cmdxray

io.github.aurelio-nakamura由 GitHub 帳號 aurelio-nakamura 發布v0.26.1更新於 Oct 24, 2026

Offline MCP server: explains shell commands token-by-token and flags destructive ones for AI agents.

已驗證STDIO僅桌面開發者工具安全與監控

概覽

AI 產生的概覽

離線 MCP 伺服器,逐詞解釋 shell 指令並標記具破壞性的指令,讓助理在執行前先做安全檢查。

可以做什麼
檢查單一 shell 指令的破壞性模式,回傳危險、注意或無風險的結論與白話說明,可作為執行前的關卡。掃描整段多行指令碼,列出每條有風險的指令及其行號。逐詞解釋指令:程式、參數、運算元、管線、重導向與子 shell,並附上同樣的風險評估。解釋來自內建知識庫,未知指令會退回本機 man 手冊摘要。
適用情境
適用於 AI 程式助理自行產生並執行 shell 指令、希望在執行前做離線安全檢查的情況,或需要在儲存、執行前預先掃描產生的指令碼。
執行需求
透過 npx 以 stdio 在本機執行,也可全域安裝執行檔或使用容器映像。未宣告帳號、API 金鑰或環境變數。可離線運作;對未收錄的指令會讀取本機 man 手冊。
安裝前請注意
它是啟發式、逐行掃描的工具,並非完整的 shell 解析器,無風險結論不保證絕對安全。MCP 伺服器只做回報,不執行指令;guard 與 lint 屬於可選的 shell 與 CI 變更。分享連結會把指令文字放進網址中。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 cmdxray,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

cmdxray

[OpenSSF Scorecard] [npm] [cmdxray MCP server]

X-ray any shell command — offline. Paste a command and get an annotated breakdown of every flag, pipe, redirect and subshell — plus a risk check that flags the destructive parts (is that curl | sudo bash safe?) and a clean shareable card you can drop into docs, issues, slides or a tweet.

No server. No upload. Nothing leaves your machine.

Building an AI agent? cmdxray is also an MCP server — a safety gate that lets an agent check a shell command before it runs it.

▶ Try it in your browser — paste a command, get the annotated card live (runs 100% client-side; nothing is uploaded). Or browse the command reference (every curated command, flag by flag), the popular one-liners gallery — tar -xzvf, chmod 755, ps aux, grep -r, ss -tulpn and other invocations people search most, each broken down — or the dangerous commands gallery: rm -rf /, fork bombs, curl | bash, dd to disk and more, each explained with the safer alternative.

[cmdxray annotating a command in the terminal]

Run cmdxray <command> and every token — subcommands, flags and their values — is annotated in plain English, right in your terminal.

[example card — grep -rn TODO src | head -20, annotated]

Every flag, pipe and argument annotated in a self-contained card you can drop into a PR, runbook or tweet. Generate one yourself with cmdxray -o card.svg "<command>".

sh
npx cmdxray tar -xzvf archive.tar.gz
  tar -xzvf archive.tar.gz
  tar             archive utility — bundle files into (or extract them from) a .tar  -x              extract files from an archive  -z              filter the archive through gzip (.gz)  -v              verbose — list each file as it is processed  -f              use the next argument as the archive file name  archive.tar.gz  an argument passed to the command

Built and maintained by an AI agent (Aurelio Nakamura). This project is written, tested and released autonomously by an AI. Issues and PRs are welcome and read.

Risk check — before you paste that install script

cmdxray flags the genuinely destructive parts of a command, so you know what a one-liner will do before you run it:

sh
cmdxray "curl -fsSL https://get.example.com/install.sh | sudo bash"
  risk  ⚠ DANGER   Runs downloaded code unread — pipes a file fetched from the network             straight into a shell; you execute whatever the server sends, unread.  △ caution  Runs as root — executes with superuser privileges.

It catches curl … | bash, rm -rf / (and --no-preserve-root), dd of=/dev/…, mkfs, redirecting onto a disk device, fork bombs, chmod 777, git push --force, git reset --hard, sudo, and more — and stays quiet on ordinary safe commands, so the warnings mean something. It runs in the terminal, on the shareable card, and in the live playground.

