cmdxray
MCP serverAI & modelsLets your agent get an explanation of any shell command before running it, flagging parts that could be harmful.
Unavailable. This server has no hosted endpoint yet, so ahel can't serve it.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this server
Offline MCP server: explains shell commands token-by-token and flags destructive ones for AI agents.
From the project's README
As published by aurelio-nakamura/cmdxray in README.md.
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.
▶ 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.
Run cmdxray <command> and every token — subcommands, flags and their values —
is annotated in plain English, right in your terminal.
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>".
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:
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:
cmdxray lint deploy.sh scripts/*.sh
cat 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:
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
- name: Scan scripts for dangerous commands
run: npx -y cmdxray lint $(git ls-files '*.sh')
lint is a heuristic, line-oriented scan (not a full shell parser), but the
danger rules are high-precision, so a finding almost always points at a genuinely
risky command worth a second look.
cmdxray guard — stop yourself before you run rm -rf /
With the guard installed, your shell pauses on a genuinely destructive command,
explains exactly why it's dangerous, and waits for confirmation — answer N and
it never runs.
The lint gate catches dangerous commands in files. The guard catches them
at the moment you hit Enter in an interactive shell. Add one line to your
~/.bashrc:
eval "$(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 dangerous
DANGER 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 root
Run 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:
cmdxray check "rm -rf --no-preserve-root /" # prints the warning, exits 1
cmdxray check --quiet "$cmd" && eval "$cmd" # only run $cmd if it's clean
cmdxray 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/--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
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
Usage
cmdxray <command...> explain a command in your terminal
cmdxray --svg <command...> emit a shareable SVG card to stdout
cmdxray --html <command...> emit a standalone HTML page to stdout
cmdxray --json <command...> emit a structured JSON report to stdout
cmdxray --batch-json read a JSON array of commands from stdin, emit a JSON array
cmdxray 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 runs
cmdxray -o out.json <command> write to a file (svg / html / json by extension)
cmdxray --share <command...> explain, then print a shareable link
cmdxray --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:
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).
cmdxray --json "curl -fsSL example.com/install.sh | sudo bash"
{
"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.
echo '["echo hi", "curl -fsSL https://x.sh | bash"]' | cmdxray --batch-json
[
{ "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).
import json, subprocess
cmds = ["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.
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
import { explain, renderSvg, renderTerminal, toJsonReport } from "cmdxray";
const res = explain("rsync -avz --delete src/ host:/dst/");
console.log(renderTerminal(res)); // colored terminal string
const svg = renderSvg(res); // shareable SVG card
const 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/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:
// 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
- 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.
Signals
- GitHub stars
- 4
- Last commit
- Sep 2026
- Weekly downloads
- 2k
- Weekly_downloads
- 2k weekly_downloads
Advanced
- Delivery
- cmdxray MCP server → your ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-aurelio-nakamura-cmdxray- Source
- github.com/aurelio-nakamura/cmdxray