apm vs SkillSpector
AI agent setup management and skill security scanning compared
apm manages and distributes AI-agent configuration through a project manifest and lockfile, while SkillSpector scans skills for security risks before installation. They address different stages of an agent workflow: setup management versus security review.
apm: Manage Dependencies for AI Agent Setups
APM manages AI-agent instructions, skills, prompts, plugins, and MCP servers through a project manifest and lockfile. It helps teams reproduce agent configurations across supported coding clients and apply installation security and policy controls.
SkillSpector: Scan AI Agent Skills for Security Risks
SkillSpector is a Python security scanner for Claude Code, Codex, Gemini CLI, and MCP agent skills. Its LangGraph-based pipeline combines static checks with optional LLM review to flag vulnerabilities and risky behavior before installation.
| apm | SkillSpector | |
|---|---|---|
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Stars | 3.9k | 20.6k |
| Forks | 385 | 1.8k |
| Last analyzed | Oct 3, 2026 | Oct 20, 2026 |
Key differences
- apm manages instructions, skills, prompts, plugins, and MCP server dependencies; SkillSpector analyzes skill files for suspicious patterns and dependency vulnerabilities.
- apm resolves dependencies and compiles configuration for supported coding clients; SkillSpector produces risk scores and reports for review or automation.
- apm includes installation policies, audits, and SBOM exports; SkillSpector offers static analysis, optional LLM review, baselines, and an MCP server.
- Both are written in Python, but apm is licensed under MIT and SkillSpector under Apache-2.0.
- apm reports 3.9k stars and 385 forks; SkillSpector reports 19.3k stars and 1.7k forks.
- SkillSpector requires Python 3.12 or later for local installation and also documents Docker; apm's supplied information focuses on manifest-based project setup.
Choose apm if you…
- need to manage shared, versioned agent configuration across repositories or coding clients.
- want dependency resolution, lockfiles, and controls over allowed sources and package types.
- need to package agent configuration or export an SBOM from its lockfile.
Choose SkillSpector if you…
- want to review a skill for security risks before installing it.
- need scan reports or exit-code workflows for CI, including JSON or SARIF output.
- want optional LLM-assisted findings, dependency vulnerability checks, or MCP-based scanning.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.