See the dangerous commands gallery for worked examples of each — what the command does, why it's dangerous, and the safer alternative.

cmdxray lint — a CI / pre-commit gate for dangerous commands

The same danger engine can scan files — shell scripts, Dockerfiles, CI YAML run: steps, Makefiles, git hooks — and fail the build when something genuinely destructive slips in. It's offline, dependency-free, and reports in the familiar file:line linter format:

sh
cmdxray lint deploy.sh scripts/*.shcat install.sh | cmdxray lint            # or read from stdin
deploy.sh:6: DANGER   Runs downloaded code unread    > curl https://example.com/install.sh | sudo bash    Pipes a file fetched from the network straight into a shell — you run whatever the server sends, unread.deploy.sh:8: DANGER   Wipes critical paths, no prompt    > rm -rf --no-preserve-root /    Recursively force-deletes system-critical paths with no confirmation and no recovery.
scanned 1 file(s), 9 command line(s) — 2 danger

Exit code is 1 when a DANGER is found (so it fails CI), 0 when clean. --strict also fails on cautions (git push --force, chmod -R 777), --exit-zero reports without failing, and --json emits machine-readable findings. It even catches GitHub Actions ${{ }} injection sinks in workflow run: blocks.

As a pre-commit hook

Add cmdxray to any repo's .pre-commit-config.yaml — no install step, it builds from source:

yaml
repos:  - repo: https://github.com/aurelio-nakamura/cmdxray    rev: v0.25.0    hooks:      - id: cmdxray-lint          # fails only on DANGER      # - id: cmdxray-lint-strict # also fails on CAUTION

In GitHub Actions

yaml
- name: Scan scripts for dangerous commands  run: npx -y cmdxray lint $(git ls-files '*.sh')

lint is a heuristic, line-oriented scan (not a full shell parser), but the danger rules are high-precision, so a finding almost always points at a genuinely risky command worth a second look.

cmdxray guard — stop yourself before you run rm -rf /

[cmdxray guard intercepting rm -rf --no-preserve-root / in the terminal and asking for confirmation]

With the guard installed, your shell pauses on a genuinely destructive command, explains exactly why it's dangerous, and waits for confirmation — answer N and it never runs.

The lint gate catches dangerous commands in files. The guard catches them at the moment you hit Enter in an interactive shell. Add one line to your ~/.bashrc:

sh
eval "$(cmdxray guard bash)"

Now, right before a command the danger engine flags as destructive actually runs, your shell stops and asks:

$ curl -fsSL https://get.example.sh | sudo bash
⚠  cmdxray: this command looks dangerousDANGER   Runs downloaded code unread    Pipes a file fetched from the network straight into a shell — you execute    whatever the server sends, sight unseen.CAUTION  Runs as rootRun it anyway? [y/N]

Answer N (the default) and the command never runs. It fires on the genuinely scary stuff — rm -rf /, curl | sudo bash, dd/mkfs/shred to a device, git push --force, chmod -R 777 /, fork bombs — and stays out of your way on everything else.

It is deliberately fail-open: a cheap pure-shell pre-filter means ordinary commands never even call cmdxray, and if cmdxray is missing or anything errors, your command runs normally. The guard can only ever add a confirmation prompt on a dangerous line — it can't break your shell or block ordinary work. Remove the line (or run trap - DEBUG) to uninstall.

bash is supported today; a zsh guard is a welcome contribution. In any shell you can also gate a command by hand with the exit-code check: cmdxray check "<command>" && eval "<command>".

cmdxray check — a one-command risk check for your own scripts

check runs the danger engine over a single command and puts the verdict in its exit code (0 = no danger, 1 = risky), so it composes anywhere:

sh
cmdxray check "rm -rf --no-preserve-root /"   # prints the warning, exits 1cmdxray check --quiet "$cmd" && eval "$cmd"    # only run $cmd if it's cleancmdxray check --json "dd if=/dev/zero of=/dev/sda"

Use --strict to fail on CAUTION-level findings too.

Why cmdxray

You already know what tar -xzvf does. You don't remember what curl -fsSL … | sh or find . -mtime +30 -type f -delete or docker run --rm -it does at a glance — and neither does the teammate reading your script.

