
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.
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
在 SourceWeft 中
- 開啟 儀表板中的 cmdxray,將其新增到工作區。
- 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>".
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:
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:
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:
In GitHub Actions
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:
Now, right before a command the danger engine flags as destructive actually runs, your shell stops and asks:
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:
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/--htmlemit a self-contained card (below) — perfect for a PR comment, a runbook, a lesson, or a "TIL" post. Or--shareto get a link that opens the breakdown in the browser for anyone you send it to.
The shareable card
Usage
--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:
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).
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.
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).
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.
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
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/wipefsto a disk device,chmod -R 777 /,git push --force, truncating/etc/passwd, fork bombs,kill -9 -1,find / -delete, …). Use it as a guard beforerun_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:
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
- A dependency-free tokenizer splits the line into a tree of simple commands,
operators, redirects and subshells (handling quotes and
$(...)). - 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, …). - 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
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版本歷史
2- v0.26.1最新Sep 19, 2026
- v0.24.1Sep 19, 2026
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