactive shell carries whenever its profile exports .env, so a raw call runs outside CfEnv's probes, review and allowlist, and fails wherever no shell export exists. Every script, package script or tool that calls the account runs bun "$HOME/.claude/LIFEOS/TOOLS/CfEnv.ts" <args> (TypeScript: spawn bun with CfEnv as the first argument). --local, --dry-run and discovery calls stay plain cf. A Wrangler-era repo usually has several raw calls in package scripts and tools; find them all when converting.--dry-run on every secret put for that reason, before stdin or any credential is read.cf deploy deletes every secret the config does not declare. A secret set with secret put survives only while cloudflare.config.ts lists it as NAME: bindings.secret() under env. Wrangler kept undeclared secrets, so every converted project is exposed. A dropped secret can lock every user out of a site with no error at deploy time. Declare every live secret before the next deploy (workers secrets list --worker <name> shows them), then re-list after deploying. Also: secret put --from-env KEY reads ~/.claude/.env, not the shell, so pipe other values on stdin (CfEnv.ts secret put NAME --name <worker> < file).cf/build/<Worker> directory), it reviews the repository root instead, because the generated folder's own diff is always empty.d1 query output through CfEnv is JSON on the combined stream. Capture with 2>&1 and parse from the first [; redirecting stderr to /dev/null can leave nothing to parse.Example 1: Deploy a Worker
User: "deploy the MCP server to Cloudflare"
-> Deploy intent
-> "Deployed version <id>, live at https://<custom-domain>" — the version ID from cf's deploy output, confirmed in `CfEnv.ts workers versions list`, plus a live probe of the custom domain
Example 2: Query Cloudflare state
User: "list all my workers"
-> Query intent
-> A table of every deployed worker, read from `CfEnv.ts workers list` this turn
Example 3: Fix deployment error
User: "Cloudflare deploy is failing with auth error"
-> Troubleshoot intent
-> `CfEnv.ts auth whoami` and the scope-matching probe (/accounts/{id}/workers/scripts?per_page=1) run first; 200 means token is fine and failure is downstream; 403 or code 10000 means checking the account ID and scope against Config.md; only a 401 or an invalid-token error leads to rotation
-> "Probe returned 200 — token healthy; root cause was a stale binding in cloudflare.config.ts. Redeployed successfully."
Example 4: Check DNS records
User: "what DNS records does example.com have?"
-> Query intent
-> The full DNS record table from `CfEnv.ts dns records list -z <zone>`
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여러 업체와 공공기관의 사이버 보안 보고서를 검색하고 가져와 위협, 랜섬웨어, 침해 통계 등의 추세를 비교합니다. 분석에는 출처별 업체, 연도, 보고서를 표시하고 자료 간 차이도 따로 다룹니다.
기능이나 구성 요소 자체의 설계 요구와 시스템 전체의 목표를 세 단계로 비교합니다. 설계상의 충돌과 적절한 구현 범위를 정리하고, 제안한 설계가 전체 방향과 맞는지 평가합니다.
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