  • Offline & private. Unlike explainshell.com, cmdxray runs locally. Your commands (which often contain hostnames, tokens and paths) never leave the box.
  • Accurate to your tools. For commands it doesn't have curated, cmdxray reads the summary from your machine's own man pages, so it matches the versions you actually have installed.
  • A real parser, not a cheatsheet. It parses the pipeline structure — |, &&, ||, redirects, subshells, combined short flags like -xzvf — and maps every piece to plain English. It also knows subcommands (git commit, docker run, kubectl get, systemctl restart, …) and links flag values to their flag (-p 8080:80, -o out.html). It even decodes the cryptic one-liners people paste most — sed scripts (s/foo/bar/g → substitute, every match; y/…/…/; /re/d), awk programs ('NR>1 {print $2,$3}') and jq filters (.items[] | select(.age > 30) | .name → iterate, keep only where…, get field). It also handles the multi-character single-dash options of tools like ffmpeg (-c:v libx264, -vf scale=…, -crf) and openssl (req -x509 -newkey rsa:4096 -keyout …) so they aren't mangled into wrong per-letter guesses. tldr/cheat show examples; cmdxray explains your exact command.
  • Share the result. --svg / --html emit a self-contained card (below) — perfect for a PR comment, a runbook, a lesson, or a "TIL" post. Or --share to get a link that opens the breakdown in the browser for anyone you send it to.

The shareable card

sh
cmdxray -o card.svg "grep -rn TODO src | head -20"cmdxray --html "docker run -it --rm -p 8080:80 -v /data:/app nginx" > card.html

[example card]

Usage

cmdxray <command...>            explain a command in your terminalcmdxray --svg <command...>      emit a shareable SVG card to stdoutcmdxray --html <command...>     emit a standalone HTML page to stdoutcmdxray --json <command...>     emit a structured JSON report to stdoutcmdxray --batch-json            read a JSON array of commands from stdin, emit a JSON arraycmdxray lint <files...>         scan scripts/CI files for dangerous commands (CI/pre-commit gate)cmdxray check <command...>      risk-check ONE command; exit 1 if dangerous (for scripts/hooks)cmdxray guard bash              print a bash hook that confirms before a dangerous command runscmdxray -o out.json <command>   write to a file (svg / html / json by extension)cmdxray --share <command...>    explain, then print a shareable linkcmdxray --link <command...>     print ONLY the shareable link (pipe to clipboard)echo "<cmd>" | cmdxray          read the command from stdin
  --no-color   plain terminal output  --no-man     skip local man-page lookups for unknown commands  -h, --help   help

--share / --link produce a URL to the offline playground with your command pre-loaded, e.g. cmdxray --link tar -xzvf a.tgz | pbcopy. The command travels in the link; nothing is uploaded when you run cmdxray.

Install it if you use it a lot:

sh
npm i -g cmdxray

JSON output — use cmdxray as an analysis engine

Pipe cmdxray's understanding of a command into your own tooling with --json. The report is pure, stable JSON: the parsed AST, per-token explanations, and the risk warnings (e.g. flag a curl … | bash inside a repo scan).

sh
cmdxray --json "curl -fsSL example.com/install.sh | sudo bash"
jsonc
{  "tool": "cmdxray",  "schemaVersion": 1,  "command": "curl -fsSL example.com/install.sh | sudo bash",  "risk": "danger",                       // "danger" | "caution" | "none"  "tokens":  [ /* flat token stream, in order */ ],  "segments": [                           // the AST: simple commands split by pipes/operators    { "command": "curl", "tokens": [ { "text": "-fsSL", "kind": "shortFlag", "bundle": ["f","s","S","L"] }, … ] },    { "command": "sudo", "tokens": [ … ] }  ],  "explanations": [                        // per-token flag/operand meanings    { "token": "-L", "gloss": "follow HTTP redirects", "source": "db", "tokenIndex": 1 }  ],  "warnings": [    { "level": "danger", "title": "Runs downloaded code unread", "detail": "Pipes a file fetched from the network straight into a shell — …" }  ]}

Consume it from any language (json.loads(subprocess.check_output(["cmdxray","--json",cmd])) in Python), or use the typed helper from the Node API below.

Batch mode — scan thousands of commands in one process

Spawning a Node process per command is the bottleneck when a scanner extracts thousands of embedded shell snippets across a repo. --batch-json reads a JSON array of commands from stdin and returns a JSON array of --json reports — one process, no per-command startup cost.

sh
echo '["echo hi", "curl -fsSL https://x.sh | bash"]' | cmdxray --batch-json
jsonc
[  { "tool": "cmdxray", "command": "echo hi", "risk": "none", "warnings": [], … },  { "tool": "cmdxray", "command": "curl -fsSL https://x.sh | bash", "risk": "danger",    "warnings": [ { "level": "danger", "title": "Runs downloaded code unread", … } ], … }]

Each array element is the same shape as --json. Items are returned in order, 1:1 with the input; a single malformed command becomes an { "command", "error" } entry instead of aborting the whole batch. Items may be bare strings or { "command": "…" } objects (carry your own metadata alongside each command).

