cmdxray
# cmdxray
[](https://scorecard.dev/viewer/?uri=github.com/aurelio-nakamura/cmdxray)
[](https://www.npmjs.com/package/cmdxray)
[](https://glama.ai/mcp/servers/aurelio-nakamura/cmdxray)
**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](https://aurelio-nakamura.github.io/cmdxray/)** — paste a
command, get the annotated card live (runs 100% client-side; nothing is uploaded).
Or browse the [command reference](https://aurelio-nakamura.github.io/cmdxray/commands/)
(every curated command, flag by flag), the
[**popular one-liners gallery**](https://aurelio-nakamura.github.io/cmdxray/recipes/) —
`tar -xzvf`, `chmod 755`, `ps aux`, `grep -r`, `ss -tulpn` and other invocations
people search most, each broken down — or the
[**dangerous commands gallery**](https://aurelio-nakamura.github.io/cmdxray/danger/):
`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>"`.*
```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**](https://aurelio-nakamura.github.io/cmdxray/danger/)
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/*.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](#cicd-template-injection-detection)
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.
## 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
```

## 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 -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:
```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, 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](https://docs.github.com/actions/security-guides/security-hardening-for-github-actions)
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`, `${VAR}`) are never flagged.
## Programmatic API
```js
import { explain, renderSvg, renderTerminal, toJsonReport } from "cmdxray";
const res = explain("rsync -avz --delete src/ host:/dst/");
console.log(renderTerminal(res)); // colored terminal string
const svg = renderSvg(res); // shareable SVG card
const report = toJsonReport(res); // structured JSON report (AST + explanations + risk)
```
## MCP server — a safety gate for AI agents that run shell commands
AI coding agents (Claude Desktop/Code, Cursor, Cline, Windsurf, …) increasingly
run shell commands they generate themselves. cmdxray ships a **zero-dependency
[MCP](https://modelcontextprotocol.io) server** so an agent can *explain* and
*safety-check* a command **before executing it** — fully offline, no network, no
upload:
- **`check_command_safety`** — returns a risk verdict (`danger` / `caution` /
`none`) and plain-English warnings for destructive patterns (`rm -rf /`,
`curl | sudo bash`, `dd`/`mkfs`/`shred`/`wipefs` to a disk device,
`chmod -R 777 /`, `git push --force`, truncating `/etc/passwd`, fork bombs,
`kill -9 -1`, `find / -delete`, …). Use it as a guard before `run_terminal`.
- **`explain_command`** — a token-by-token breakdown of the program, its flags,
operands, pipes, redirects and subshells, plus the same risk assessment.
Run it with `npx`:
```jsonc
// Claude Desktop / Cursor / Cline MCP config
{
"mcpServers": {
"cmdxray": { "command": "npx", "args": ["-y", "cmdxray-mcp"] }
}
}
```
Or `npm i -g cmdxray` and point the client at the `cmdxray-mcp` binary, or run
the container image (`docker build -t cmdxray-mcp . && docker run -i --rm
cmdxray-mcp`). The server speaks MCP over stdio and adds **no third-party
dependencies**.
## How it works
1. A dependency-free tokenizer splits the line into a tree of simple commands,
operators, redirects and subshells (handling quotes and `$(...)`).
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`](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](CONTRIBUTING.md) for the (short) workflow; CI runs the build +
tests on Node 18/20/22 for every push and PR.
## License
MIT.
TDQS
Scored across 2 tools
The tools have distinct primary purposes — safety checking versus explanation — but explain_command also includes a risk assessment, creating some overlap with check_command_safety. Agents seeking only a risk verdict might be uncertain which tool to use, though the descriptions clarify the intended differences.
Both tools follow the same verb_noun pattern: check_command_safety and explain_command. The naming is consistent and clearly indicates each tool's action and target.
Two tools is on the thin side, but the server's scope is narrowly focused on shell command analysis, so the count is acceptable if not insufficient. It feels slightly sparse but not unreasonable for the stated purpose.
The domain appears to be shell command analysis, and the two tools cover safety checking and explanation, which are the core needs. Minor gaps exist, such as no syntax validation or comparison tool, but agents can accomplish the primary workflows without dead ends.