mcps
Verdict safe, but 3 findings (3 medium), mainly unauthorized tool use, data exfiltration. Most recent scan 2026-02-06.
This skill provides a legitimate MCP (Model Context Protocol) server management interface but introduces MEDIUM security risks through its core functionality. The primary concerns are: (1) enabling execution of arbitrary external commands via MCP server configuration without validation, (2) potential credential exposure through environment variable handling in configuration files, and (3) support for remote MCP servers without security guidance. These risks are inherent to the tool's purpose but lack adequate security warnings. The skill does not contain malicious code itself, but acts as a conduit for potentially unsafe operations. Users should be warned about validating MCP server sources, securing credentials, and risks of remote servers. Missing optional metadata (allowed-tools) and a referenced file are minor issues.
Scanner's overall assessment (LLM analyzer)
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
MCP CLI Manager - Manage MCP servers and call tools
- Package
- 1 file, 6.6 KB
- SKILL.md
- 891 words, 12+ sections
- Code
- None. Instructions only.
- Requires
- bins:
mcps - Homepage
- https://github.com/maplezzk/mcps
SKILL.md covers: mcps - MCP CLI Manager · Installation · Configuration Examples · Adding Various MCP Servers · Add fetch server (web scraping) · Add PostgreSQL server · Add GitLab server · Add SSE server · Add HTTP server · Config File Example (~/.mcps/mcp.json) · Quick Start · 1. Add an MCP server
Findings
MEDIUM Unbounded External Tool Execution via MCP Server Management Unauthorized Tool Usellm
The skill allows adding and executing arbitrary MCP servers with user-controlled commands and arguments. Users can configure servers to run any command (uvx, npx, or arbitrary binaries) with any arguments, creating a vector for tool exploitation. While this is the intended functionality of an MCP manager, it enables execution of untrusted code without validation or sandboxing. The skill provides no warnings about security implications of adding untrusted MCP servers.
SKILL.md
mcps add fetch --command uvx --args mcp-server-fetch
mcps add postgres --command npx --args @modelcontextprotocol/server-postgres
mcps add remote --type sse --url http://localhost:8000/sseMEDIUM Environment Variable Exposure Risk in Server Configuration Data Exfiltrationllm
The skill demonstrates passing sensitive credentials via environment variables (POSTGRES_CONNECTION_STRING, GITLAB_PERSONAL_ACCESS_TOKEN) to MCP servers. While using environment variables is better than hardcoding, the configuration examples show these being stored in ~/.mcps/mcp.json with ${VAR_NAME} references. If users misconfigure this or the mcps tool doesn't properly handle variable expansion, credentials could be exposed in plaintext configuration files or logs.
SKILL.md
"env": {
"POSTGRES_CONNECTION_STRING": "${DATABASE_URL}",
"GITLAB_PERSONAL_ACCESS_TOKEN": "${GITLAB_TOKEN}"
}MEDIUM Network-Based MCP Server Support Without Security Guidance Unauthorized Tool Usellm
The skill supports adding remote MCP servers via SSE and HTTP protocols (--type sse/http with --url). This allows connecting to arbitrary network endpoints without authentication validation or security warnings. Malicious or compromised remote servers could exploit the agent through tool responses, inject malicious content, or exfiltrate data through tool invocations.
SKILL.md
mcps add remote --type sse --url http://localhost:8000/sse
mcps add http-server --type http --url http://localhost:8000/mcpWhat is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 6.6 KB |
External hosts referenced
github.com gitlab.com
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Environment variables referenced
DATABASE_URL GITLAB_TOKEN MCPS_CONFIG_DIR MCPS_PORT
Package contents recorded 2026-10-22. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Llm analyzer. A language model reads the skill and reports intent-level issues the rules cannot express.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
- Meta analyzer. A second model pass that validates, deduplicates and re-scores the other analyzers' findings.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://clawhub.ai/skills/mcps-skill
- Raw scan result: mcps-scan.json
- Badge for your README:
 - Request a re-scan