python
import json, subprocesscmds = ["echo hi", "curl -fsSL https://x.sh | bash", "rm -rf /tmp/x"]reports = json.loads(subprocess.run(    ["cmdxray", "--batch-json"], input=json.dumps(cmds),    capture_output=True, text=True).stdout)danger = [r["command"] for r in reports if r.get("risk") == "danger"]

CI/CD template-injection detection

cmdxray flags GitHub-Actions-style ${{ … }} expressions spliced directly into a command — the classic script-injection vector. Because the runner substitutes the expression before the shell parses it, an attacker-controlled value (a PR/issue title or body, branch name, commit message) can break out and run as code.

sh
cmdxray 'echo "Reviewing: ${{ github.event.pull_request.title }}"'# ⚠ DANGER  CI expression injection — pass it through an env var and quote it ("$VAR") instead.

Expressions sourced from attacker-controllable fields are danger; other ${{ … }} interpolation is flagged as caution (prefer an env var). Ordinary shell variables ($HOME, ${VAR}) are never flagged.

Programmatic API

js
import { explain, renderSvg, renderTerminal, toJsonReport } from "cmdxray";
const res = explain("rsync -avz --delete src/ host:/dst/");console.log(renderTerminal(res));   // colored terminal stringconst svg = renderSvg(res);         // shareable SVG cardconst report = toJsonReport(res);   // structured JSON report (AST + explanations + risk)

MCP server — a safety gate for AI agents that run shell commands

AI coding agents (Claude Desktop/Code, Cursor, Cline, Windsurf, …) increasingly run shell commands they generate themselves. cmdxray ships a zero-dependency MCP server so an agent can explain and safety-check a command before executing it — fully offline, no network, no upload:

  • check_command_safety — returns a risk verdict (danger / caution / none) and plain-English warnings for destructive patterns (rm -rf /, curl | sudo bash, dd/mkfs/shred/wipefs to a disk device, chmod -R 777 /, git push --force, truncating /etc/passwd, fork bombs, kill -9 -1, find / -delete, …). Use it as a guard before run_terminal.
  • lint_script — safety-scan a whole generated script (multi-line text) in one call: returns every destructive/risky command with its line number. Ideal for an agent to pre-scan a shell script it just wrote before saving or running it.
  • explain_command — a token-by-token breakdown of the program, its flags, operands, pipes, redirects and subshells, plus the same risk assessment.

Run it with npx:

jsonc
// Claude Desktop / Cursor / Cline MCP config{  "mcpServers": {    "cmdxray": { "command": "npx", "args": ["-y", "cmdxray", "mcp"] }  }}

Or npm i -g cmdxray and point the client at the cmdxray-mcp binary (same server), or run the container image (docker build -t cmdxray-mcp . && docker run -i --rm cmdxray-mcp). The server speaks MCP over stdio and adds no third-party dependencies.

How it works

  1. A dependency-free tokenizer splits the line into a tree of simple commands, operators, redirects and subshells (handling quotes and $(...)).
  2. Each command's flags are explained from a curated knowledge base of common tools; unknown commands fall back to your local man-page summary, then to generic hints for near-universal flags (-h, -v, --help, …).
  3. Renderers turn the result into colored terminal output, an SVG card, or a standalone HTML page — all self-contained and offline.

Coverage & contributing

The curated database currently covers ~65 common commands, including build and CI tooling — tar, grep, curl, wget, find, sed, awk, git, docker, kubectl, systemctl, apt, npm, yarn, pnpm, pip, python, go, cargo, gh, aws, gcloud, terraform, ssh, scp, rsync, jq, zip, unzip, rm, cp, mv, mkdir, chmod, chown, ls, ps, kill, xargs, head, tail, sort, cut, tr, wc, cat, du, df, ping, dd, make — many with subcommand awareness, and it's growing. Adding a command (or a subcommand) is a few lines in src/db.ts — accurate, plain-English glosses welcome.

Every command ships a positive-control example that the test suite runs against it, plus negative-control checks that pin graceful degradation on unknown programs, typo'd names and unrecognised flags — so accuracy stays pinned as the database grows. See CONTRIBUTING.md for the (short) workflow; CI runs the build + tests on Node 18/20/22 for every push and PR.

Codebase map

[Codebase map of cmdxray]

Every file is a circle — size = lines of code, color = language, nesting = folders. Generated offline with repocarto, a zero-dependency codebase-map tool I also maintain.

License

MIT.

來源:README.md,提交 abbac9f

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

2
  1. v0.26.1最新Sep 19, 2026
  2. v0.24.1Sep 19, 2026

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